# Prefect MCP Server

> Use this tool when you need to monitor and debug complex workflows, deployments, and automations, and require a centralized server to manage and track their performance. The Prefect MCP Server takes in workflow and deployment data as input and provides real-time monitoring and debugging outputs, enabling users to identify and resolve issues efficiently. It is particularly useful in contexts where automated workflows and deployments require reliable and transparent management.

Canonical page: https://skillsregistry.net/skills/io-github-prefecthq-prefect-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-prefecthq-prefect-mcp-server

## Description

MCP server for Prefect. Monitor and debug workflows, deployments, and automations.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 0.0.1-beta.10
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-11

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.PrefectHQ%2Fprefect-mcp-server)

## 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": "io-github-prefecthq-prefect-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-prefecthq-prefect-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-prefecthq-prefect-mcp-server/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