airtable-mcp-server - Alternatives & Competitors

MCP server providing LLMs with read/write access to Airtable databases.

airtable-mcp-server enables language models to inspect Airtable schemas and interact with Airtable databases through the Model Context Protocol (MCP). It provides tools for listing, reading, and writing records, allowing integration with environments like Claude Desktop, Cursor, and Cline. The solution uses user-provided Airtable API keys for authentication, supporting secure access and manipulation of Airtable data via standardized MCP-compatible clients.

#Airtable Integration #LLM Tooling #database-access #schema-inspection #Data Automation #Protocol Server

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  • 1
    Airtable MCP Server

    Airtable MCP Server

    Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

    Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

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  • 2
    greptimedb-mcp-server

    greptimedb-mcp-server

    A Model Context Protocol (MCP) server for secure, structured AI access to GreptimeDB.

    greptimedb-mcp-server implements a Model Context Protocol (MCP) server for GreptimeDB, enabling AI assistants to securely explore and analyze database contents. It provides controlled operations such as listing tables, reading data, and executing SQL queries, ensuring responsible access. The server offers integration with Claude Desktop and supports prompt management for structured AI interactions.

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  • 3
    dbt MCP Server

    dbt MCP Server

    Bridge dbt projects and AI agents with rich project context.

    dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

    420 90 MCP
  • 4
    CipherTrust Manager MCP Server

    CipherTrust Manager MCP Server

    Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

    CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

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  • 5
    BigQuery MCP Server

    BigQuery MCP Server

    MCP server enabling LLMs to access and interact with BigQuery databases.

    BigQuery MCP Server provides a Model Context Protocol-compliant interface that allows large language models to inspect database schemas and execute SQL queries on BigQuery. It exposes tools for executing queries, listing tables, and describing table schemas, supporting both CLI and environment-based configuration. The server integrates with Claude Desktop and can be easily installed via Smithery, facilitating seamless interaction between LLMs and BigQuery data sources.

    120 34 MCP
  • 6
    MCP MongoDB Server

    MCP MongoDB Server

    A Model Context Protocol server for LLM interaction with MongoDB databases.

    MCP MongoDB Server enables large language models to interact with MongoDB databases through the standardized Model Context Protocol interface. It provides schema inspection, document querying, aggregation, and write operations with intelligent ObjectId handling and flexible read-only configurations. Designed for seamless integration with tools like Claude Desktop, it offers collection completions, schema inference, and robust support for both development and production environments.

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  • 7
    Supabase MCP Server

    Supabase MCP Server

    Connect Supabase projects to AI assistants using the Model Context Protocol.

    Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

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  • 8
    OpsLevel MCP Server

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    Read-only MCP server for integrating OpsLevel data with AI tools.

    OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

    8 7 MCP
  • 9
    mcp-server-duckdb

    mcp-server-duckdb

    A Model Context Protocol server enabling SQL access to DuckDB databases.

    Implements a Model Context Protocol (MCP) server for DuckDB, allowing structured database interaction via MCP-compliant tools and language models. Offers a unified query tool for executing any SQL statement, with support for read-only mode to ensure data integrity. Flexible configuration options include database path specification and connection management. Easily integrable with applications like Claude Desktop for enhanced local data analysis through LLMs.

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  • 10
    mcp-graphql

    mcp-graphql

    Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.

    mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.

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  • 11
    Multi-Database MCP Server (by Legion AI)

    Multi-Database MCP Server (by Legion AI)

    Unified multi-database access and AI interaction server with MCP integration.

    Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

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  • 12
    YDB MCP

    YDB MCP

    MCP server for AI-powered natural language database operations on YDB.

    YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

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  • 13
    Fireproof MCP Database Server

    Fireproof MCP Database Server

    A JSON document store server implementation based on the Model Context Protocol for AI integration.

    Implements a JSON document store that supports CRUD operations and field-based sorting, designed to work as a server within the Model Context Protocol (MCP) ecosystem. Offers integration with the Fireproof database and is intended for use cases such as Claude Desktop. Provides tooling and instructions for setup, configuration, and debugging using the MCP Inspector.

    29 10 MCP
  • 14
    SQLite Explorer MCP Server

    SQLite Explorer MCP Server

    Secure, read-only access to SQLite databases for LLMs via the Model Context Protocol.

    SQLite Explorer MCP Server provides a safe, read-only interface to SQLite databases using the Model Context Protocol (MCP). Built with the FastMCP framework, it enables large language models to explore, query, and retrieve database schema information with robust safety and validation mechanisms. The server exposes structured tools such as read_query, list_tables, and describe_table, ensuring secure and reliable access to database contents. Designed for integration with platforms like Claude Desktop and Cline VSCode Plugin.

    93 24 MCP
  • 15
    MCP Language Server

    MCP Language Server

    Bridge codebase navigation tools to AI models using MCP-enabled language servers.

    MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

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  • 16
    AgentQL MCP Server

    AgentQL MCP Server

    MCP-compliant server for structured web data extraction using AgentQL.

    AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.

    120 28 MCP
  • 17
    Firefly MCP Server

    Firefly MCP Server

    Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

    Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

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  • 18
    InfluxDB MCP Server

    InfluxDB MCP Server

    Expose InfluxDB data and tools to AI models via the Model Context Protocol.

    InfluxDB MCP Server is a Model Context Protocol (MCP) server that enables AI models to access, write, and manage time-series data stored in InfluxDB instances through a standardized API. It provides resources for organizations, buckets, and measurements, as well as tools for running Flux queries, writing data, and managing InfluxDB objects. The server includes prompt templates for common query operations and supports seamless integration with AI platforms like Claude Desktop. Easy installation options are offered via Smithery, npx, npm, or from source.

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  • 19
    Insforge MCP Server

    Insforge MCP Server

    A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

    Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

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  • 20
    MCP SQLite Server

    MCP SQLite Server

    A Model Context Protocol server for interacting with SQLite databases.

    MCP SQLite Server enables comprehensive interaction with SQLite databases via the Model Context Protocol. It allows users to perform full CRUD operations, explore database schema, and execute custom SQL queries in a standardized, MCP-compatible way. Designed for integration with modern IDEs, it streamlines database management and introspection for developers and AI model workflows.

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  • 21
    MCP Server for Milvus

    MCP Server for Milvus

    Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

    MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

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  • 22
    Prisma MCP

    Prisma MCP

    Bridging LLMs and databases through standardized API protocols

    Prisma MCP provides local and remote MCP servers that enable large language models (LLMs) to access and manage Prisma Postgres databases using the Model Context Protocol. It exposes a suite of structured tools for database operations like creation, backup, recovery, introspection, and executing SQL queries. The platform enables secure, permissioned interactions and integrates seamlessly with development workflows and AI platforms.

    32 2 MCP
  • 23
    Snowflake MCP Server

    Snowflake MCP Server

    MCP server enabling secure and structured Snowflake database interaction with AI tools.

    Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

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  • 24
    Hydrolix MCP Server

    Hydrolix MCP Server

    MCP server for secure, efficient SQL access to Hydrolix clusters.

    Hydrolix MCP Server provides a Model Context Protocol (MCP) interface for executing SQL queries, listing databases, and listing tables on Hydrolix clusters. It ensures safe, read-only data access and includes a standardized health-check endpoint. The server integrates easily with various MCP-compatible clients, supporting multiple authentication methods using either credentials or service account tokens.

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  • 25
    Plane MCP Server

    Plane MCP Server

    Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.

    Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.

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  • 26
    mcp-server-apache-airflow

    mcp-server-apache-airflow

    A Model Context Protocol server for integrating Apache Airflow with MCP clients.

    mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.

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  • 27
    Apple Books MCP

    Apple Books MCP

    Model Context Protocol server for integrating and managing Apple Books data with AI assistants.

    Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

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  • 28
    MCP Toolbox for Databases

    MCP Toolbox for Databases

    Open source MCP server for secure and efficient Gen AI database integrations.

    MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.

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  • 29
    Nocodb MCP Server

    Nocodb MCP Server

    Natural language access and management for NocoDB using the Model Context Protocol.

    Nocodb MCP Server enables seamless CRUD operations and schema management on NocoDB databases via the Model Context Protocol (MCP). It allows users to perform database actions such as creating, reading, updating, deleting records, and altering table structures through natural language commands. The tool integrates easily with external platforms like Claude Desktop and supports both API and CLI usage. TypeScript-based, it provides modern maintainability and compatibility enhancements.

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  • 30
    Dappier MCP Server

    Dappier MCP Server

    Real-time web search and premium data access for AI agents via Model Context Protocol.

    Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

    35 11 MCP
  • 31
    Teamwork MCP Server

    Teamwork MCP Server

    Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

    Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

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  • 32
    mcp-miro

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    mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.

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  • 33
    MongoDB MCP Server

    MongoDB MCP Server

    A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

    MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

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  • 34
    SkySQL MCP Server

    SkySQL MCP Server

    Serverless MariaDB database management with AI-powered agents via Model Context Protocol.

    SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

    2 3 MCP
  • 35
    Agentset MCP

    Agentset MCP

    Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

    Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

    22 10 MCP
  • 36
    Stape MCP Server

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    An MCP server implementation for integrating Stape with AI model context protocols.

    Stape MCP Server provides an implementation of the Model Context Protocol server tailored for the Stape platform. It enables secure and standardized access to model context capabilities, allowing integration with tools such as Claude Desktop and Cursor AI. Users can easily configure and authenticate MCP connections using provided configuration samples, while managing context and credentials securely. The server is open source and maintained by the Stape Team under the Apache 2.0 license.

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  • 37
    Intruder MCP

    Intruder MCP

    Enable AI agents to control Intruder.io via the Model Context Protocol.

    Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

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  • 38
    BigQuery MCP Server

    BigQuery MCP Server

    Enables LLMs to securely converse with BigQuery data using natural language.

    BigQuery MCP Server acts as a bridge between large language models and Google BigQuery, allowing natural language interactions with database data through the Model Context Protocol. Designed for integration with Claude Desktop, it securely processes user queries and translates them into SQL, streamlining data access and minimizing manual query writing. The tool ensures safe and read-only data operations, supports both tables and materialized views, and labels resource types for easier exploration. Installation is possible via Smithery or manual setup, with a focus on developer-friendliness and robust authentication options.

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  • 39
    MCP libSQL by xexr

    MCP libSQL by xexr

    Secure, protocol-compliant libSQL database server for MCP-enabled clients.

    MCP libSQL by xexr provides a Model Context Protocol (MCP) server designed for secure database access and management via libSQL. It enables database operations—such as querying, table management, and schema inspection—through standardized MCP tools, ensuring compatibility with clients like Claude Desktop and Cursor. The project emphasizes robust security validation, audit logging, and comprehensive error handling. Users benefit from production-ready deployment, extensive test coverage, and streamlined integration with MCP-compatible platforms.

    16 3 MCP
  • 40
    Make MCP Server (legacy)

    Make MCP Server (legacy)

    Enable AI assistants to utilize Make automation workflows as callable tools.

    Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

    142 39 MCP
  • 41
    Weblate MCP Server

    Weblate MCP Server

    Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.

    Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.

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  • 42
    APISIX Model Context Protocol Server

    APISIX Model Context Protocol Server

    Bridge LLMs with APISIX for natural language API management.

    APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

    29 9 MCP
  • 43
    Nile MCP Server

    Nile MCP Server

    A Model Context Protocol (MCP) server for managing databases on the Nile platform through standardized interfaces.

    Nile MCP Server implements the Model Context Protocol to enable seamless integration between LLM applications and the Nile database platform. It provides standardized APIs for database and credential management, SQL execution, and region discovery. Written in TypeScript, the server focuses on type safety, comprehensive error handling, and robust input validation. It supports easy installation and integration with Claude Desktop for advanced AI workflows.

    16 9 MCP
  • 44
    Keycloak MCP Server

    Keycloak MCP Server

    MCP server for streamlined Keycloak administration and user management

    Keycloak MCP Server provides a Model Context Protocol (MCP) interface for managing Keycloak users and realms. It enables easy creation, deletion, and listing of users and realms through standardized tools. Designed for integration with platforms like Claude Desktop and tools like Smithery, it automates repeated Keycloak admin tasks and supports both NPM and local development setups.

    33 9 MCP
  • 45
    MCP Manager for Claude Desktop

    MCP Manager for Claude Desktop

    A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

    MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

    270 41 MCP
  • 46
    Raindrop.io MCP Server

    Raindrop.io MCP Server

    Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.

    Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.

    63 15 MCP
  • 47
    Taskade MCP

    Taskade MCP

    Tools and server for Model Context Protocol workflows and agent integration

    Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

    90 20 MCP
  • 48
    MCP Server for Asana

    MCP Server for Asana

    Bridge Asana's API with Model Context Protocol tools for seamless task management.

    MCP Server for Asana provides a Model Context Protocol (MCP) compliant interface to the Asana API, enabling direct interaction with Asana from MCP clients such as Claude Desktop. It offers tools to list, search, retrieve, and create tasks and projects within Asana workspaces, with options for both read and write operations. The server supports advanced task filtering, project searching, and read-only modes for secure testing. Integration facilitates automation and streamlined project management within AI-powered environments.

    107 41 MCP
  • 49
    Lara Translate MCP Server

    Lara Translate MCP Server

    Context-aware translation server implementing the Model Context Protocol.

    Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.

    76 13 MCP
  • 50
    attio-mcp-server

    attio-mcp-server

    MCP server for enabling Attio CRM access via AI model context clients.

    attio-mcp-server implements a Model Context Protocol (MCP) server that facilitates communication between MCP clients, such as Claude, and the Attio CRM API. It enables reading and writing company notes and records within Attio by leveraging a bearer token for authentication. Designed for Node.js, it provides streamlined integration with Attio for applications utilizing AI-driven model context protocols.

    16 24 MCP

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