Steadyfetch MCP Server

SteadyFetch is an MCP server that gives your AI agents reliable web access with automatic retry, circuit breaker protection, caching, and anti-bot

Local serverstdio

What is the Steadyfetch MCP server?

Most developer tooling work still happens through a UI a human drives. Steadyfetch MCP server moves it into the conversation instead. SteadyFetch is an MCP server that gives your AI agents reliable web access with automatic retry, circuit breaker protection, caching, and anti-bot bypass — out of the box.

Getting it running

steadyfetch on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.

The tools it exposes

The server publishes 5 tools. What each one is for:

  • fetch_url — Full reliability fetch — returns markdown + HTML
  • fetch_markdown — Returns only clean markdown, optimized for LLMs
  • check_domain — Circuit breaker status for a domain
  • cache_stats — Cache utilization metrics
  • clear_cache — Flush the cache for fresh data

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Steadyfetch's toolset — fetch_url, fetch_markdown, check_domain and 2 more — is a fair guide to whether it matches your workflow. It is maintained by carsonlabs; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
fetch_urlFull reliability fetch — returns markdown + HTML
fetch_markdownReturns only clean markdown, optimized for LLMs
check_domainCircuit breaker status for a domain
cache_statsCache utilization metrics
clear_cacheFlush the cache for fresh data

How to install the Steadyfetch MCP server

Then connect from Claude Desktop:

```json
{
  "mcpServers": {
    "steadyfetch": {
      "command": "steadyfetch"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Steadyfetch to fetch url.
  • Use Steadyfetch to fetch markdown.
  • Use Steadyfetch to check domain.

Frequently asked questions

It connects Steadyfetch to MCP-compatible AI assistants such as Claude and Cursor, exposing 5 tools (fetch_url, fetch_markdown, check_domain, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Steadyfetch directly.