What is an MCP server?
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Browse MCP servers by category and sort by GitHub stars or newest additions. Open a listing for configuration and setup details.
LutoLabs
Personal knowledge twin with semantic search. Store voice notes, documents, URLs, principles, and skills from any AI chat, then retrieve them with inline provenance citations. Hosted, multi-tenant, with per-user bearer-token auth and full data isolation.
ruslanmv
Building a Watsonx.ai Chatbot RAG Server with MCP compatible with Claude Desktop.
pi-prakhar
Meeting-Baas
An MCP server to deliver context to the MeetingBaaS chat
lawmem-ai
LawMem gives legal AI agents persistent, searchable memory via MCP. Store case notes, client context, research findings, and matter history — recalled semantically when relevant. Namespace-isolated, audit-logged, GDPR-compliant. Free tier + paid plans.
UsamaK98
A lightweight python notebook mcp server that allows AI agents and other MCP clients to interact with python notebook files seamlessly.
phoenine
A simple MCP server that integrates with Notion's API to manage my personal habit track.
MohitDhawane
6-tier AI memory system with 28 MCP tools — episodic memory, knowledge graphs, document storage, session ledger, auth & GDP 6-tier AI memory system with 28 MCP tools — episodic memory, knowledge graphs, document storage, session ledger, auth & GDPR complianceR compliance
ghoulr
A MCP server that provides Bun documentation to AI assistants. This enables your AI to access up-to-date Bun documentation and provide accurate guidance on Bun APIs.
notebook-intelligence
AmirUpSkill
Br0ski777
x402 micropayment API for AI agents. In-memory vector store with cosine similarity search. For RAG pipelines. Pay per call with USDC on Base.
RahulSaini02
This repo is dedicated to learning and working with large language models (LLMs), prompt engineering, and modern GenAI tools such as LangChain, RAG, and vector databases.
lkm1developer
luismichio
gpreddy172
A simple MCP server to search for documentation
a-s-g93
A short demo of the Neo4j Memory MCP server.
fak111
A local knowledge management MCP server built with FastMCP framework.
SelfMemory
It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking
questmapping
ItamarZand88
MCP server for GitHub Knowledge Graph exploration and analysis
Kishan-N
MCP Server to generate Leetcode Notes
Indigo-Coder-github
MCP server to provide weather forecast in South Korea
BabyManisha
Tool to fetch and summarize developer documentation from [MDN Web Docs](https://developer.mozilla.org/).
Vishnunkumar
helinakdogan
Self-learning memory for AI tools. Remembers user preferences and context across Claude, Cursor, and Codex — with multi-parameter forgetting and cross-tool identity.
dgtalquantumleap-ai
Generate legally compliant contracts, NDAs, tenancy agreements, and 24+ more document types across 18 jurisdictions including Nigeria, Kenya, Ghana, UK, USA, Canada.
nmeierpolys
Make it easy for agents to build their context about your projects over time
yantrikos
Cognitive memory for AI agents — persistent semantic memory with knowledge graph and adaptive recall
aqara-docs
sugihAF
AI Agent Context Versioning and Synchronization
jagoff
memo is a local-first, long-term semantic memory for AI coding agents (Claude Code, Cursor, Cline, Codex). Runs fully offline with in-process embeddings — MLX on Apple Silicon or CPU sentence-transformers on Linux/Docker — and a sqlite-vec + BM25 hybrid retrieval pipeline with re
HKanoje
Ayesha0300
mahawi1992
MCP Documentation Server with AI Learning Capabilities
osok
this is a MCP server that create uml text based class diagrams, project tree structure and a list of modules anf functions in the project to assist cursor in understanding the project.
MCP-Mirror
Mirror of
H1manshu01
TheWinci
Persistent project memory for AI coding agents. Hybrid vector + BM25 search with AST-aware chunking (24 languages), dependency graph boosting, conversation memory, checkpoints, annotations, and wiki generation. Local-first, zero config. `bunx mimirs init`
DotNaos
zishengwu
A Model Context Protocol (MCP) server that leverages a vector database to efficiently index and query the codebase.
redthing1
mcp server for your personal notes
iAchilles
A local, fully-offline MCP memory server using SQLite + FTS5 + sqlite-vec with embedding support
lecharles
A Model Context Protocol (MCP) server implementation for graph-based memory storage with RAG capabilities
Gelembjuk
This is the MCP server with memory interface. It can be used with an AI Chat tool as a memory service
Mookse
Big0290
🧠 Deep Project Analysis: Memory Context Manager v2
helixbox
Public docs, examples, and agent-readable integration guides for PubFi's agent-native crypto data layer.
ue-sho
ossfellow
Basic Memory MCP server integration, for Zed Editor's Assistant.
seritalien
Verifiable Memory-as-a-Service for AI agents. Persistent, searchable, graph-connected knowledge with optional Starknet
tejzpr
Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on LadybugDB (embedded property graph database), it uses EcphoryRAG-inspired multi-stage retrieval - combining cue extraction, graph traversal, vector similari
flowing-abyss
Local-first MCP server for searching private Obsidian vaults with hybrid full-text, fuzzy, semantic, and wikilink graph retrieval.
v587d
A free, plug-and-play knowledge base. Built-in with 10,000+ high-quality insight reports, packaged as MCP Server, and secure local data storage.
HarshDindeAI
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector search. It enables AI models to retrieve and process documentation, allowing for
tkc
Notion MCP Server
thinklytics
This demonstration project shows how to implement a Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) capabilities. The demo allows AI models to interact with a knowledge base, search for information, and add new documents.
AzureDevOpsAPI
A CLI utility for turning your docs into a stdio MCP server
hellozhangran
obsidian-mcp-python, a very simple MCP Server demo that can help you to operate something about your obsidian md file
osaken55
Common questions about MCP servers, tools, and integrations
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Every server's detail page includes ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, and other common clients — most installs take just a couple of minutes.
Most servers listed here are free and open source. Some wrap third-party APIs (cloud services, paid data providers, etc.) that require your own API key or subscription.
A local MCP server runs on your device and usually connects over stdio, giving you more direct control over data but requiring a runtime and installation. A remote MCP server is hosted by a provider and connects over HTTP, making setup easier while adding network and provider availability dependencies.
Claude Desktop, Claude Code, Cursor, VS Code, Codex, and other AI clients that support the Model Context Protocol can connect to MCP servers. Configuration formats and supported transports vary by client.
Review the source repository, maintenance activity, dependencies, requested permissions, and data-handling documentation before installation, and prefer official or trusted maintainers. Use least-privilege credentials for sensitive access such as files, databases, shells, and production systems.