Learning MCPs
3,662 MCP servers found
Claude-code-ChatInWindows
by LKbaba
Full-featured GUI for Claude Code CLI in VS Code — Windows (no WSL) & macOS. Third-party API, MCP plugins, Skills, Hooks, real-time token tracking. Actively maintained.
YourMemory
by sachitrafa
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
shodh-memory
by varun29ankuS
Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
MinerU-Document-Explorer
by opendatalab
Agent-native knowledge engine with MCP tools for document indexing, wiki organization, fast retrieval and deep reading across PDF/DOCX/PPTX/Markdown
agents
by astronomer
AI agent tooling for data engineering workflows.
iam-policy-autopilot
by awslabs
IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.
MCPSpy
by alex-ilgayev
MCP Monitoring with eBPF
Dex
by davekilleen
Your AI Chief of Staff — a personal operating system starter kit that adapts to your role. No coding required.
mcp
by oracle
Repository containing MCP (Model Context Protocol) servers that provides a suite of tools for managing and interacting with Oracle products.
claude-tradingview-mcp-trading
by jackson-video-resources
Connect Claude Code to TradingView and execute trades automatically via BitGet
awesome-x402
by xpaysh
🚀 Curated list of x402 resources: HTTP 402 Payment Required protocol for blockchain payments, crypto micropayments, AI agents, API monetization. Includes SDKs (TypeScript, Python, Rust), examples, facilitators (Coinbase, Cloudflare), MCP integration, tutorials. Accept USDC payments with one line of code. Perfect for AI agent economy.
rohlik-mcp
by tomaspavlin
Shop groceries across the Rohlik Group platforms (Rohlik.cz, Knuspr.de, Gurkerl.at, Kifli.hu, Sezamo.ro)
web-agent-protocol
by OTA-Tech-AI
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
gemini-kit
by nth5693
🚀 19 AI Agents + 44 Commands for Gemini CLI - Code 10x faster with auto planning, testing, review & security
meta-ads-analyzer
by mathiaschu
Meta Ads Analyzer skill + MCP server for Claude Code. Breakdown Effect, Learning Phase, and expert-level campaign diagnosis.
life-sciences
by anthropics
Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to host the marketplace.json long-term, but not the actual MCP servers.
mcp-server-code-execution-mode
by elusznik
An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.
CoexistAI
by SPThole
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.
mcp-bench
by Accenture
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
travel-hacking-toolkit
by borski
AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.
openclaw.net
by clawdotnet
Self-hosted OpenClaw gateway + agent runtime in .NET (NativeAOT-friendly)
obsidian-mcp-plugin
by aaronsb
High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access through semantic operations and HTTP transport.
AEnvironment
by inclusionAI
Standardized environment infrastructure for Agentic AI development.
claude-elixir-phoenix
by oliver-kriska
Claude Code plugin for Elixir/Phoenix/LiveView — 20 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.