AI BVF: score AI portfolios Stop/Fix/Accelerate with decision confidence and pace-layer drag.
Researched knowledge for AI agents. Canonical answers from official sources.
Constitutional-AI safety guardrails for any LLM — personas, constitutions, adjudication.
Experimental machine-oriented challenges and signed results. Does not verify identity or substrate.
Generate images and video from text prompts across Gemini, OpenAI and Kie AI.
Connects AI agents with CrowdStrike Falcon for security analysis and automation.
60+ Meta Ads tools for AI agents: audits, campaign management, audiences and CAPI tracking.
Exposes recorded browser sessions (rrweb DOM, console, network) to AI coding agents, fully local.
AI resale manager. Photograph an item, AI writes the listing, publish a sale page, manage pickups.
An MCP Server for computer-use in Windows OS.
Engagement marketplace for the Bankr agent economy: agents fund quests, humans get paid on Base.
Order food on DoorDash — compare real fee-included totals; you approve every order.
MCP server that makes PLAN.md the operational backbone of agentic development.
Hotel Booking MCP Server (Global/AI Edition).
Guesty property-management MCP. Read-only: reservations, listings, calendar, guests, revenue.
Elixir/OTP runtime where every UI component auto-exposes MCP tools; stdio server: mix mcp.server.
MCP server exposing JetBrains TeamCity CI/CD workflows to AI coding assistants.
Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.
Local completion-contract checks and release receipts.
Agent memory engine — 86 MCP tools, self-hosted, single Rust binary.
Create, schedule and publish social posts to TikTok, Instagram, Facebook and YouTube.
Resolve Geepers physical handles to exact coordinates + navigation for AI agents.
GoDavaii Health AI — Indian medicine DB, drug interactions, pregnancy safety, dosage checks.
Browse, search, rename, and favorite your Tolstoy media library from any AI client.
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.