Encoding-aware, indentation-smart file tools for AI coding agents with SSH, SFTP, and 20+ tools.

Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.

Portable , scalable , secure AI Agents

Lighthouse for AI agents — test if APIs and services are properly accessible to AI agents

Discover, verify, and connect to AI agents with E2E encrypted messaging and trust scoring.

Multi-agent observability: cascade failure detection, heartbeats, and forensic replay

The operating system that AI workflows trust. Structure messy inputs. Establish identity. Track provenance. Build the durable data layer your AI workflows need to be trusted, reusable, and auditable.

Agify MCP — age prediction from first name (agify.io, free, no auth)

AGLedger MCP Server — Thin API pass-through for AI agents via MCP protocol

x402 micropayment infrastructure for AI agents enabling automated USDC payments to 300+ APIs on Base and Solana.

Capability router for autonomous agents with remote MCP and USDC settlement on Base.

Security scanner for AI agent skills and MCP servers

MCP server for accessing Aha! GraphQL API

MCP Server for Dokploy API

MCP server for n8n API integration

Integrates with Ahrefs' SEO and marketing APIs to provide rank tracking, keyword research, batch analysis, search volume data, and competitor insights for search marketing intelligence workflows.

AI Agent Service built with FastAPI

tv-pinescript-backtest-mcp exposes a remote MCP endpoint so agents can: run strategy backtests by symbol/timeframe/date range, pass strategy inputs programmatically, receive structured backtest results (trades, win rate, profit, drawdown), keep long-running runs observable via progress notifications, support Binance Futures tickers only, enforce a maximum of 1440 candles per backtest, apply a rate limit of 3 backtests per minute per user, ask your agent to write a strategy and backtest it. Troubleshooting The backtest-engine server has been tested on 30 strategies and tuned to match TradingView backtests 1:1 as closely as possible. Some operators may still be unsupported. If you hit this case, please create a minimal strategy that reproduces the issue and submit it in Issues. We will do our best to add support quickly. https://backtest-engine-mcp.click/ https://github.com/vtlk/tv-pinescript-backtest-engine-mcp

AI Briefing MCP — Keep AI models current on industry developments

Unified Emacs interface supporting OpenAI Codex, GitHub Copilot CLI, Claude Code, Gemini CLI, Opencode, and more

AI agency API: 25 free tools for glossary, comparisons, blog, guides, and estimates

AI API cost calculator, recommender & MCP server. 29 models across text/image/video/audio.

Schedule agent work and report write-once outcomes via CueAPI from any MCP host.

AI agent security and governance. Register, verify, scan, and monitor agents.

Give your AI assistant real meeting context via Fathom so every output grounded in your work