Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
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Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"fast-agent-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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<p align="center"> <a href="https://pypi.org/project/fast-agent-mcp/"><img src="https://img.shields.io/pypi/v/fast-agent-mcp?color=%2334D058&label=pypi" /></a> <a href="#"><img src="https://github.com/evalstate/fast-agent/actions/workflows/main-checks.yml/badge.svg" /></a> <a href="https://github.com/evalstate/fast-agent/issues"><img src="https://img.shields.io/github/issues-raw/evalstate/fast-agent" /></a> <a href="https://discord.gg/xg5cJ7ndN6"><img src="https://img.shields.io/discord/1358470293990936787" alt="discord" /></a> <img alt="Pepy Total Downloads" src="https://img.shields.io/pepy/dt/fast-agent-mcp?label=pypi%20%7C%20downloads"/> <a href="https://github.com/evalstate/fast-agent-mcp/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/fast-agent-mcp" /></a> </p> ## Start Here > [!TIP] > Please see https://fast-agent.ai for latest documentation. **`fast-agent`** is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform. To start an interactive session with shell support, install [uv](https://astral.sh/uv) and run ```bash uvx fast-agent-mcp@latest -x ``` To start coding with Hugging Face inference providers or use your OpenAI Codex plan: ```bash # Code with Hugging Face Inference Providers uvx fast-agent-mcp@latest --pack hf-dev # Code with Codex (agents optimized for OpenAI) uvx fast-agent-mcp@latest --pack codex ``` Enter a shell with `!`, or run shell commands e.g. `! cd web && npm run build`. Manage skills with the `/skills` command, and connect to MCP Servers with `/connect`. The default **`fast-agent`** registry contains skills to let you set up LSP, Agent and Tool Hooks, Compaction strategies, Automation and more. ```bash # /connect supports stdio or streamable http (with OAuth) # Start a STDIO server /connect @modelcontextprotocol/server-everything # Connect to a Streamable HTTP Server /connect https://huggingface.co/mcp ``` It's recommended to install **`fa…
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