Databricks Genie MCP Server alternatives

1

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

2

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.

319 54 MCP

3

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

4

Dune Analytics MCP Server

Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

31 8 MCP

5

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

6

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

7

@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

8

MCP ChatGPT Server

Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.

MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.

14 8 MCP

9

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

10

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

11

Ragie Model Context Protocol Server

Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

81 18 MCP

12

DexPaprika MCP Server

On-demand DEX and cryptocurrency data server for AI assistants like Claude.

DexPaprika MCP Server provides a Model Context Protocol (MCP) interface for accessing real-time cryptocurrency and decentralized exchange (DEX) data. It enables AI assistants, particularly Claude, to query live token, pool, and DEX information without requiring API keys or prior configuration. The server integrates easily with Claude Desktop and supports batched token price queries, network-specific analytics, and technical analysis tools. Installation is streamlined via Smithery or npm, and it is designed to deliver fast, scalable, and relevant market data to AI systems.

30 12 MCP

13

mcp-server-atlassian-confluence

Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

39 20 MCP

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MCP GitLab Jira Server

MCP server for seamless GitLab and Jira integration

MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

6 4 MCP

15

MCP Server for ZenML

Expose ZenML data and pipeline operations via the Model Context Protocol.

Implements a Model Context Protocol (MCP) server for interfacing with the ZenML API, enabling standardized access to ZenML resources for AI applications. Provides tools for reading data about users, stacks, pipelines, runs, and artifacts, as well as triggering new pipeline runs if templates are available. Includes robust testing, automated quality checks, and supports secure connection from compatible MCP clients. Designed for easy integration with ZenML instances, supporting both local and remote ZenML deployments.

32 10 MCP

16

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

17

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

18

CapsuleCRM MCP Server

Natural language access and management for CapsuleCRM via MCP.

CapsuleCRM MCP Server connects Claude AI directly to CapsuleCRM, enabling users to interact with their CRM using natural language. It allows for powerful searching, filtering, insights, and automation of tasks within the CRM. The platform provides capabilities such as customer management, sales pipeline tracking, and task management, all securely integrated via the CapsuleCRM API. This tool enhances CRM workflows by translating conversational commands into actionable CRM operations through the Model Context Protocol.

0 2 MCP

19

Postmancer

A standalone MCP server for API testing and management via AI assistants.

Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

28 4 MCP

20

Modbus MCP Server

Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

18 7 MCP

21

ROS MCP

Natural language interface for controlling ROS robots using the Model Context Protocol

ROS MCP is a server that implements the Model Context Protocol (MCP) to enable natural language control of robots in ROS environments. It facilitates communication with ROS topics, services, and actions, supporting any ROS message type. The system integrates with GUI tools through a socket server and can be used with Claude Desktop for interactive robot management. Key functionalities include topic management, node control, service interaction, and process management for ROS2-powered robots.

26 3 MCP

22

docker-mcp

A powerful MCP server for seamless Docker container and compose stack management.

docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

419 57 MCP

23

QGISMCP

Integrate QGIS with Claude AI via Model Context Protocol

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.

691 99 MCP

24

PMCP

Golang Model Context Protocol server for natural language Prometheus queries

PMCP implements a Model Context Protocol (MCP) server in Go, enabling natural language access and manipulation of Prometheus metrics. It maintains full consistency with the Prometheus HTTP API and supports a robust, type-safe interface for seamless integration with MCP-compatible clients. The server offers complete Prometheus API coverage and supports multiple transport methods, including HTTP and Server-Sent Events. Its modular architecture is designed for performance, extensibility, and effective error handling.

3 1 MCP

25

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

26

Dexscreener MCP server

MCP-compliant server for accessing the Dexscreener API.

Dexscreener MCP server provides a basic Model Context Protocol (MCP) interface to the Dexscreener API, allowing integration with tools like Claude Desktop. It supports both STDIO and server-sent events (SSE) modes and facilitates contextual API access based on the latest Dexscreener documentation. Configuration is straightforward for users on both MacOS and Windows, and the server can be tested using Inspector or other MCP-compatible clients.

16 4 MCP

27

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

28

Netwrix Access Analyzer MCP Server

An MCP server integrating enterprise access analysis tools with Claude Desktop.

Netwrix Access Analyzer MCP Server provides a Model Context Protocol (MCP) server designed for integration with Claude Desktop. It enables secure and dynamic access to Active Directory, SQL Server databases, and file system data for auditing and analysis. The server offers a range of tools for effective group membership discovery, permission analysis, sensitive data detection, and more. It streamlines enterprise security assessments by standardizing context-sharing for AI-driven solutions.

1 1 MCP

29

QA Sphere MCP Server

Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

15 6 MCP

30

Google Ads MCP Server

Seamlessly connect Google Ads API to MCP clients with automatic authentication and querying.

Google Ads MCP Server is a FastMCP-powered Model Context Protocol server designed to integrate Google Ads API with MCP clients such as Claude Desktop. It provides automatic OAuth 2.0 authentication, smart token management, GAQL query execution, and keyword research tools. The server enables users to manage accounts, run advanced queries, and generate keyword ideas while maintaining secure local token storage. Optimized for one-click setup, it offers robust features for advertisers and developers looking to leverage Google Ads data with MCP-compatible tools.

76 26 MCP

31

Starknet MCP Server

AI-ready MCP server for interacting with the Starknet blockchain

Starknet MCP Server provides a comprehensive Model Context Protocol-compliant interface for interacting with the Starknet blockchain. It enables AI agents and assistants to query blockchain data, manage assets, interact with smart contracts, and resolve Starknet identities through a consistent set of tools and resources. The server supports both read and write operations, works with both native tokens and ERC20s, integrates StarknetID resolution, and supports both stdio and HTTP transport modes. Designed for seamless use by AI assistants such as Claude and GPT, it provides robust blockchain access with security considerations in mind.

5 4 MCP

32

GeoServer MCP Server

Connect LLMs to GeoServer for geospatial data management and AI-driven queries.

GeoServer MCP Server implements the Model Context Protocol, enabling seamless integration between Large Language Models (LLMs) and the GeoServer REST API. It allows AI assistants to interact with, query, and manipulate geospatial data and services through standardized interfaces. The server supports management of workspaces, layers, and spatial queries, as well as rendering geospatial visualizations. Installation is supported via Docker, pip, and integration tools like Smithery, with compatibility for clients such as Claude Desktop and Cursor.

43 9 MCP

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Vercel AI SDK Documentation MCP Agent

AI-powered documentation agent for Vercel AI SDK with Model Context Protocol support.

The Vercel AI SDK Documentation MCP Agent is a server implementing the Model Context Protocol to enable AI-powered search and conversational querying of the Vercel AI SDK documentation. It features natural language understanding, semantic search using FAISS, and session-based context management for in-depth assistance. Integration with popular MCP clients like Claude Desktop and Cursor ensures seamless use in developer workflows. Automated documentation indexing and a Gemini-powered agent enhance accuracy and contextuality of responses.

41 8 MCP

34

Pydantic Logfire MCP Server

Enables LLMs to access and analyze application telemetry data through standardized MCP tools.

Pydantic Logfire MCP Server provides an MCP-compatible interface to access, analyze, and query telemetry data sent to Pydantic Logfire. It allows LLMs to retrieve distributed traces, perform SQL queries on telemetry databases, and generate links for trace inspection. The server can be integrated with well-known MCP clients and supports configuration for secure access with read tokens.

124 21 MCP

35

Langfuse Prompt Management MCP Server

Bridge Langfuse prompts into the Model Context Protocol ecosystem for seamless management and discovery.

Langfuse Prompt Management MCP Server enables users to access and manage prompts stored in Langfuse via standardized endpoints defined by the Model Context Protocol (MCP). It allows prompt discovery, retrieval, and compilation, translating Langfuse's prompt formats into MCP-compliant objects. The server supports cursor-based pagination, exposes a range of prompt-related operations, and includes compatibility features for MCP clients without prompt support. Integration instructions are provided for popular platforms like Claude Desktop and Cursor.

146 37 MCP

36

mcp-server-atlassian-jira

Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

39 16 MCP

37

Crypto Trending MCP Server

Real-time trending cryptocurrency data via Model Context Protocol tools.

Crypto Trending MCP Server tracks and monitors the latest trending tokens on CoinGecko, providing real-time insights into the most popular cryptocurrencies. It exposes MCP tools and prompts, such as a Markdown generator for trending token data and a parser prompt for extracting and analyzing the results with AI models. The solution is built for seamless integration with clients like Claude Desktop and allows natural language querying of current crypto trends. Its lightweight and extensible design supports easy deployment and extension.

6 5 MCP

38

Fantasy Premier League MCP Server

Enables rich access to Fantasy Premier League data via the Model Context Protocol.

Fantasy Premier League MCP Server is a Model Context Protocol (MCP) server that provides streamlined access to Fantasy Premier League (FPL) data, including player statistics, team information, and gameweek details. It allows users to interact with and compare FPL player data, search teams and players, and integrate seamlessly with Claude Desktop and other MCP-compatible clients. Designed for both quick CLI usage and deep AI integration, it ensures comprehensive coverage for FPL enthusiasts and AI-powered desktop tools.

65 19 MCP

39

mcp-server-opendal

Model Context Protocol server for accessing diverse storage services via Apache OpenDAL.

mcp-server-opendal is an implementation of the Model Context Protocol (MCP) that offers seamless access to a variety of storage services through Apache OpenDAL. It enables listing and reading files from services like S3, Azure Blob Storage, and Google Cloud Storage, while supporting environment variable-based configuration. The tool integrates with platforms such as Claude Desktop and can be easily configured using environment variables or a .env file.

33 7 MCP

40

LLDB-MCP

AI-assisted debugging with LLDB via Model Context Protocol integration

LLDB-MCP enables integration of the LLDB debugger with Claude's Model Context Protocol, allowing for direct control and interaction with LLDB debugging sessions through AI. The tool offers a suite of commands for managing sessions, examining program state, and controlling execution. It facilitates natural language interaction with LLDB, streamlining tasks such as loading executables, setting breakpoints, and analyzing stack traces. Designed for seamless AI-assisted debugging workflows, LLDB-MCP enhances productivity by bridging advanced debugging capabilities with AI-driven interfaces.

63 7 MCP

41

Coincap MCP

Query live cryptocurrency data through Coincap's public API for desktop AI tools.

Coincap MCP provides seamless access to cryptocurrency market data from Coincap's public API without requiring API keys or registration. Designed to integrate with Claude Desktop using the Model Context Protocol (MCP), it enables users to query crypto asset prices, market capitalization, and a list of available assets. Installation and configuration are streamlined through Smithery or direct setup. The tool includes sample prompts and exposes specialized tools for crypto price lookup and asset listing.

89 29 MCP

42

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

43

mcp-hfspace

Seamlessly connect and enable Hugging Face Spaces as Model Context Protocol (MCP) services.

mcp-hfspace allows users to connect Hugging Face Spaces with minimal setup, enabling these spaces as MCP-compatible endpoints for tools like Claude Desktop. It facilitates automatic configuration, efficient file handling, support for private spaces, and flexible working directory management. The project supports Image Generation, Vision, and Text-to-Speech models, operating in Claude Desktop mode for streamlined file and image interaction.

366 58 MCP

44

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

45

JupyterMCP

Enable direct Claude AI integration with Jupyter Notebook via the Model Context Protocol.

JupyterMCP integrates Jupyter Notebook (version 6.x) with Claude AI using the Model Context Protocol, enabling real-time interaction between AI models and live notebooks. It facilitates two-way communication, allowing Claude AI to execute code, manipulate cells, and retrieve outputs directly within the notebook. The system comprises a WebSocket server, client-side JavaScript, and an MCP server for seamless protocol implementation. Designed for developers and data scientists, it brings advanced AI assistance into interactive notebook environments.

111 22 MCP

46

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

47

Unitree Go2 MCP Server

Control Unitree Go2 robot using natural language via Model Context Protocol.

Unitree Go2 MCP Server is a server implementation based on the Model Context Protocol (MCP) that enables natural language command of the Unitree Go2 robot, interpreted by a large language model and translated into ROS2 instructions. This tool bridges AI-driven intent parsing with robot control through well-defined MCP functions. It includes configuration instructions for ROS2 environments, flexible integration with Claude Desktop and other AI systems, and direct interaction with the robot using contextual commands.

55 10 MCP

48

NearbySearch MCP Server

IP-based nearby search via Google Places, packaged as an MCP tool.

NearbySearch MCP Server enables users to search for nearby places using their IP-based location, leveraging the Google Places API. Designed to run as an MCP server, it offers an accessible interface for location-aware searches with customizable radius and filter options. The tool supports integration with clients such as Claude Desktop and features a simple setup process using Python 3.10+. Ideal for use cases where model context needs to be enriched with location-based search results.

21 7 MCP

49

Facebook/Meta Ads MCP Server

MCP server interface for secure, programmatic Meta Ads data and management.

Enables seamless integration between Model Context Protocol (MCP) clients and Meta (Facebook) Ads API, providing tools for programmatic data access and campaign management. Simplifies local installation with automated environment setup and optional secure authentication, eliminating the need for manual token retrieval. Designed for use with popular MCP clients such as Claude Desktop, offering plug-and-play connectivity. Data and tokens remain local for privacy and security.

183 47 MCP

50

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

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