SteadyFetch is an MCP (Model Context Protocol) server by carsonroell-debug in the Autonomous Agents category. Reliable web fetching for AI agents with retry, circuit breaker, caching, and anti-bot bypass

How do I connect SteadyFetch to Claude, Cursor, or another MCP client?

SteadyFetch is a remote MCP server — add its endpoint (https://steadyfetch-production.up.railway.app/mcp) to your client's MCP configuration (for example with "claude mcp add", or under "mcpServers" in Cursor's mcp.json) and restart the client.

Is SteadyFetch open source?

Yes — the source code is public at github.com/carsonroell-debug/steadyfetch.

Can AI agents pay to use SteadyFetch?

Not yet through Loomal — SteadyFetch is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.

SteadyFetch

MCP server by github.com/carsonroell-debug/steadyfetch

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

0 starspypi: steadyfetchRemote-capable

About SteadyFetch

SteadyFetch is an MCP (Model Context Protocol) server published by carsonroell-debug in the official MCP registry, listed under Autonomous Agents on Loomal. Reliable web fetching for AI agents with retry, circuit breaker, caching, and anti-bot bypass

SteadyFetch runs as a hosted remote over streamable-http — MCP clients connect directly to its endpoint, with nothing to install locally. It also ships as a Python package on PyPI (steadyfetch), so any MCP client that can launch a local process can run it.

Development happens in the open at github.com/carsonroell-debug/steadyfetch.

Use SteadyFetch with your agent

Claude Code · one command

claude mcp add --transport http steadyfetch https://steadyfetch-production.up.railway.app/mcp

Claude Desktop, Cursor & other MCP clients · config

{
  "mcpServers": {
    "steadyfetch": {
      "url": "https://steadyfetch-production.up.railway.app/mcp"
    }
  }
}

streamable-httphttps://steadyfetch-production.up.railway.app/mcp

pypisteadyfetch

Frequently asked questions

What is SteadyFetch?: SteadyFetch is an MCP (Model Context Protocol) server by carsonroell-debug in the Autonomous Agents category. Reliable web fetching for AI agents with retry, circuit breaker, caching, and anti-bot bypass
How do I connect SteadyFetch to Claude, Cursor, or another MCP client?: SteadyFetch is a remote MCP server — add its endpoint (https://steadyfetch-production.up.railway.app/mcp) to your client's MCP configuration (for example with "claude mcp add", or under "mcpServers" in Cursor's mcp.json) and restart the client.
Is SteadyFetch open source?: Yes — the source code is public at github.com/carsonroell-debug/steadyfetch.
Can AI agents pay to use SteadyFetch?: Not yet through Loomal — SteadyFetch is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.

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Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain SteadyFetch? Claim this listing free by verifying GitHub ownership, or contact us.