MCP servers · connect in Claude Code
Claude Code MCP servers
4,761 MCP servers have a connect command for Claude Code. 2,135 are SAFE, 935 CAUTION and 1,691 BLOCK. Every one was read in full before it was listed.
Cite
Cite this page
ModelsAtlas. “Claude Code MCP servers”. Retrieved 29 Oct 2026. https://modelsatlas.com/mcp/for/claude-code/page/39
Verdicts · 4,761 servers
Transports
- stdio, runs locally3,568
- Streamable HTTP, remote1,784
- SSE, legacy remote410
- Not declared657
A server can list more than one transport.
Tool risk
1,342
servers expose at least one destructive tool: delete, overwrite or run. The median server with a readable tool list exposes 10 tools.
Servers with no destructive tools →4,761 servers for Claude Code
913–936 of 4,761 · ranked by trust score, then stars
Magento 2
boldcommerce/magento2-mcp
A MCP server for Magento 2
NS Travel Information
r-huijts/ns-mcp-server
A Model Context Protocol (MCP) server that provides access to NS (Dutch Railways) travel information through Claude AI. This server enables Claude to fetch real-time train travel information and disruptions using the official Dutch NS API.
RAG App on AWS
genieincodebottle/rag-app-on-aws
Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.
Shell Command
egoist/shell-command-mcp
MCP server for executing shell commands.
Tabby
gentlemanhu/tabby-mcp
MCP server for Tabby terminal, 36 MCP tools including SFTP support, full control your Tabby!
Trading212
rohananandpandit/trading212-mcp-server
The Trading212 MCP server is a Model Context Protocol server implementation that provides seamless data connectivity to the Trading212 trading platform enabling advanced interaction capabilities via the public beta API.
Voice Call
popcornspace/voice-call-mcp-server
AI Humanizer
text2go/ai-humanizer-mcp-server
A powerful Model Context Protocol (MCP) server that helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.
Apple Books
vgnshiyer/apple-books-mcp
Apple Books MCP Server
Astro
morinokami/astro-mcp
MCP server to support Astro project development
Cline Memory Bank
dazeb/cline-mcp-memory-bank
A memory system for Cline that tracks progress between conversations.
Cryptocurrency Market Data
nayshins/mcp-server-ccxt
Cryptocurrency Market Data MCP Server
FFmpeg Video Processor
bitscorp-mcp/mcp-ffmpeg
Gmail
shinzo-labs/gmail-mcp
MCP Implementation for Gmail Services
Hub
warpdev/mcp-hub-mcp
Jimengpic
comeonzhj/jimengpic-mcp
使用即梦 API 生成图片的 MCP 服务
Kimi Code
howardpen9/kimi-code-mcp
MCP server for Claude Code × Kimi K2.5 (256K context) — delegate bulk codebase analysis to Kimi, save 90% on token costs. Session caching, parallel agents, TypeScript.
Knowledge Graph Memory
itseasy21/mcp-knowledge-graph
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
LLM Wiki Kit
iamsashank09/llm-wiki-kit
Stop re-explaining your research to your AI agent. Persistent, LLM-maintained wikis that compound over time. Drop PDFs, URLs, YouTube - your agent remembers forever. Based on Karpathy's LLM Wiki pattern.
roslyn-codelens-mcp
MarcelRoozekrans/roslyn-codelens-mcp
Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.
Screenshot
upnorthmedia/screenshotmcp
A Model Context Protocol MCP server for capturing website screenshots with full page, element, and device size features.
X (Twitter)
vidhupv/x-mcp
Agentloop
luckeyfaraday/athena-loops
MIT-licensed, backend-agnostic AI agent orchestration loop in Python: orchestrator→worker→reviewer as a deterministic harness. Drive coding-agent backends through an MCP server + CLI.
BatchIt
ryanjoachim/mcp-batchit
🚀 MCP aggregator for batching multiple tool calls into a single request. Reduces overhead, saves tokens, and simplifies complex operations in AI agent workflows.
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