Automated, calibrated SWAT+ watershed modeling and national hydrologic datasets for the U.S.
Multi-model AI image and video generator. 14 models behind one OAuth-secured MCP endpoint.
Local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance.
MCP server for GoCD: dashboard, pipelines, artifacts, agents. Context-lean output.
Scan any codebase, generate CONVENTIONS.md, expose conventions as MCP tools for AI agents.
An MCP server to search papers from arXiv.
MCP server for Frappe/ERPNext development with AI assistance for DocTypes, bench commands, and APIs.
Agentic SDLC governance and security controls for AI coding agents working with GitHub.
Hand-drawn explainer illustrations in your AI host, via an MCP App with an interactive viewer.
Independent MCP integration for Autodesk Revit software through a local bridge.
MCP server connecting AI assistants to Autodesk Revit through a local bridge.
Manage AdGuard Home through AI assistants.
Manage Authentik through AI assistants.
Manage Komodo through AI assistants.
Manage Proxmox VE through AI assistants.
Arachne MCP — scraping, browser, vision, OCR, RAG, Social Research, GitHub + VRT (56 tools).
161 AI agents for code gen, health, AI/ML, infra, India-stack. One command.
Local-first, source-backed continuity for AI agents via stdio MCP.
Etch is a signed audit chain for AI agent decisions, offline-verifiable against pinned public keys.
MCP server for Apple's App Store Connect API. Manage apps, TestFlight, and more.
Read-only Steam: friends, games, achievements, sales, plus game recommendations and co-op nights.
Multi-source job discovery, deduplication and AI/Web3 classification for AI agents.
Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
Control Classic Mac OS (System 7-9) from AI agents via shared folder protocol.
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.