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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.

11,740 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Enables advanced management of Kubernetes clusters through natural language interactions. Supports querying, managing, and monitoring pods, deployments, nodes, and logs across multiple contexts and namespaces.
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    MIT License
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    A Model Context Protocol (MCP) server that provides safe, read-only access to Kubernetes resources for debugging and inspection. Built with security in mind, it offers comprehensive cluster visibility without modification capabilities.
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    Enables comprehensive Kubernetes cluster management through kubectl operations and Helm chart management. Supports resource operations, logging, scaling, rollouts, and diagnostics with multiple transport modes and security features.
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    TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.
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    A powerful and flexible Kubernetes MCP server implementation with support for OpenShift.
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    Apache 2.0
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    Provides real-time access to Pyth Network's decentralized oracle price feeds across 1,930+ assets and 107+ blockchains, enabling AI agents to fetch current prices, historical data, and TWAP calculations for crypto, equity, FX, metal, and rates markets.
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    Test
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    A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.
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    api-test-mcp
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    Provides Kubernetes cluster management capabilities through natural language via MCP protocol over HTTP/SSE. Supports Pod, Service, Deployment operations, log retrieval, and resource management with JWT authentication and RBAC permissions.
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    A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.
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    Enables AI assistants to interact with RGB assets, Lightning Network operations, and Bitcoin transactions through RGB Lightning Node APIs. Supports asset management, invoice creation/payment, channel management, on-chain transactions, and asset swaps.
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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 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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    Context engineering: Make your agents aware of how they affect 🧪 test coverage🧪 during a coding session
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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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    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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    A Model Context Protocol server that converts Markdown content to HTML format.
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    A sample MCP server that fetches random inspirational quotes, programming jokes, and advice from public APIs. Provides three simple tools for testing and demonstration purposes.
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    Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.
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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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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0