MCP Servers
About
A collection of reference implementations for the Model Context Protocol (MCP), demonstrating how to give LLMs secure access to tools and data using Typescript and Python SDKs.
Details
- Author
- devassistantai
- Categories
- Developer Tools, AI, Knowledge Base
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Setup
Install MCP Servers in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/devassistantai/mcp-servers
Follow the installation instructions in the repository README, then restart your MCP client.
This repository is a collection ofreference implementationsfor theModel Context Protocol(MCP), as well as references to community built servers and additional resources.
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. Each MCP server is implemented with either theTypescript MCP SDKorPython MCP SDK.
Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.
- AWS KB Retrieval- Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- Brave Search- Web and local search using Brave's Search API
- EverArt- AI image generation using various models
- Everything- Reference / test server with prompts, resources, and tools
- Fetch- Web content fetching and conversion for efficient LLM usage
- Filesystem- Secure file operations with configurable access controls
- Git- Tools to read, search, and manipulate Git repositories
- GitHub- Repository management, file operations, and GitHub API integration
- GitLab- GitLab API, enabling project management
- Google Drive- File access and search capabilities for Google Drive
- Google Maps- Location services, directions, and place details
- Memory- Knowledge graph-based persistent memory system
- PostgreSQL- Read-only database access with schema inspection
- Puppeteer- Browser automation and web scraping
- Sentry- Retrieving and analyzing issues from Sentry.io
- Sequential Thinking- Dynamic and reflective problem-solving through thought sequences
- Slack- Channel management and messaging capabilities
- Sqlite- Database interaction and business intelligence capabilities
- Time- Time and timezone conversion capabilities
Official integrations are maintained by companies building production ready MCP servers for their platforms.
- 21st.dev Magic- Create crafted UI components inspired by the best 21st.dev design engineers.
- Apify-Actors MCP Server: Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
- Audiense Insights- Marketing insights and audience analysis fromAudiensereports, covering demographic, cultural, influencer, and content engagement analysis.
- Axiom- Query and analyze your Axiom logs, traces, and all other event data in natural language
- Browserbase- Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
- ClickHouse- Query yourClickHousedatabase server.
- Cloudflare- Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- E2B- Run code in secure sandboxes hosted byE2B
- eSignatures- Contract and template management for drafting, reviewing, and sending binding contracts.
- Exa- Search Engine made for AIs byExa
- Firecrawl- Extract web data withFirecrawl
- Fireproof- Immutable ledger database with live synchronization
- Grafana- Search dashboards, investigate incidents and query datasources in your Grafana instance
- IBM wxflows- Tool platform by IBM to build, test and deploy tools for any data source
- ForeverVM- Run Python in a code sandbox.
- Integration App- Interact with any other SaaS applications on behalf of your customers.
- JetBrains– Work on your code with JetBrains IDEs
- Kagi Search- Search the web using Kagi's search API
- Langfuse Prompt Management- Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
- Lingo.dev- Make your AI agent speak every language on the planet, usingLingo.devLocalization Engine.
- Meilisearch- Interact & query with Meilisearch (Full-text & semantic search API)
- Metoro- Query and interact with kubernetes environments monitored by Metoro
- MotherDuck- Query and analyze data with MotherDuck and local DuckDB
- Needle- Production-ready RAG out of the box to search and retrieve data from your own documents.
- Neo4j- Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- Neon- Interact with the Neon serverless Postgres platform
- Oxylabs- Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
- Qdrant- Implement semantic memory layer on top of the Qdrant vector search engine
- Raygun- Interact with your crash reporting and real using monitoring data on your Raygun account
- [Riza- Arbitrary code execution and tool-use p
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