mcp-graphql - Alternatives & Competitors

Ranked by Relevance

• 1
  

  gqai

  Expose GraphQL operations as Model Context Protocol (MCP) tools for AI models.

  gqai is a lightweight proxy that converts GraphQL operations into MCP-compatible tools, enabling integration with AI systems such as ChatGPT, Claude, and Cursor. It automatically discovers and exposes GraphQL queries and mutations as callable tools via an MCP server, powered by your existing GraphQL backend. Configuration is managed via standard .graphqlrc.yml and .graphql files, with support for dynamic endpoints and environment variables.

  21 4 MCP
• 2
  

  mcp-graphql-forge

  Configuration-driven MCP server exposing modular GraphQL queries as tools.

  mcp-graphql-forge provides a lightweight, easily configurable Model Context Protocol (MCP) server that transforms any GraphQL endpoint into a set of modular API tools. Tools, defined in YAML, specify GraphQL queries and parameters to enable curated interactions via a standardized protocol. Written in Go, it emphasizes modularity, security, and extensibility without requiring code changes, and offers ready-to-run binaries for all major platforms.

  3 2 MCP
• 3
  

  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.

  32 13 MCP
• 4
  

  Shopify Storefront MCP Server

  Seamless Shopify Storefront API access for AI assistants via Model Context Protocol

  Enables AI assistants to interact with Shopify store data through standardized MCP tools. Offers endpoints for product discovery, inventory management, GraphQL queries, cart operations, and comprehensive customer data manipulation. Designed for easy integration with MCP-compatible AI and automated token handling. Simplifies secure connection to Shopify's Storefront API with minimal configuration.

  5 5 MCP
• 5
  

  MyMCP Server (All-in-One Model Context Protocol)

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 6
  

  OpenAI MCP Server

  Bridge between Claude and OpenAI models using the MCP protocol.

  OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.

  77 19 MCP
• 7
  

  Kibela MCP Server

  MCP server for seamless LLM integration with Kibela knowledge management.

  Kibela MCP Server enables integration of Large Language Models (LLMs) with the Kibela note-sharing platform via the Model Context Protocol. It provides search, retrieval, and management of Kibela notes, users, groups, and folders, exposing these capabilities in a standardized MCP interface. The implementation utilizes Kibela's GraphQL API and supports configuration through environment variables and Docker. Designed for interoperability with tools like Cursor, it streamlines access and manipulation of organizational knowledge by AI systems.

  7 6 MCP
• 8
  

  Notion MCP Server

  Enable LLMs to interact with Notion using the Model Context Protocol.

  Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.

  834 154 MCP
• 9
  

  MCP Linear

  MCP server for AI-driven control of Linear project management.

  MCP Linear is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with the Linear project management platform. It provides a bridge between AI systems and the Linear GraphQL API, allowing the retrieval and management of issues, projects, teams, and more. With MCP Linear, users can create, update, assign, and comment on Linear issues, as well as manage project and team structures directly through AI interfaces. The tool supports seamless integration via Smithery and can be configured for various AI clients like Cursor and Claude Desktop.

  117 23 MCP
• 10
  

  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
• 11
  

  Model Context Protocol Server for Home Assistant

  Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.

  Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.

  468 41 MCP
• 12
  

  Confluence Communication Server MCP Server

  Seamlessly interact with Confluence using standardized MCP tools.

  Confluence Communication Server MCP Server is a TypeScript-based implementation that enables seamless interaction with Confluence through the Model Context Protocol. It provides tools for running CQL queries, retrieving, and updating Confluence page content, thus showcasing and adhering to core MCP concepts. The server is compatible with Claude Desktop and supports installation via Smithery, emphasizing ease of integration and automation for Confluence management tasks.

  13 6 MCP
• 13
  

  any-chat-completions-mcp

  Integrate multiple AI chat providers with OpenAI-compatible MCP server.

  any-chat-completions-mcp is a TypeScript-based server implementing the Model Context Protocol (MCP) to connect popular AI chat providers like OpenAI, Perplexity, Groq, xAI, and PyroPrompts via a unified interface. It relays chat/completion requests to any OpenAI SDK-compatible API, allowing users to easily access multiple AI services through the same standardized protocol. The server can be configured for different providers by setting environment variables and integrates with both Claude Desktop and LibreChat.

  143 23 MCP
• 14
  

  BoldSign MCP Server

  Bridge Large Language Models with BoldSign's e-signature API via the Model Context Protocol.

  BoldSign MCP Server enables interaction between Large Language Models (LLMs) and the BoldSign API using the Model Context Protocol (MCP). It allows LLMs to manage templates and documents for e-signature workflows as autonomous agents connected to external systems. The server can be seamlessly integrated with various MCP-compatible clients such as Cursor, VS Code, Windsurf, and Claude Desktop. Configuration is made easy through standard environment variables and client-specific setup instructions.

  3 6 MCP
• 15
  

  MCP-wolfram-alpha

  An MCP server for querying the Wolfram Alpha API.

  MCP-wolfram-alpha provides an implementation of the Model Context Protocol, enabling integration with the Wolfram Alpha API. It exposes prompts and tools to facilitate AI systems in answering natural language queries by leveraging Wolfram Alpha's computational knowledge engine. The server requires an API key and offers configuration examples for seamless setup and development.

  64 17 MCP
• 16
  

  Calculator MCP Server

  Enables LLMs to perform precise numerical calculations via Model Context Protocol.

  Calculator MCP Server provides a Model Context Protocol-compliant server which allows large language models to use calculator functionality for accurate numerical operations. It offers a single tool called 'calculate' for evaluating mathematical expressions that can be integrated into MCP ecosystems. Installation and configuration options are available via pip or uvx to support multiple client workflows. The server simplifies connecting LLMs to robust, external calculation capabilities for enhanced mathematical reasoning.

  131 21 MCP
• 17
  

  MCP Server Giphy

  MCP-compatible Giphy API server for AI models to search and retrieve GIFs.

  MCP Server Giphy provides an MCP-compliant server interface for accessing GIFs from the Giphy API, specifically tailored for seamless integration with AI models. It supports content filtering, multiple retrieval methods (search, trending, random), and optimized response formats with comprehensive metadata. The server enables AI applications to search, retrieve, and utilize GIF content efficiently, and is easily configurable with tools like Claude Desktop.

  22 8 MCP
• 18
  

  Contentful MCP Server

  Community-driven MCP server for advanced Contentful content management.

  Contentful MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration with Contentful’s Content Management API. It enables full CRUD operations for entries and assets, facilitates comment and space management, and supports bulk asynchronous operations. With features like smart pagination and localization, it aims to optimize LLM context handling and streamline workflows for content-rich applications.

  61 18 MCP
• 19
  

  interactive-mcp

  Enable interactive, local communication between LLMs and users via MCP.

  interactive-mcp implements a Model Context Protocol (MCP) server in Node.js/TypeScript, allowing Large Language Models (LLMs) to interact directly with users on their local machine. It exposes tools for requesting user input, sending notifications, and managing persistent command-line chat sessions, facilitating real-time communication. Designed for integration with clients like Claude Desktop and VS Code, it operates locally to access OS-level notifications and command prompts. The project is suited for interactive workflows where LLMs require user involvement or confirmation.

  313 25 MCP
• 20
  

  HackMD MCP Server

  MCP server connecting LLM clients to the HackMD collaborative note platform.

  HackMD MCP Server implements the Model Context Protocol (MCP) to provide a standardized interface between large language model (LLM) clients and the HackMD collaborative note service. Through HTTP and STDIO transports, it enables creation, retrieval, update, and deletion of notes, along with management of teams, user profiles, and history data. It supports deployment in both local and cloud environments, with secure API token-based authentication and configuration via environment variables or HTTP headers.

  43 7 MCP
• 21
  

  ScreenPilot

  Empower LLMs with full device control through screen automation.

  ScreenPilot provides an MCP server interface to enable large language models to interact with and control graphical user interfaces on a device. It offers a comprehensive toolkit for screen capture, mouse control, keyboard input, scrolling, element detection, and action sequencing. The toolkit is suitable for automation, education, and experimentation, allowing AI agents to perform complex operations on a user’s device.

  50 8 MCP
• 22
  

  wcgw

  Local shell and code agent server with deep AI integration for Model Context Protocol clients.

  wcgw is an MCP server that empowers conversational AI models, such as Claude, with robust shell command execution and code editing capabilities on the user's local machine. It offers advanced tools for syntax-aware file editing, interactive shell command handling, and context management to optimize AI-driven workflows. Key protections are included to safeguard files, prevent accidental overwrites, and streamline large file handling, ensuring smooth automated code development and execution.

  616 55 MCP
• 23
  

  Jira Communication Server MCP Server

  A TypeScript-based MCP server for seamless Jira interactions

  Jira Communication Server MCP Server enables integration with Jira by exposing standardized tools for querying, creating, editing, and managing Jira issues via the Model Context Protocol. It supports a wide range of Jira operations, including executing JQL queries, managing tickets, handling attachments, assigning tickets, and interacting with Jira projects and statuses. The server is designed for use in environments supporting the MCP, such as Claude Desktop, and provides debugging utilities for MCP communication.

  25 7 MCP
• 24
  

  Data Visualization MCP Server

  MCP server for data visualization using Vega-Lite.

  Data Visualization MCP Server enables large language models to visualize data through a standardized interface using Vega-Lite specifications. The server provides tools for saving data tables and generating visualizations as text or PNG images. Integration with platforms like Claude Desktop allows seamless addition of data visualization capabilities to LLM workflows.

  92 25 MCP
• 25
  

  GitHub GraphQL MCP Server

  A Model Context Protocol server for executing arbitrary GraphQL queries on GitHub's API.

  GitHub GraphQL MCP Server is a Model Context Protocol (MCP) server that enables interaction with GitHub's GraphQL API. It allows users to execute any GraphQL queries and mutations against GitHub, supporting variable injection and error handling. The server is designed to integrate with Claude for Desktop, providing tooling for AI environments to access or manipulate GitHub data. Detailed documentation and configuration examples are provided for rapid setup and use.

  9 4 MCP
• 26
  

  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
• 27
  

  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.

  129 31 MCP
• 28
  

  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
• 29
  

  cloudflare/mcp-server-cloudflare

  Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

  Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

  2,919 251 MCP
• 30
  

  @dealx/mcp-server

  MCP server enabling LLMs to search and interact with the DealX platform.

  Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.

  0 2 MCP
• 31
  

  mcp-get

  A command-line tool for discovering, installing, and managing Model Context Protocol servers.

  mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

  497 103 MCP
• 32
  

  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
• 33
  

  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
• 34
  

  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
• 35
  

  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
• 36
  

  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
• 37
  

  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
• 38
  

  @davewind/mysql-mcp-server

  Read-only Model Context Protocol server for secure MySQL access with LLM integration.

  Provides a Model Context Protocol-compliant server offering read-only access to MySQL databases, enabling LLMs to inspect schemas and execute SELECT queries. Enforces strict SQL validation to allow only read-only operations and exposes table schema information in JSON format. Communication occurs over JSON-RPC via stdio to ensure compatibility with LLM systems. Features simple configuration, automatic schema discovery, and robust security measures.

  11 4 MCP
• 39
  

  TeslaMate MCP Server

  Query your TeslaMate data using the Model Context Protocol

  TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

  106 14 MCP
• 40
  

  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
• 41
  

  OpenMCP

  A standard and registry for converting web APIs into MCP servers.

  OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

  252 27 MCP
• 42
  

  Docker Hub MCP Server

  Expose Docker Hub APIs to LLMs via the Model Context Protocol.

  The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.

  83 61 MCP
• 43
  

  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.

  267 50 MCP
• 44
  

  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
• 45
  

  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.

  11 9 MCP
• 46
  

  1mcp-app/agent

  A unified server that aggregates and manages multiple Model Context Protocol servers.

  1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

  96 14 MCP
• 47
  

  mcpmcp-server

  Seamlessly discover, set up, and integrate MCP servers with AI clients.

  mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

  17 6 MCP
• 48
  

  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.

  7 4 MCP
• 49
  

  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
• 50
  

  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