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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 -

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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
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    A workshop repository teaching advanced Model Context Protocol features for building AI-connected apps with deeper integration capabilities.
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    A server that enables AI models to interact with Confluence Data Center through REST API, providing operations like searching, reading, creating, updating, and deleting pages.
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    A Model Context Protocol server that enables AI assistants to interact with Confluence content, supporting operations like retrieving, searching, creating, and updating pages and spaces.
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    Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.
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    Enables AI assistants to interact with Confluence by converting Markdown documents to professionally styled Confluence pages with Mermaid diagram support.
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    A Model Context Protocol server that provides secure access to Atlassian Confluence, allowing users to search, create, update, and manage Confluence pages and spaces through natural language commands.
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    A server application that integrates with Atlassian Confluence API, providing custom endpoints for MCP functionality to interact with Confluence content.
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    A server that integrates Confluence with Claude Desktop and other AI assistants, enabling natural language interactions with your Confluence documentation.
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    A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
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    A server that allows Cursor AI to access and search through Confluence documentation as a context source.
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    A universal, production-ready MCP server that provides AI assistants like Claude with direct access to Confluence Cloud functionality for creating, reading, updating, and managing content through multiple transport protocols.
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    Enables AI assistants to interact with Confluence Cloud for managing spaces, pages, and content via the Model Context Protocol (MCP).
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    A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.
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    A Model Context Protocol server that enables AI assistants like Claude to access and search Atlassian Confluence content, allowing integration with your organization's knowledge base.
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    A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
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    A Model Context Protocol server for accessing Confluence API using Personal Access Tokens, enabling users to retrieve space lists, view pages, create new pages, and update existing content.
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.
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    Enables searching for AI agents by keywords or categories, allowing users to discover tools like coding agents, GUI agents, or industry-specific assistants across marketplaces.
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    Enables VSCode/Cursor to integrate with Confluence Wiki, allowing AI models to access and process wiki content by fetching pages and converting them to Markdown format.
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    This MCP wraps Bitrefill public API to allow agents to search for products and shop using cryptocurrencies like Bitcoin, Ethereum, Solana, and many more.
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    Integrates Claude Desktop with Azure AI Search, allowing users to query search indexes using keyword, vector, or hybrid search methods.
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    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
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    Apache 2.0
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    Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
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    Search web using baidu with AI.
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    Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.
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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 server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.
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