API Integration
| Server | Language | Stars | Downloads |
|---|---|---|---|
| agent-tool Encoding-aware, indentation-smart file tools for AI coding agents with SSH, SFTP, and 20+ tools. | — | — | — |
| AgentTrust Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes. | Python | — | — |
| AgentUp Portable , scalable , secure AI Agents | Python | 115 | — |
| agent-validator-mcp-server Lighthouse for AI agents — test if APIs and services are properly accessible to AI agents | Python | — | — |
| AgentVault Discover, verify, and connect to AI agents with E2E encrypted messaging and trust scoring. | TypeScript | — | — |
| AgentWatch Multi-agent observability: cascade failure detection, heartbeats, and forensic replay | TypeScript | — | — |
| agience-core 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. | Python | 37 | — |
| agify Agify MCP — age prediction from first name (agify.io, free, no auth) | — | — | — |
| @agledger/mcp-server AGLedger MCP Server — Thin API pass-through for AI agents via MCP protocol | TypeScript | — | — |
| AgnicPay x402 micropayment infrastructure for AI agents enabling automated USDC payments to 300+ APIs on Base and Solana. | — | — | — |
| Agoragentic Router Capability router for autonomous agents with remote MCP and USDC settlement on Base. | TypeScript | — | — |
| Aguara MCP Security scanner for AI agent skills and MCP servers | — | — | — |
| aha-mcp MCP server for accessing Aha! GraphQL API | TypeScript | — | — |
| @ahdev/dokploy-mcp MCP Server for Dokploy API | TypeScript | 19 | — |
| @ahmad.soliman/mcp-n8n-server MCP server for n8n API integration | TypeScript | — | — |
| Ahrefs 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. | TypeScript | 94 | — |
| ai-agent-service AI Agent Service built with FastAPI | Python | 12 | — |
| AIAgentwithPineScript 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 AI Briefing MCP — Keep AI models current on industry developments | — | — | — |
| ai-code-interface.el Unified Emacs interface supporting OpenAI Codex, GitHub Copilot CLI, Claude Code, Gemini CLI, Opencode, and more | Emacs Lisp | 214 | — |
| ai.contextstudios/mcp AI agency API: 25 free tools for glossary, comparisons, blog, guides, and estimates | TypeScript | — | — |
| AI-Cost-CLI AI API cost calculator, recommender & MCP server. 29 models across text/image/video/audio. | Python | — | — |
| ai.cueapi/mcp Schedule agent work and report write-once outcomes via CueAPI from any MCP host. | TypeScript | — | — |
| AiEGIS AI agent security and governance. Register, verify, scan, and monitor agents. | — | — | — |
| ai.fathom.api/mcp Give your AI assistant real meeting context via Fathom so every output grounded in your work | — | — | — |