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Copy file name to clipboardExpand all lines: README.md
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The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
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Typically, each MCP server is implemented with an MCP SDK:
> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
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- <imgheight="12"width="12"src="https://linear.app/favicon.ico"alt="Linear Logo" /> **[Linear](https://linear.app/docs/mcp)** - Search, create, and update Linear issues, projects, and comments.
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- <imgheight="12"width="12"src="https://lingo.dev/favicon.ico"alt="Lingo.dev Logo" /> **[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
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- <imgheight="12"width="12"src="https://ligo.ertiqah.com/favicon.avif"alt="LiGo Logo" /> **[LinkedIn MCP Runner](https://github.com/ertiqah/linkedin-mcp-runner)** - Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with [LiGo](https://ligo.ertiqah.com/).
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- <imgsrc="https://gornschool.com/favicon.ico"alt="Lisply"width="12"height="12"> **[Lisply](https://github.com/gornskew/lisply-mcp)** - Flexible frontend for compliant Lisp-speaking backends.
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- <imgsrc="https://gornschool.com/gorn.png"alt="Lisply"width="12"height="12"> **[Lisply](https://github.com/gornskew/lisply-mcp)** - Flexible frontend for compliant Lisp-speaking backends.
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- <imgheight="12"width="12"src="https://litmus.io/favicon.ico"alt="Litmus.io Logo" /> **[Litmus.io](https://github.com/litmusautomation/litmus-mcp-server)** - Official MCP server for configuring [Litmus](https://litmus.io) Edge for Industrial Data Collection, Edge Analytics & Industrial AI.
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- <imgheight="12"width="12"src="https://liveblocks.io/favicon.ico"alt="Liveblocks Logo" /> **[Liveblocks](https://github.com/liveblocks/liveblocks-mcp-server)** - Ready‑made features for AI & human collaboration—use this to develop your [Liveblocks](https://liveblocks.io) app quicker.
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- <imgheight="12"width="12"src="https://logfire.pydantic.dev/favicon.ico"alt="Logfire Logo" /> **[Logfire](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire.
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- <imgheight="14"width="14"src="https://raw.githubusercontent.com/rust-mcp-stack/mcp-discovery/refs/heads/main/docs/_media/mcp-discovery-logo.png"alt="mcp-discovery logo" /> **[MCP Discovery](https://github.com/rust-mcp-stack/mcp-discovery)** - A lightweight CLI tool built in Rust for discovering MCP server capabilities.
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- <imgheight="12"width="12"src="https://googleapis.github.io/genai-toolbox/favicons/favicon.ico"alt="MCP Toolbox for Databases Logo" /> **[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, MySQL, Neo4j, Postgres, Spanner, and more.
- <imgheight="12"width="12"src="https://memgraph.com/favicon.png"alt="Memgraph Logo" /> **[Memgraph](https://github.com/memgraph/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
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- <imgheight="12"width="12"src="https://memgraph.com/favicon.png"alt="Memgraph Logo" /> **[Memgraph](https://github.com/memgraph/ai-toolkit/tree/main/integrations/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
-**[Actor Critic Thinking](https://github.com/aquarius-wing/actor-critic-thinking-mcp)** - Actor-critic thinking for performance evaluation
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-**[AgentBay](https://github.com/Michael98671/agentbay)** - An MCP server for providing serverless cloud infrastructure for AI agents.
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-**[AgentMode](https://www.agentmode.app) - Connect to dozens of databases, data warehouses, Github & more, from a single MCP server. Run the Docker image locally, in the cloud, or on-premise.
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-**[AgentMode](https://www.agentmode.app)** - Connect to dozens of databases, data warehouses, Github & more, from a single MCP server. Run the Docker image locally, in the cloud, or on-premise.
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-**[AI Agent Marketplace Index](https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp)** - MCP server to search more than 5000+ AI agents and tools of various categories from [AI Agent Marketplace Index](http://www.deepnlp.org/store/ai-agent) and monitor traffic of AI Agents.
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-**[AI Tasks](https://github.com/jbrinkman/valkey-ai-tasks)** - Let the AI manage complex plans with integrated task management and tracking tools. Supports STDIO, SSE and Streamable HTTP transports.
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-**[ai-Bible](https://github.com/AdbC99/ai-bible)** - Search the bible reliably and repeatably [ai-Bible Labs](https://ai-bible.com)
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***[mcp_sse (Elixir)](https://github.com/kEND/mcp_sse)** An SSE implementation in Elixir for rapidly creating MCP servers.
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***[Next.js MCP Server Template](https://github.com/vercel-labs/mcp-for-next.js)** (Typescript) - A starter Next.js project that uses the MCP Adapter to allow MCP clients to connect and access resources.
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***[Quarkus MCP Server SDK](https://github.com/quarkiverse/quarkus-mcp-server)** (Java)
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-**[R mcptools](https://github.com/posit-dev/mcptools)** - An R SDK for creating R-based MCP servers and retrieving functionality from third-party MCP servers as R functions.
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***[SAP ABAP MCP Server SDK](https://github.com/abap-ai/mcp)** - Build SAP ABAP based MCP servers. ABAP 7.52 based with 7.02 downport; runs on R/3 & S/4HANA on-premises, currently not cloud-ready.
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***[Spring AI MCP Server](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-server-boot-starter-docs.html)** - Provides auto-configuration for setting up an MCP server in Spring Boot applications.
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***[Template MCP Server](https://github.com/mcpdotdirect/template-mcp-server)** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
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Additional resources on MCP.
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-**[A2A-MCP Java Bridge](https://github.com/vishalmysore/a2ajava)** - A2AJava brings powerful A2A-MCP integration directly into your Java applications. It enables developers to annotate standard Java methods and instantly expose them as MCP Server, A2A-discoverable actions — with no boilerplate or service registration overhead.
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-**[AiMCP](https://www.aimcp.info)** - A collection of MCP clients&servers to find the right mcp tools by **[Hekmon](https://github.com/hekmon8)**
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-**[Awesome Crypto MCP Servers by badkk](https://github.com/badkk/awesome-crypto-mcp-servers)** - A curated list of MCP servers by **[Luke Fan](https://github.com/badkk)**
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-**[Awesome MCP Servers by appcypher](https://github.com/appcypher/awesome-mcp-servers)** - A curated list of MCP servers by **[Stephen Akinyemi](https://github.com/appcypher)**
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- Move files/directories
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- Search files
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- Get file metadata
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- Dynamic directory access control via [Roots](https://modelcontextprotocol.io/docs/concepts/roots)
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- Dynamic directory access control via [Roots](https://modelcontextprotocol.io/docs/learn/client-concepts#roots)
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## Directory Access Control
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The server uses a flexible directory access control system. Directories can be specified via command-line arguments or dynamically via [Roots](https://modelcontextprotocol.io/docs/concepts/roots).
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The server uses a flexible directory access control system. Directories can be specified via command-line arguments or dynamically via [Roots](https://modelcontextprotocol.io/docs/learn/client-concepts#roots).
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### Method 1: Command-line Arguments
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Specify Allowed directories when starting the server:
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