How does Agent MCP differ from Hugging Face?
Agent MCP focuses specifically on AI agents and MCP orchestration, whereas Hugging Face primarily covers LLMs and datasets.
Welcome to Agent MCP Server
@AgentMCP
Basic information
About Welcome to Agent MCP Server
A directory of AI Agents and MCP Orchestration open source tools
Welcome to Agent MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryWelcome to Agent MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Agent MCP?
Agent MCP is an open source project directory that focuses solely on AI agents and MCP orchestration, distinguishing itself from platforms like Hugging Face which focus on LLMs and datasets. It is available at www.agentmcp.ai.
How to use Agent MCP?
Browse and search the directory directly at www.agentmcp.ai. To edit the code locally, clone the repository, run npm i to install dependencies, and start the development server with npm run dev. A Firebase project with Google Authentication and Firestore must be configured for user authentication and search history features.
Key features of Agent MCP
- Browse and search AI Agent and MCP repositories
- Bulk import repositories from GitHub
- User authentication with Google
- Save and re-import previous search history
- Supports CursorAI, Windsurf AI, and Trey AI
Use cases of Agent MCP
- Discover and explore AI agent projects and MCP orchestration tools
- Maintain a personalized search history for repeated reference
- Bulk import GitHub repositories for centralized organization
- Compare and find agent-focused projects distinct from LLM datasets
Frequently asked questions
What technologies are used to build Agent MCP?
The project is built with Vite, TypeScript, React, shadcn-ui, and Tailwind CSS.
How do I set up Firebase authentication?
Create a Firebase project, enable Google Authentication, create a Firestore database, obtain your Firebase configuration, copy the `.env.example` file to `.env.local`, and fill in the configuration values.
What are the requirements for local development?
You need Node.js and npm installed. Clone the repo, run `npm i`, then `npm run dev` to start the development server.
More AI & Agents MCP servers
GoBuy - Product Trust
gobuy-aiGoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,
Quest: Hire a Human
Quest (hireahuman.quest)Hire a verified local human for small real-world tasks your AI agent can't do: errands, queues, pickups, in-person checks and on-site photos. Your agent posts a quest, local humans send offers, and your user picks one an
Nova Data Analytics
nova-data-analyticsAmazon Seller Central MCP server. Connect Seller Central, Vendor Central and Amazon Ads to Claude, ChatGPT, Gemini or Cursor, and ask for net profit per SKU with your own COGS, VAT and FBM shipping costs, PPC down to the
F
fhirHydrant
faulkjOpen-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.
14
TruVerifAI Panel-review
TruVerifAITruVerifAI's Panel Review is the guardian agent for AI's highest-stakes coding decisions: four frontier models argue over an AI coding agent's riskiest designs, diffs, and commits before they execute, with local review g
1
Comments