dbt-docs-mcp - Alternatives & Competitors

MCP server for querying dbt project metadata and lineage

dbt-docs-mcp implements a Model Context Protocol (MCP) server that interacts with dbt project metadata artifacts such as manifest.json and catalog.json. It exposes the dbt project graph through a standardized API, enabling search and inspection of models, sources, columns, and their upstream/downstream lineage. The solution facilitates column-level and model-level lineage analysis, node inspection, and can be extended to support database metadata querying and custom knowledge bases. It is designed for integrations with MCP-compatible clients, supporting advanced data discovery and context sharing workflows.

#dbt #metadata #data lineage #column-level lineage #Python #API server

Ranked by Relevance

  • 1
    MCP-Typescribe

    MCP-Typescribe

    An MCP server for serving TypeScript API context to language models.

    MCP-Typescribe is an open-source implementation of the Model Context Protocol (MCP) focused on providing LLMs with contextual, real-time access to TypeScript API documentation. It parses TypeScript (and other) definitions using TypeDoc-generated JSON and serves this information via a queryable server that supports tools used by AI coding assistants. The solution enables AI agents to dynamically explore, search, and understand unknown APIs, accelerating onboarding and supporting agentic behaviors in code generation.

    45 6 MCP
  • 2
    Alkemi MCP Server

    Alkemi MCP Server

    Integrate Alkemi Data sources with MCP Clients for seamless, standardized data querying.

    Alkemi MCP Server provides a STDIO wrapper for connecting Alkemi data sources—including Snowflake, Google BigQuery, and Databricks—with MCP Clients using the Model Context Protocol. It facilitates context sharing, database metadata management, and query generation through a standardized protocol endpoint. Shared MCP Servers allow teams to maintain consistent, high-quality data querying capabilities without needing to replicate schemas or query knowledge for each agent. Out-of-the-box integration with Claude Desktop and robust debugging tools are also included.

    2 1 MCP
  • 3
    NyxDocs

    NyxDocs

    MCP server for real-time cryptocurrency project documentation and insights.

    NyxDocs is a Model Context Protocol (MCP) compatible server built in Python for managing and serving up-to-date documentation for cryptocurrency projects. It aggregates information from multiple sources such as CoinGecko, GitHub, GitBook, Notion, and official websites, providing real-time data and updates on blockchain ecosystems. Featuring tools for searching projects, retrieving detailed info, extracting documentation, and monitoring changes, it is tailored for developers and AI contexts needing access to accurate crypto documentation. The architecture leverages a FastMCP-based server core, automated document scrapers, and supports multi-blockchain environments.

    3 3 MCP
  • 4
    Chainlist MCP Server

    Chainlist MCP Server

    Fast, structured EVM chain info for AI agents via the Model Context Protocol

    Chainlist MCP Server enables AI agents and MCP-compatible clients to quickly access and search verified EVM blockchain data. It sources data from Chainlist.org and provides efficient REST-like tools for retrieving details by chain ID or searching by keyword. The server outputs structured Markdown responses, supporting AI context integration with tabulated RPC endpoints and explorers for clarity.

    2 2 MCP
  • 5
    MCP Server for Data Exploration

    MCP Server for Data Exploration

    Interactive Data Exploration and Analysis via Model Context Protocol

    MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

    503 63 MCP
  • 6
    Databricks Genie MCP Server

    Databricks Genie MCP Server

    Bridge natural language queries to Databricks Genie via Model Context Protocol.

    Databricks Genie MCP Server enables interaction between large language models and the Databricks Genie API using the Model Context Protocol. It allows users to ask natural language questions, start and manage conversations, and run SQL queries in Genie spaces. The tool provides structured results, supports follow-up queries, and facilitates connection through both standard and Docker-based setups. Designed for use with Claude Desktop, it streamlines conversational analytics within Databricks workspaces.

    12 2 MCP
  • 7
    Gradle MCP Server

    Gradle MCP Server

    MCP server for programmatic Gradle project inspection and task execution.

    Gradle MCP Server acts as a Model Context Protocol (MCP) server enabling AI tools to interact with Gradle projects through structured APIs. It allows clients to inspect project details, execute Gradle tasks, and run tests while retrieving detailed results in JSON format. This server supports both information querying and task orchestration, designed to integrate with platforms like VSCode extensions and Claude Desktop. It leverages the Gradle Tooling API to provide comprehensive build and test insights.

    38 4 MCP
  • 8
    Bugsnag MCP Server

    Bugsnag MCP Server

    A Model Context Protocol server for AI-powered Bugsnag error monitoring and management.

    Bugsnag MCP Server provides a Model Context Protocol-compliant interface for AI tools to interact with Bugsnag, enabling advanced error monitoring, analysis, and management. It allows navigation of organizations and projects, filtering and investigation of errors and events, and detailed stacktrace and exception chain visualization. The server is designed for easy integration with LLM-powered agents like Cursor and Claude, supporting rich context retrieval and automated issue resolution workflows.

    18 5 MCP
  • 9
    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.

    1,256 94 MCP
  • 10
    Catalysis Hub MCP Server

    Catalysis Hub MCP Server

    MCP-compliant server for accessing catalysis research data via GraphQL.

    Catalysis Hub MCP Server provides a Model Context Protocol interface to the Catalysis Hub's GraphQL API, enabling seamless programmatic access to catalyst research datasets. It allows users to execute flexible and complex GraphQL queries to retrieve reaction, material, and publication data. The server supports robust error handling, parameterized queries, and is designed for interoperability with AI agents in scientific workflows.

    1 3 MCP
  • 11
    mcp-server-sql-analyzer

    mcp-server-sql-analyzer

    MCP server for SQL analysis, linting, and dialect conversion.

    Provides standardized MCP server capabilities for analyzing, linting, and converting SQL queries across multiple dialects using SQLGlot. Supports syntactic validation, dialect transpilation, extraction of table and column references, and offers tools for understanding query structures. Facilitates seamless workflow integration with AI assistants through a set of MCP tools.

    26 5 MCP
  • 12
    CrateDocs MCP

    CrateDocs MCP

    MCP server for Rust crate documentation lookup and search

    CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

    9 2 MCP
  • 13
    Blockchain MCP powered by Tatum

    Blockchain MCP powered by Tatum

    MCP server for universal blockchain data access across 130+ networks.

    Blockchain MCP powered by Tatum is a Model Context Protocol (MCP) server that enables large language models (LLMs) to read and write blockchain data across more than 130 networks. It provides unified access to both the Tatum Blockchain Data API and direct RPC gateways, supporting tools for retrieving balances, portfolios, transactions, and more. The platform is designed for seamless integration via API key and configurable MCP client setups, making it easier to build blockchain-aware AI solutions. Comprehensive documentation and extensive network compatibility facilitate robust development and scalability.

    12 10 MCP
  • 14
    TheGraph MCP Server

    TheGraph MCP Server

    Empowering AI agents with indexed blockchain data from The Graph

    TheGraph MCP Server provides AI agents with seamless access to indexed blockchain data through The Graph protocol. It offers tools for fetching subgraph schemas and executing custom GraphQL queries, making blockchain data exploration efficient for AI-powered applications. The server is tailored for easy integration as a Model Context Protocol (MCP) server, enabling intelligent context-aware data retrieval.

    7 12 MCP
  • 15
    solvitor-mcp

    solvitor-mcp

    A Rust-based MCP server for extracting Solana smart contract IDL via the Solvitor API.

    solvitor-mcp is a Model Context Protocol (MCP) server built in Rust for seamless interaction with the Solvitor API. It allows users to extract Interface Definition Language (IDL) files from closed-source Solana smart contracts using reverse engineering techniques. By exposing a 'decode' tool, it simplifies access to program metadata and supports both 'anchor' and 'native' Solana programs. Integration is straightforward and can be customized with user API keys for secure access.

    2 2 MCP
  • 16
    Kaggle MCP Server

    Kaggle MCP Server

    Model Context Protocol server enabling Kaggle dataset search and download tools.

    Kaggle MCP Server implements the Model Context Protocol (MCP) using the fastmcp library and provides tools for searching and downloading datasets from Kaggle via a standardized MCP interface. It manages Kaggle API authentication, exposes search and download tools as MCP resources, and offers prompts for generating exploratory data analysis notebooks. The server can be run locally or via Docker, supporting easy integration with MCP clients and compliant applications.

    28 7 MCP
  • 17
    GitMCP

    GitMCP

    Instantly turn any GitHub repository into an AI-ready documentation hub.

    GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

    6,916 571 MCP
  • 18
    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.

    3 2 MCP
  • 19
    PancakeSwap PoolSpy MCP Server

    PancakeSwap PoolSpy MCP Server

    Real-time tracking of new PancakeSwap pools for DeFi analytics.

    PancakeSwap PoolSpy MCP Server provides a Model Context Protocol-compatible service for monitoring newly created liquidity pools on PancakeSwap. It offers real-time analytics including pool address, tokens, creation timestamp, volume, and total value locked. Users can customize queries for time range and results count, making it valuable for traders, analysts, and developers seeking up-to-date DeFi insights. The server is designed for easy deployment and integration via Smithery or manual setup.

    6 4 MCP
  • 20
    Hyperliquid Info MCP Server

    Hyperliquid Info MCP Server

    Real-time Hyperliquid perp DEX data and analytics via MCP.

    Provides an MCP-compliant server interface for accessing real-time user and market data from the Hyperliquid perpetual DEX. Enables bots, dashboards, and analytics platforms to query user positions, trading history, order books, and funding details seamlessly. Designed for integration with platforms like Claude Desktop and supports ISO 8601 time filtering.

    23 10 MCP
  • 21
    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
  • 22
    Databricks MCP Server

    Databricks MCP Server

    Expose Databricks data and jobs securely with Model Context Protocol for LLMs.

    Databricks MCP Server implements the Model Context Protocol (MCP) to provide a bridge between Databricks APIs and large language models. It enables LLMs to run SQL queries, list Databricks jobs, retrieve job statuses, and fetch detailed job information via a standardized MCP interface. The server handles authentication, secure environment configuration, and provides accessible endpoints for interaction with Databricks workspaces.

    42 24 MCP
  • 23
    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.

    54 22 MCP
  • 24
    VictoriaLogs MCP Server

    VictoriaLogs MCP Server

    MCP server enabling advanced read-only access and observability for VictoriaLogs

    VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

    30 7 MCP
  • 25
    Trino MCP Server

    Trino MCP Server

    Expose Trino tables and querying via the Model Context Protocol.

    Trino MCP Server acts as an MCP-compatible interface, allowing users to query and list tables from Trino using Python. It bridges Trino's distributed SQL engine with the Model Context Protocol, exposing Trino tables as MCP resources. The server supports executing arbitrary SQL queries against Trino through a standardized protocol. It uses environment variable configuration for seamless integration and is built to interface with the broader MCP ecosystem.

    18 9 MCP
  • 26
    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.

    170 75 MCP
  • 27
    airtable-mcp-server

    airtable-mcp-server

    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.

    343 119 MCP
  • 28
    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
  • 29
    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.

    45 17 MCP
  • 30
    MCP Server ODBC via SQLAlchemy

    MCP Server ODBC via SQLAlchemy

    A lightweight FastAPI server enabling model context protocol access to ODBC-compatible databases via SQLAlchemy.

    MCP Server ODBC via SQLAlchemy provides a lightweight, FastAPI-based server that implements the Model Context Protocol (MCP) for accessing ODBC-compatible databases. It bridges AI tools and database systems by exposing standardized endpoints for fetching schema, tables, table descriptions, and executing queries or stored procedures. With support for Virtuoso, PostgreSQL, MySQL, and SQLite, it allows seamless, structured, and context-aware database access for context-driven applications.

    19 8 MCP
  • 31
    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.

    23 11 MCP
  • 32
    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
  • 33
    Product Hunt MCP Server

    Product Hunt MCP Server

    Plug-and-play MCP server for accessing Product Hunt data with LLMs and agents.

    Product Hunt MCP Server acts as a bridge between Product Hunt’s API and any agent or LLM that supports the Model Context Protocol (MCP). It enables fast and standardized access to posts, collections, topics, users, comments, and votes on Product Hunt. Built on FastMCP, it ensures seamless compatibility with popular AI tooling like Claude Desktop and Cursor. Integration is straightforward, requiring only a Product Hunt API token and simple configuration.

    33 8 MCP
  • 34
    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.

    76 19 MCP
  • 35
    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.

    171 22 MCP
  • 36
    Query MCP server for Supabase

    Query MCP server for Supabase

    Open-source MCP server for secure and managed Supabase project operations.

    Query MCP server provides an open-source implementation of the Model Context Protocol (MCP) for Supabase, enabling secure execution of SQL, schema management, and project administration directly from compatible IDEs. It offers robust safety measures, runtime SQL validation, and transaction handling, supporting collaboration across MCP clients. The server empowers developers to manage Supabase projects, users, and schema while ensuring built-in safety controls.

    811 99 MCP
  • 37
    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.

    196 57 MCP
  • 38
    Opik MCP Server

    Opik MCP Server

    A unified Model Context Protocol server for Opik with multi-transport IDE integration.

    Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

    182 27 MCP
  • 39
    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.

    15 6 MCP
  • 40
    Snowflake Cortex AI Model Context Protocol (MCP) Server

    Snowflake Cortex AI Model Context Protocol (MCP) Server

    Tooling and orchestration for Snowflake Cortex AI via Model Context Protocol.

    Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.

    176 60 MCP
  • 41
    VikingDB MCP Server

    VikingDB MCP Server

    MCP server for managing and searching VikingDB vector databases.

    VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

    3 5 MCP
  • 42
    ClickHouse MCP Server

    ClickHouse MCP Server

    An MCP-compliant server for executing and managing SQL queries on ClickHouse and chDB.

    ClickHouse MCP Server provides an MCP-compliant interface for executing SQL queries, listing databases, and managing tables on ClickHouse clusters. It supports both direct ClickHouse connections and embedded chDB engines, offering pagination, filtering, and detailed metadata in responses. Integrated health checks and flexible configuration options make it suitable for a variety of deployment scenarios.

    592 127 MCP
  • 43
    mcp-memgraph

    mcp-memgraph

    Expose Memgraph database features via the Model Context Protocol.

    mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

    52 5 MCP
  • 44
    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.

    5 8 MCP
  • 45
    dicom-mcp

    dicom-mcp

    A Model Context Protocol server for managing and querying DICOM medical imaging data.

    dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

    74 21 MCP
  • 46
    MCP-Twikit

    MCP-Twikit

    A Model Context Protocol server for Twitter search and interaction.

    MCP-Twikit is an MCP-compliant server that enables interaction with the Twitter platform via the Model Context Protocol. It supports functions such as searching tweets, analyzing sentiments across accounts, and retrieving a user's Twitter timeline. The tool is designed for integration with AI clients to facilitate structured, context-aware access to Twitter data.

    211 27 MCP
  • 47
    OpenLink MCP Server for JDBC

    OpenLink MCP Server for JDBC

    A lightweight Java-based MCP server enabling model context protocol integration with any JDBC-compatible database.

    OpenLink MCP Server for JDBC provides a Java-based implementation of the Model Context Protocol (MCP), facilitating structured, context-aware interactions with relational databases via JDBC. It supports a variety of database operations, including schema and table discovery, table element descriptions, SQL query execution in multiple formats, and Virtuoso-specific features. Easily configurable and designed for integration with tools like Claude Desktop, it enables model-context-aware applications to access and manage database content effectively.

    8 7 MCP
  • 48
    mindsdb

    mindsdb

    Connect, unify, and query data at scale with an open-source AI platform.

    MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

    35,487 5,735 MCP
  • 49
    Aiven MCP Server

    Aiven MCP Server

    Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

    Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

    11 11 MCP
  • 50
    mcp-trino

    mcp-trino

    A fast Go-based MCP server for seamless Trino SQL access.

    mcp-trino is a Model Context Protocol (MCP) server implemented in Go, designed for high-performance integration with Trino's distributed SQL engine. It enables AI assistants and clients to issue SQL queries, discover catalogs, schemas, and tables, and fetch schema information through standardized MCP tools over HTTP and STDIO transports. The solution supports optional OAuth2 authentication, connects to a variety of data sources through Trino, and is available as a Docker container.

    79 29 MCP

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Didn't find tool you were looking for?

Be as detailed as possible for better results