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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.

9,481 servers. Last updated -

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Matching MCP servers:

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    TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.
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    Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
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    A simple Model Context Protocol server implemented in TypeScript that enables communication with client applications (like Cursor) over standard input/output and includes a basic calculator tool as an example.
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    A starter template for building remote Model Context Protocol servers using TypeScript, providing modern tooling and best practices while leveraging the MCP TypeScript SDK.
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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 Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
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    MIT License

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    A specialized server that provides advanced TypeScript code manipulation and analysis capabilities, enabling refactoring, navigation, diagnostics, and module analysis through Claude.
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    A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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    Provides AI assistants with instant access to TypeScript type definitions from your project dependencies. Enables generation of complete, type-safe mocks and test data by automatically discovering and exposing interface structures from node_modules.
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    A demonstration MCP server built in TypeScript that shows how to implement stdio-based communication for integration with MCP clients. Serves as a template for building custom MCP servers with strong typing and maintainability.
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    A TypeScript template for creating Model Context Protocol servers that enable AI models to utilize external tools, including example operations and simple number addition functionality.
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    A Model Context Protocol server that provides web content fetching and conversion capabilities.
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    This server provides a tool to generate unified diffs between two text strings, facilitating text comparison and analysis.
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    Apache 2.0
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    Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.
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    A bridge between MCP Host applications and mem0 cloud service, specialized for project management with capabilities to store, retrieve, and search project information within a structured format.
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    Enables intelligent image analysis using GLM-4.5V model, specializing in extracting and analyzing code from screenshots with support for file paths and clipboard input.
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    A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.
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    Apache 2.0
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    A starter template for creating Model Context Protocol servers using TypeScript, providing basic setup and sample tool implementation for developers to build their own MCP servers.
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    A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.
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    An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.
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    A Model Context Protocol server that helps AI code editors locate TypeScript symbol definitions in codebases, particularly useful for finding original definitions of imported symbols and classes.
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    A toolkit for building Model Context Protocol servers and clients that provide standardized context for LLMs, allowing applications to expose resources, tools, and prompts through stdio or Streamable HTTP transports.
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    A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.
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    A Model Context Protocol (MCP) server that provides intelligent tools for optimizing and scoring LLM prompts using deterministic heuristics.
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    A template repository for building Model Context Protocol (MCP) servers with TypeScript, featuring full TypeScript support, testing setup, CI/CD pipelines, and modular architecture for easy extension.
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    A clean, reusable TypeScript boilerplate for building Model Context Protocol servers with support for custom tools and resources.
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    A TypeScript template for building Model Context Protocol servers that implements basic note-taking CRUD operations with JSON responses.
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    Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.
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    A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities.
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    A comprehensive template for building MCP servers with TypeScript, Fastify, and Docker support. Includes tools for calculations and weather data, resources for server information, and prompts for greetings with full development tooling.
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    Provides pre-defined prompt templates for AI assistants to generate comprehensive plans for TypeScript projects, API architectures, and GitHub workflows.
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