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.
adelinamart
Shared memory across your team and your AI agents — with judgment.
ipospelov
MCP server that helps build Memory Bank - structured documentation system for context preservation
n24q02m
Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.
karaage0703
joelhooks
mcp server for logseq graph
Geeksfino
Build a knowledge base into a tar.gz and give it to this MCP server, and it is ready to serve.
WhenMoon-afk
Local Memory MCP Server
JanYork
Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across sessions.
tan-yong-sheng
MCP server for TriliumNext Notes
dazeb
A memory system for Cline that tracks progress between conversations.
aashari
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
IncomeStreamSurfer
srclight
Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.
IzumiSy
MCP Memory Server with DuckDB backend
promplate
Real hot-module reload for Python—side effects handled reactively. https://py3.online/hmr
T1nker-1220
I enhance the existing memory mcp server from the official mcp github, so big thanks and credits for creating this
fazer-ai
MCP server for Obsidian (TypeScript + Bun)
IvanAmador
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel AI SDK and receive accurate, contextualized responses based on the official docum
jeanibarz
This MCP server provides tools for listing and retrieving content from different knowledge bases.
raphasouthall
Local RAG layer and optimizer for your Markdown knowledge base. CLI + MCP server: grounded answers for any AI client, stale-note detection, session harvesting into memories. Local-first.
procload
MCP Server implementation of the DnD 5e API using resources, tools, and prompts.
sionic-ai
eyalzh
MCP server providing kanban-based task management memory for complex multi-session workflows with AI agents
alizdavoodi
This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server, designed for integration with tools like Cursor.
aakarsh-sasi
MCP Server with Remote SSH support
9Ninety
A simple note-taking MCP server for recording and managing notes with AI models.
dailydaniel
simple logseq mcp server
brianirish
A Laravel developer's MCP companion. Get the absolute best advice, recommendations, and up-to-date documentation for the entire Laravel ecosystem.
kwanLeeFrmVi
mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your document content by indexing and retrieving relevant information efficiently.
rps321321
The most feature-complete MCP server for Obsidian vaults — 23 tools + 3 resources for search, read, write, tags, link analysis, graph traversal, and canvas. Also ships as an Obsidian plugin (github.com/rps321321/obsidian-mcp-pro-plugin).
sylweriusz
Badhansen
A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list.
gustavo-meilus
A MCP server that uses Logseq API to extract and interact with Logseq notes.
marcelmarais
anpigon
An MCP server that enables searches within Obsidian vaults using the Omnisearch plugin API. Returns absolute paths to matching notes for seamless integration. 🚀
weekitmo
This MCP server is used to provide Godot documentation to the Godot RAG model.
Ejb503
This an Model Context Protocol (MCP) server that integrates Notion into your AI workflows. This server enables seamless access to Notion through MCP, allowing AI agents to interact with pages, databases, and comments.
shiquda
A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖 wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!
IgorGanapolsky
Agent governance for ThumbGate: 👍/👎 become Pre-Action Checks that flag repeat mistakes and hard-block the risky ones before code or systems change.
delorenj
MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database
unibaseio
A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, verifiable multi-session memory.
JovanHsu
MCP Memory Server with Neo4j backend for AI knowledge graph storage
mattijsdp
MCP (model context protocol) server for interacting with dbt Docs
Siddhant-K-code
MCP server for apple notes
Harry-027
An MCP Server in Rust for creating Notion pages & mdBooks with LLMs 🦀
pmmvr
MCP server enabling AI agents to perform natural knowledge discovery and analysis across Obsidian vault
Excoriate
Deno/TypeScript MCP Server providing context related to Terragrunt documentation.
mishafyi
MCP server for Apple Developer Documentation: API reference, Human Interface Guidelines, App Store Connect Help, sample code and 1,700 WWDC sessions with transcripts and code. A fork of Apple Docs MCP.
jghiringhelli
MCP server with semantic search + knowledge graph for Claude Code, Cursor, and Copilot
benhaotang
MCP server for Semantic Scholar to search for papers
JubaKitiashvili
Your AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.
L3-N0X
A MCP Server for browsing the official Minecraft Wiki!
evangstav
syndicalt
Zaxy turns agent work into durable, auditable memory: a hash-chained Eventloom log as the source of truth, an embedded temporal knowledge graph for reasoning (local-first, no sidecar; Neo4j/Postgres optional), cited Memory Checkout for compact context, and MCP tools for model-fa
apw124
MCP Server for interacting with LogSeq graph
jfim
Obsidian tasks MCP server
cdugo
MCP Server to retrieve documentation for a package
Cam10001110101
immber
A MCP server to query and generate answers based on the ATproto documentation available online
M-Gonzalo
MCP server for retrieving relevant documentation from a knowledge base
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.