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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,443 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.
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    A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.
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    A lightweight MCP test server for verifying client connectivity, providing tools, resources, and prompts for integration.
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    A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
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    A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.
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    A simple server for testing Model Context Protocol (MCP) that serves CSV and image resources, allowing developers to test MCP implementations with sample data via SSE transport.
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    Enables automation of browser tasks using Playwright by interacting via Claude Desktop for executing user-defined prompts and operations.
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    A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
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    api-test-mcp
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    A sophisticated server that enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.
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    Processes test scenarios from user prompts to generate complete WDIO test suites with intelligent file management that analyzes existing files to determine whether to update them or create new ones.
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    Enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows across multiple sessions. Similar to how Playwright works for web browsers but for command-line interfaces.
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    A Model Context Protocol server that enables LLMs to interact with user and task data through JSON-RPC, offering tools like user management, task creation, and search functionality.
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    Facilitates unified execution and result parsing for various testing frameworks, including Bats, Pytest, Flutter, Jest, and Go, through a Model Context Protocol interface.
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    An MCP-based messaging system that allows AI systems to interact with various messaging platforms through standardized tools for sending text, images, documents, buttons, and alerts.
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    A Model Context Protocol server that wraps AutoIt functionality, enabling LLMs to automate Windows desktop tasks including mouse/keyboard operations, window management, and UI control interactions.
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    An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    A comprehensive toolkit for Ethereum blockchain analysis within Claude AI, enabling contract auditing, wallet analysis, profitability tracking, and on-chain data retrieval.
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    Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
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    A Model Context Protocol (MCP) server that provides TypeScript development tools for automated refactoring and code analysis.
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    A Python-based MCP server that provides coordinate conversion between latitude/longitude and UTM/TWD97, along with various civil engineering calculation tools for LLM and AI application integration.
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