MCP Server Registry

Multi-model AI debates: GPT-4o, Claude, Gemini & 200+ models discuss, then synthesize insight.

Aggregates multiple MCP resource servers into a unified proxy, enabling centralized access, request routing, and response aggregation.

MCP server integrating with Juniper Routing Director

Open-source AI coworker, with memory

Let AI agents create configurable voice agents via meeting rooms and return structured data.

MCP Server for Asana

@rsdoctor/mcp-server 是一个 MCP Server，旨在帮助用户更便捷地使用 Rsdoctor 的构建数据。它可以与 Rsdoctor 的本地构建分析数据配合使用，通过问答的形式，帮助你快速获取构建分析结果。

Google Reader inspired self-hosted RSS reader written in VueJS with an Express NodeJS backend. RSSMonster is compatible with the Fever API.

Spoonfeed your AI coding assistant with up to date documentation efficiently and without using a cloud service with the RTFD mcp server that runs on YOUR machine without any API key requirements!

The open retrieval layer for AI agents — index code, docs, data. Search via MCP.

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

Motion capture, rehab biomechanics, threat intel. 14 MCP tools. Free samples, x402/USDC paid.

Australian VET National Register — qualifications, units, skill sets, AQF ladders.

Convert API specs (OpenAPI) into agent-ready tool surfaces — MCP servers, function-calling schemas.

MCP server for Russian books search, details, and recommendation candidates.

Post-quantum AI compliance attestation as an MCP server. Works with Claude Desktop, Claude Code, Cursor, Windsurf, Continue, Zed.

Provides comprehensive Ruby ecosystem information including gem versions, changelogs, download statistics, reverse dependencies, and Ruby release data through RubyGems.org and GitHub APIs with intelligent caching and pagination for development workflow optimization.

The official Ruby SDK for the Model Context Protocol.

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

# Rug Munch Intelligence — MCP Server [](https://modelcontextprotocol.io) [](https://cryptorugmunch.app/api/agent/v1/status) [](https://cryptorugmunch.app/.well-known/x402) **19 tools for crypto token risk intelligence.** Detect rug pulls, honeypots, and scams before your agent transacts. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. ## What It Does | Tool | What | Price | |------|------|-------| | `check_token_risk` | Quick risk score (0-100) + recommendation | $0.04 | | `check_token_risk_premium` | Full breakdown + deployer + social OSINT | $0.10 | | `check_batch_risk` | Up to 20 tokens at once | $0.30 | | `check_deployer_history` | Deployer wallet analysis — serial rugger? | $0.06 | | `get_token_intelligence` | Complete token profile (price, holders, LP) | $0.06 | | `get_holder_deepdive` | Top holders, concentration, sniper detection | $0.10 | | `get_social_osint` | Social media presence and red flags | $0.06 | | `get_kol_shills` | KOL/influencer shill detection | $0.06 | | `get_coordinated_buys` | Detect coordinated buying patterns | $0.04 | | `check_blacklist` | Community blacklist check | $0.02 | | `check_scammer_wallet` | Known scammer wallet check | $0.02 | | `get_market_risk_index` | Global market risk overview | $0.02 | | `get_serial_ruggers` | Known serial rugger wallets | $0.02 | | `marcus_quick` | AI verdict — Claude Sonnet 4 quick analysis | $0.15 | | `marcus_forensics` | AI forensics — full Claude Sonnet 4 investigation | $0.50 | | `marcus_ultra` | AI deep analysis — Claude Opus 4 | $2.00 | | `marcus_thread` | AI analysis thread for X/Twitter | $1.00 | | `watch_token` | 7-day webhook monitoring for risk changes | $0.20 | | `get_api_status` | Service health + accuracy metrics (free) | Free | ## Quick Start ### Install ```bash pip install rug-munch-mcp ``` ### Claude Desktop Add to `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "rug-munch": { "command": "rug-munch-mcp", "env": {} } } } ``` ### Cursor / Windsurf Add to your MCP config: ```json { "rug-munch": { "command": "python3", "args": ["-m", "rug_munch_mcp"] } } ``` ### From Source ```bash git clone https://github.com/CryptoRugMunch/rug-munch-mcp cd rug-munch-mcp pip install -e . rug-munch-mcp ``` ## Payment Endpoints are paid via **x402 USDC micropayments** on Base mainnet. When you call a paid tool, the API returns HTTP 402 with payment details. x402-compatible clients handle this automatically. Alternatively, set an API key to bypass x402: ```json { "mcpServers": { "rug-munch": { "command": "rug-munch-mcp", "env": { "RUG_MUNCH_API_KEY": "your-key-here" } } } } ``` ## Supported Chains Solana, Ethereum, Base, Arbitrum, Polygon, Optimism, Avalanche ## Architecture ``` Your Agent (Claude, Cursor, etc.) ↓ MCP stdio rug-munch-mcp (this package) ↓ HTTPS cryptorugmunch.app/api/agent/v1/* ↓ x402 payment (if needed) Rug Munch Intelligence API ↓ 240K+ scans, 114K+ flagged tokens, AI forensics ``` ## Other Integration Methods - **x402 Direct**: [x402-trading-agent](https://github.com/CryptoRugMunch/x402-trading-agent) — Example Python agent - **AgentKit Plugin**: [rug-agent-kit](https://github.com/CryptoRugMunch/rug-agent-kit) — Coinbase AgentKit integration - **A2A**: `https://cryptorugmunch.app/.well-known/agent.json` - **OpenAPI**: `https://cryptorugmunch.app/api/agent/v1/openapi.json` ## Links - **API Status**: https://cryptorugmunch.app/api/agent/v1/status - **Discovery**: https://cryptorugmunch.app/.well-known/mcp.json - **Docs**: https://cryptorugmunch.app/api/agent/v1/skill.md - **GitHub**: https://github.com/CryptoRugMunch ## License MIT

MCP Server which can get your AI's to Code in an Production level state.