Model Context Protocol servers that extend AI capabilities
Generate QR codes from text or URLs. Returns base64 PNG. x402 micropayment.
Test, validate and explain regular expressions with match highlighting. x402 micropayment.
Multi-source research report generator with web fetching. x402 micropayment.
Validate SMS-capable phone numbers — mobile vs landline, E.164 format. x402 micropayment.
Classify text into categories with confidence, readability, content type. x402.
Translate text between 50+ languages with auto-detection. x402 micropayment.
Token holder distribution — top holders, whale count, concentration score. x402.
Shorten URLs with hash-based codes or custom aliases. x402 micropayment.
In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
Web search returning structured results — titles, URLs, snippets. x402 micropayment.
Test webhook endpoints — send requests, measure latency, validate responses. x402 micropayment.
MCP server for Hashlock intent protocol — create, commit, validate and parse intents.
Johnhyeon
StockLens — AI가 진짜 데이터로 분석합니다. 네이버 증권 기반 한국 주식 MCP 서버 (차트, 수급, 재무, 스크리닝, Excel)
FreeAgent accounting MCP: bank reconciliation, expenses, mileage claims and receipts.
Control Classic Mac OS (System 7-9) from AI agents via shared folder protocol.
Persistent knowledge system with OWL-RL reasoning and 22 MCP tools. Local-first.
Hire humans for tasks AI can't do. Fair trade pay floors, prepaid escrow, ethical receipts.
Teague Sterling
Semi-QUalified Agent Companion Kit — the stateful intelligence + MCP server layer for fledgling-equipped agents.
AI-powered meme token launch service on Solana/pump.fun with bundled buys and Jito speed
Classic poetry search and discovery via PoetryDB.
Connect AI agents to Marvenn for outbound growth via email, voice, and LinkedIn.
Persistent memory for AI agents — write once, recall anywhere across all your AI tools
Check if an AI agent is trustworthy. Sybil detection, signed attestations, 150,000+ agents. Free.
James Chahwan
MCP server that gives LLMs a structural map of any codebase — entities, relationships, and flows — so they navigate to the right files without reading everything first.
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