{"id":86065,"url":"https://github.com/aimcp/awesome-mcp","name":"awesome-mcp","description":"A collection about MCP","projects_count":87,"last_synced_at":"2026-08-16T05:00:20.181Z","repository":{"id":278397654,"uuid":"935416167","full_name":"aimcp/awesome-mcp","owner":"aimcp","description":"A collection about MCP","archived":false,"fork":false,"pushed_at":"2025-04-10T12:32:42.000Z","size":197,"stargazers_count":24,"open_issues_count":25,"forks_count":19,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-07-27T18:04:25.195Z","etag":null,"topics":["ai","awesome","mcp","mcp-server"],"latest_commit_sha":null,"homepage":"https://aimcp.netlify.app/mcp/servers","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aimcp.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-02-19T12:09:54.000Z","updated_at":"2026-06-01T19:13:14.000Z","dependencies_parsed_at":"2025-03-26T08:01:54.593Z","dependency_job_id":"c06e2aa2-8c1c-4209-a707-af5790778a17","html_url":"https://github.com/aimcp/awesome-mcp","commit_stats":null,"previous_names":["aimcp/awesome-mcp"],"tags_count":0,"template":false,"template_full_name":"litingyes/typescript-starter","purl":"pkg:github/aimcp/awesome-mcp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aimcp%2Fawesome-mcp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aimcp%2Fawesome-mcp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aimcp%2Fawesome-mcp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aimcp%2Fawesome-mcp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aimcp","download_url":"https://codeload.github.com/aimcp/awesome-mcp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aimcp%2Fawesome-mcp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":36703569,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-06T04:43:03.162Z","status":"online","status_checked_at":"2026-08-16T02:00:06.462Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2025-03-20T01:55:19.006Z","updated_at":"2026-08-16T05:00:20.181Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Mcp Servers"],"sub_categories":["integration","storage","notification","analysis","browser","search","location \u0026 time","code","monitor","images"],"readme":"# awesome-mcp\n\n\u003e [!TIP]\n\u003e Come and submit your favorite MCP Servers, [click it](https://github.com/aimcp/awesome-mcp/issues/new?template=add-mcp-server.md).\n\n## Mcp Servers\n\n### official\n\n- [AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.\n- [Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.\n- [EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Image generation server using EverArt's API.\n- [Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.\n- [Filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Node.js server implementing Model Context Protocol (MCP) for filesystem operations.\n- [Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e This MCP server integrates with Google Drive to allow listing, reading, and searching over files.\n- [Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.\n- [GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.\n- [GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the GitLab API, enabling project management, file operations, and more.\n- [Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the Google Maps API.\n- [Knowledge Graph Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A basic implementation of persistent memory using a local knowledge graph. This lets LLM remember information about the user across chats.\n- [PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.\n- [Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.\n- [Redis](https://github.com/modelcontextprotocol/servers/tree/main/src/redis) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.\n- [Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.\n- [Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.\n- [Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server for the Slack API and interact with Slack workspaces.\n- [SQLite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.\n- [Time](https://github.com/modelcontextprotocol/servers/tree/main/src/time) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.\n\n### ai\n\n- [Knowledge Graph Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A basic implementation of persistent memory using a local knowledge graph. This lets LLM remember information about the user across chats.\n- [Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.\n\n### analysis\n\n- [Knowledge Graph Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A basic implementation of persistent memory using a local knowledge graph. This lets LLM remember information about the user across chats.\n- [Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.\n- [Spotify](https://github.com/varunneal/spotify-mcp) - \u003cimg src=\"./images/languages/python.svg\" \u003e Control Spotify playback and manage playlists\n\n### browser\n\n- [Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.\n- [Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.\n- [Search1API](https://github.com/fatwang2/search1api-mcp) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Unified API for search, crawling, and sitemaps by Search1 API\n- [Playwright MCP](https://github.com/microsoft/playwright-mcp) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.\n\n### code\n\n- [Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.\n- [GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.\n- [GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the GitLab API, enabling project management, file operations, and more.\n- [E2B (JS)](https://github.com/e2b-dev/mcp-server/tree/main/packages/js) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Execute code in secure cloud sandboxes by E2B\n- [E2B (Python)](https://github.com/e2b-dev/mcp-server/tree/main/packages/python) - \u003cimg src=\"./images/languages/python.svg\" \u003e Execute code in secure cloud sandboxes by E2B\n\n### databases\n\n- [PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.\n- [Redis](https://github.com/modelcontextprotocol/servers/tree/main/src/redis) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.\n- [SQLite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.\n\n### images\n\n- [EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Image generation server using EverArt's API.\n\n### integration\n\n- [AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.\n- [Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e This MCP server integrates with Google Drive to allow listing, reading, and searching over files.\n- [GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.\n- [GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the GitLab API, enabling project management, file operations, and more.\n- [Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the Google Maps API.\n- [Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.\n- [Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server for the Slack API and interact with Slack workspaces.\n- [Axiom](https://github.com/axiomhq/mcp-server-axiom) - \u003cimg src=\"./images/languages/python.svg\" \u003e Query and analyze logs, traces, and event data using natural language using Axiom Processing Language (APL).\n- [Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Deploy and manage resources on the Cloudflare developer platform\n- [E2B (JS)](https://github.com/e2b-dev/mcp-server/tree/main/packages/js) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Execute code in secure cloud sandboxes by E2B\n- [E2B (Python)](https://github.com/e2b-dev/mcp-server/tree/main/packages/python) - \u003cimg src=\"./images/languages/python.svg\" \u003e Execute code in secure cloud sandboxes by E2B\n- [Neon](https://github.com/neondatabase/mcp-server-neon) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Interact with the Neon serverless Postgres platform\n- [Qdrant](https://github.com/qdrant/mcp-server-qdrant) - \u003cimg src=\"./images/languages/python.svg\" \u003e Implement semantic memory using the Qdrant vector search engine\n- [Search1API](https://github.com/fatwang2/search1api-mcp) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Unified API for search, crawling, and sitemaps by Search1 API\n- [Stripe Agent Toolkit (Python)](https://github.com/stripe/agent-toolkit/tree/main/python) - \u003cimg src=\"./images/languages/python.svg\" \u003e Interact with the Stripe API\n- [Stripe Agent Toolkit (TS)](https://github.com/stripe/agent-toolkit/tree/main/typescript) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Interact with the Stripe API\n- [Docker](https://github.com/ckreiling/mcp-server-docker) - \u003cimg src=\"./images/languages/python.svg\" \u003e Manage containers, images, volumes, and networks\n- [Kubernetes](https://github.com/Flux159/mcp-server-kubernetes) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Manage pods, deployments, and services\n- [Linear](https://github.com/jerhadf/linear-mcp-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Project management and issue tracking\n- [Spotify](https://github.com/varunneal/spotify-mcp) - \u003cimg src=\"./images/languages/python.svg\" \u003e Control Spotify playback and manage playlists\n- [PBS API](https://github.com/matthewdcage/pbs-mcp-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A standalone Model Context Protocol (MCP) server that allows AI models to access the Australian Pharmaceutical Benefits Scheme (PBS) API, which contains information about medicines, pricing, and availability in Australia.\n- [BlenderMCP](https://github.com/ahujasid/blender-mcp) - \u003cimg src=\"./images/languages/python.svg\" \u003e BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.\n- [WhatsApp MCP Server](https://github.com/lharries/whatsapp-mcp) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e This is a Model Context Protocol (MCP) server for WhatsApp.With this you can search you personal Whatsapp messages, search your contacts and send messages to either individuals or groups.\n- [ghidraMCP](https://github.com/LaurieWired/GhidraMCP) - \u003cimg src=\"./images/languages/python.svg\" \u003e ghidraMCP is an Model Context Protocol server for allowing LLMs to autonomously reverse engineer applications. It exposes numerous tools from core Ghidra functionality to MCP clients.\n- [Framelink Figma MCP Server](https://github.com/GLips/Figma-Context-MCP) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.\n- [Firecrawl MCP Server](https://github.com/mendableai/firecrawl-mcp-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.\n- [Unity MCP](https://github.com/justinpbarnett/unity-mcp) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Unity package that enables seamless communication between Unity and Large Language Models (LLMs) like Claude Desktop via the Model Context Protocol (MCP). This server acts as a bridge, allowing Unity to send commands to and receive responses from MCP-compliant tools, empowering developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.\n- [QA Sphere MCP Server](https://github.com/Hypersequent/qasphere-mcp) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e his integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow.\n\n### location \u0026 time\n\n- [Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e MCP Server for the Google Maps API.\n- [Time](https://github.com/modelcontextprotocol/servers/tree/main/src/time) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.\n\n### monitor\n\n- [Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.\n- [Axiom](https://github.com/axiomhq/mcp-server-axiom) - \u003cimg src=\"./images/languages/python.svg\" \u003e Query and analyze logs, traces, and event data using natural language using Axiom Processing Language (APL).\n- [Kubernetes](https://github.com/Flux159/mcp-server-kubernetes) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Manage pods, deployments, and services\n- [Spotify](https://github.com/varunneal/spotify-mcp) - \u003cimg src=\"./images/languages/python.svg\" \u003e Control Spotify playback and manage playlists\n\n### notification\n\n- [Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server for the Slack API and interact with Slack workspaces.\n\n### search\n\n- [AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.\n- [Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.\n- [Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e This MCP server integrates with Google Drive to allow listing, reading, and searching over files.\n- [Obsidian](https://github.com/smithery-ai/mcp-obsidian) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Read and search through Markdown notes in Obsidian vaults\n- [Qdrant](https://github.com/qdrant/mcp-server-qdrant) - \u003cimg src=\"./images/languages/python.svg\" \u003e Implement semantic memory using the Qdrant vector search engine\n- [Search1API](https://github.com/fatwang2/search1api-mcp) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Unified API for search, crawling, and sitemaps by Search1 API\n\n### storage\n\n- [Filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Node.js server implementing Model Context Protocol (MCP) for filesystem operations.\n- [Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e This MCP server integrates with Google Drive to allow listing, reading, and searching over files.\n- [PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.\n- [Redis](https://github.com/modelcontextprotocol/servers/tree/main/src/redis) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.\n- [SQLite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite) - \u003cimg src=\"./images/languages/python.svg\" \u003e A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.\n- [Neon](https://github.com/neondatabase/mcp-server-neon) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Interact with the Neon serverless Postgres platform\n- [Obsidian](https://github.com/smithery-ai/mcp-obsidian) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e Read and search through Markdown notes in Obsidian vaults\n- [Qdrant](https://github.com/qdrant/mcp-server-qdrant) - \u003cimg src=\"./images/languages/python.svg\" \u003e Implement semantic memory using the Qdrant vector search engine\n- [PBS API](https://github.com/matthewdcage/pbs-mcp-server) - \u003cimg src=\"./images/languages/typescript.svg\" \u003e A standalone Model Context Protocol (MCP) server that allows AI models to access the Australian Pharmaceutical Benefits Scheme (PBS) API, which contains information about medicines, pricing, and availability in Australia.\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/aimcp%2Fawesome-mcp/projects"}