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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.

5,952 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A Model Context Protocol server that fetches and ranks positive news articles from NewsAPI using Cohere LLM sentiment analysis, enabling users to access uplifting news stories through interfaces like Claude Desktop.
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    Apache 2.0
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    • Apple
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    A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with TrueNAS Core systems through the TrueNAS API, supporting user management, storage operations, sharing, and snapshot creation.
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    MIT License
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    • Apple
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    An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.
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    The most powerful open-source Cairo code generator.
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    JavaScript
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    Enables users to manage and navigate nf-core bioinformatics pipeline repositories, allowing list, search, and explore operations on pipeline configurations, workflows, and modules.
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    TypeScript
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    An MCP server that implements a structured workflow for LLM-based coding, guiding development through feature clarification, documentation generation, phased implementation, and progress tracking.
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    8
    TypeScript
    • Apple

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    A Kubernetes command processing service that converts natural language requests into valid kubectl commands, providing command validation and security checks.
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    A utility toolkit that enhances Claude's code interaction capabilities by providing seamless tools for Java code analysis, manipulation, and testing workflows.
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    An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.
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    A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.
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    188
    Python
    Apache 2.0