mcpField
F
FlyDocs

FlyDocs

Local
flydocs.aiDeveloper Tools
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About FlyDocs

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "ai-flydocs-flydocs": {
      "command": "npx",
      "args": [
        "-y",
        "@flydocs/cli"
      ]
    }
  }
}
Run commandnpx -y @flydocs/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@flydocs/cli1.3.32

Tools

11

Saved tool list · updated today

ParameterTypeRequiredDescription
refstringYesIssue reference, e.g. FLY-123
repostringNoWorkspace repo to target. Defaults to the current repo, or the first repo at a multi-repo root.
fieldsenumNobasic | full

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.