SteadyFetch
Give coding agents dependable HTTP fetches with retries, caching, circuit breaking, and anti-bot handling for research and build automations.
Overview
SteadyFetch is a MCP server for the Build phase that fetches web content for agents with retries, circuit breaking, caching, and anti-bot bypass.
What is this MCP server?
- Retry and circuit breaker patterns for unstable targets
- Caching to cut duplicate fetches during long agent tasks
- Anti-bot bypass for pages that block naive scrapers
- Dual access: PyPI stdio package steadyfetch v0.1.1 plus remote streamable-http endpoint
- Designed explicitly for AI agent web retrieval workflows
- Server version 0.1.1; PyPI identifier steadyfetch
- 2 transports: stdio package and remote streamable-http at Railway /mcp
- 4 resilience features documented: retry, circuit breaker, caching, anti-bot bypass
What problem does it solve?
Agent web fetches fail unpredictably on bot walls and flaky hosts, so research and integration tasks burn time repeating the same broken requests.
Who is it for?
Indie developers building agent workflows that must read documentation, competitors, or dynamic sites without hand-rolling fetch retry logic.
Skip if: Teams that only need first-party API clients with stable contracts and no HTML scraping concerns.
What do I get? / Deliverables
After registering stdio or the remote HTTP MCP endpoint, your agent gets more consistent page retrieval with resilience and cache-friendly repeat reads.
- Stable retrieved web content inside agent context
- Fewer failed fetches via retry and circuit breaker
- Lower duplicate traffic when caching applies
Recommended MCP Servers
Journey fit
Build is the canonical shelf because reliable fetching is foundational when wiring agents to external sites and APIs during implementation. Integrations subphase reflects MCP as the glue between your agent and the public web under real-world failure and bot-defense conditions.
How it compares
Resilient web fetch MCP for agents, not a site-wide SSL/DNS audit or MCP server proxy.
Common Questions / FAQ
Who is steadyfetch for?
It is for builders using MCP agents who need dependable HTTP/HTML retrieval when sites throttle, block, or intermittently fail simple requests.
When should I use steadyfetch?
Use it during research spikes, integration prototyping, or any agent task that repeatedly hits external URLs and currently fails on timeouts or anti-bot pages.
How do I add steadyfetch to my agent?
Either install the PyPI package steadyfetch for stdio MCP, or configure the remote streamable-http URL https://steadyfetch-production.up.railway.app/mcp in clients that support hosted MCP.