mcpbeat

SteadyFetch MCP Server

io.github.carsonroell-debug/steadyfetch
answering

SteadyFetch is answering right now. Last checked 11 min ago. 34 installs a week from pypi. It exposes 5 tools.

Reliable web fetching for AI agents with retry, circuit breaker, caching, and anti-bot bypass

Installs per day peak 27 · avg 8 · -24% w/w
a month agotoday
Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
212 ms
Response time
average over 24h
34
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add steadyfetch --transport http https://steadyfetch-production.up.railway.app/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "steadyfetch": {
      "url": "https://steadyfetch-production.up.railway.app/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.steadyfetch]
url = "https://steadyfetch-production.up.railway.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "steadyfetch": {
      "url": "https://steadyfetch-production.up.railway.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "steadyfetch": {
      "url": "https://steadyfetch-production.up.railway.app/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

cache
cache_stats
Get cache statistics — size and item count. Useful for monitoring cache utilization and deciding when to clear.
clear
clear_cache
Clear the entire fetch cache. Use when you need fresh data and don't want to rely on cached results.
domain
check_domain
Check the health status of a domain. Returns the circuit breaker state: 'closed' (healthy), 'open' (failing), or 'half_open' (testing recovery). Use this before batch operations to avoid wasting time on domains that are down. Args: domain: The domain to check (e.g., 'example.com')
markdown
fetch_markdown
Fetch a URL and return clean markdown text optimized for LLM consumption. Same reliability as fetch_url but returns only the markdown content, stripping HTML, scripts, and noise. Best for when you need the page content for analysis, summarization, or data extraction. Args: url: The URL to fetch use_cache: Whether to use cached results (default: true) wait_for: CSS selector to wait for before capturing
url
fetch_url
Fetch a URL with full reliability — retry, circuit breaker, cache, and anti-bot bypass. Returns both raw HTML and clean markdown. Automatically retries on failure with exponential backoff, falls back to plain HTTP if browser fetch fails, and circuit-breaks domains that are consistently down. Args: url: The URL to fetch use_cache: Whether to use cached results (default: true, TTL 1 hour) js_render: Whether to render JavaScript (default: true, disable for speed) wait_for: CSS selector to wait for before capturing (e.g., '.results-loaded')

Endpoints

URLTransportStateLatencyChecked
https://steadyfetch-production.up.railway.app/mcp streamable-http answering 223 ms 11 min ago

SteadyFetch — questions

Answers built from our own checks of this server.

What can SteadyFetch do?
It exposes 5 tools, read directly from the server on our last check. Among them: cache_stats, check_domain, clear_cache, fetch_markdown, fetch_url. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is SteadyFetch working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 212 ms. The bar chart above shows every period we have measured.
How do I connect SteadyFetch?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does SteadyFetch need an API key?
No. SteadyFetch completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is SteadyFetch?
It answers our handshake in 212 ms on average, which is faster than 60% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use SteadyFetch?
The pypi package steadyfetch was installed 34 times in the last week. Week over week that is -24%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.