fastmcp Skill
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment. Published by NousResearch in hermes-agent.
What is fastmcp Skill?
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Database workflows
- Deployment
- Testing use cases
- Database workflows use cases
Technical details
- Install or run with Copy skill directory
When to use fastmcp Skill
- Use it for testing.
- Use it for database workflows.
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mcp/fastmcp/SKILL.md
What it does
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.
Skill instructions
FastMCP Build MCP servers in Python with FastMCP, validate them locally, install them into MCP clients, and deploy them as HTTP endpoints. When to Use Use this skill when the task is to: - create a new MCP server in Python - wrap an API, database, CLI, or file-processing workflow as MCP tools - expose resources or prompts in addition to tools - smoke-test a server with the FastMCP CLI before wiring it into Hermes or another client - install a server into Claude Code, Claude Desktop, Cursor, or a similar MCP client - prepare a FastMCP server repo for HTTP deployment Use native-mcp when the server already exists and only needs to be connected to Hermes. Use mcporter when the goal is ad-hoc CLI access to an existing MCP server instead of building one. Prerequisites Install FastMCP in the working environment first: bash pip install fastmcp fastmcp version For the API template, install httpx if it is not already present: bash pip install httpx Included Files Templates - templates/apiwrapper
Explore related resources
Frequently asked questions
What is fastmcp?
fastmcp is a open-source AI agent skill with Copy skill directory. Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP.
Who is fastmcp best for?
fastmcp is best for reusing agent instructions, scripts, and references, testing workflows, database workflows, deployment workflows.
How do I install fastmcp?
Install or run fastmcp using Copy skill directory. Check fastmcp for the latest setup command.
Is fastmcp actively maintained?
fastmcp may need a closer maintenance check before production use.
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