MCP Catalog
Browse 860 Model Context Protocol servers · Cloud & DevOps · MIT LicenseClear
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Architecture governance for AI agents: query the live model, get target patterns, check files.
Observe and operate Hatchet workflows from an AI agent — runs, logs, trigger, cancel, replay.
Policy-gated x402 MCP for agent workflows with TEE receipts, 18 tools, and no custody.
Windows-only headless LLM task automation engine with scheduling via Windows Task Scheduler.
Build on the Flarelink stack — Cloudflare auth, D1, and R2 — from your AI coding tools.
Marketplace of paid HTTP APIs. USDC micropayments via x402 on Base. Non-custodial.
Cloudflare MCP: DNS, Zones, Workers, KV, R2, D1, Pages, WAF, SSL, Email, AI via REST API v4
Manage self-hosted n8n (incl. queue mode): workflows, executions, users, audit — 51 tools.
A minimal, transparent PowerShell 7 MCP for Windows — one tool: raw exit code, stdout, stderr.
Paid hosted MCP for agent-to-agent compute routing. 25% of net revenue funds conservation.
Security suite for AI agents: flag drains, permit-phishing & risky actions before signing.
Drive a Krystal Voice Caller tenant from Claude, Cursor, or any MCP-aware agent.
Trust-aware repository facts for agents: build, test, docs, license, and security, no scraping.
Settlement protocol for AI agent swarms — hash-chained ledger, trust, 48 blueprints, 18 tools
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f
Single entry point for the GOSCE portfolio: routes orchestrators to verified agents by capability, w
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Network-egress firewall for agent tools: check URLs against a declarative policy.
Local-first code context, impact analysis, and merge-readiness verdicts for AI agents.
Runtime permission, approval, and audit layer for AI agent tool execution.
Single MCP hub: discover, add, audit, and govern MCP servers across every AI client.