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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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    Enables interaction with Appwrite's backend services through natural language. Provides tools to manage databases, users, functions, teams, storage, and other Appwrite project resources via API integration.
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    MIT License
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    A Model Context Protocol server that allows AI assistants to interact with Appwrite's API, providing tools to manage databases, users, functions, teams, and other resources within Appwrite projects.
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    Enables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.
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    Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.
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    An MCP server that provides access to project files and their contents, allowing users to retrieve file data from specified project directories with error handling and configuration options.
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    A persistent memory layer for Claude Code that maintains project information, technology stack, tasks, decisions, and session history between coding sessions, eliminating the need to re-explain project context.
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    The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.
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    A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.
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    Facilitates AI session handoffs and next steps tracking through project-based organization, supporting task prioritization and seamless workflow management.
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    Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.
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    Implements a Model Context Protocol server for intelligent end-to-end requirement management and development automation, integrating with Feishu project systems.
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    A comprehensive tutorial project that teaches Model Context Protocol (MCP) development from beginner to advanced levels, covering both server-side and client-side development.
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    A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
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    Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.
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    A Model Context Protocol (MCP) server that enables AI applications to access and analyze local code repositories without manual uploads, providing file listing, content reading, code searching, and project structure analysis capabilities.
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    Provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints. This server integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management.
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    An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.
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    An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.
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    A Model Context Protocol server that enables AI assistants to interact with Feishu project management systems, allowing retrieval of project views and work items.
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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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    MCP protocol server for managing multi-project Markdown documents, supporting project isolation and LLM tool integration.
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    Enables users to interact with GitHub's Projects v2 API through natural language for Agile project management, supporting repository details, issue tracking, and project board management operations.
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    Generates project specifications and file structures using Claude AI through MCP integration. Enables users to describe project ideas and automatically create corresponding documentation and project files.
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    A comprehensive server that provides AI-powered GitHub project management with task generation from requirements and complete traceability from business requirements to implementation.
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    This MCP ensures consistent naming conventions for variables, database structures, and file organization by validating against project standards and providing smart naming suggestions.
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    A demonstration project that implements a Model Context Protocol (MCP) server with example tools for calendar, task management, and weather functionality in a Docker container.
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    A comprehensive learning project providing hands-on experience with Model Context Protocol (MCP) server development, featuring calculator and text utility tools for integration with Claude Desktop.
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    A TypeScript-based REST API that integrates project and task management with MCP (Model Context Protocol), allowing users to manage projects and tasks through natural language interactions.
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    Enables users to manage projects and retrieve random wallpapers through a TypeScript-based MCP server. Supports project queries, creation, and Bing wallpaper retrieval with Spring Boot-style architecture.
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    Easily query and mutate Postgres data using MCP. This is an open source project.
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    Apache 2.0