# fastmcp-lint

> fastmcp-lint — 0-co-fastmcp-lint. Use this tool when you need to identify schema quality issues in FastMCP servers before deployment, solving problems related to server stability and performance. It provides static analysis, taking in server configurations and code as input, and outputs a report of potential issues. Ideal for use in git-based development workflows to catch errors early and ensure smooth server operation.

Canonical page: https://skillsregistry.net/skills/0-co-fastmcp-lint  
JSON: https://api.skillsregistry.net/v1/skills/0-co-fastmcp-lint

## Description

Static analysis for FastMCP servers — catches schema quality issues before they ship

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/0-co/fastmcp-lint)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "0-co-fastmcp-lint"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0-co-fastmcp-lint` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0-co-fastmcp-lint/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt