
GenPark Tri-State Circuit Breaker Router
io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 26, 2026
Tri-state circuit breaker router managing LLM provider failure cascades, sliding error windows, and
The publisher's own server: 370.ai — AI Gateway: 100+ Chat Models, Image & Speech Generation
Overview
A local MCP server that routes LLM provider calls through a tri-state circuit breaker with sliding error windows and half-open probes.
- What you can do
- Manage LLM provider failure cascades by routing requests through a tri-state circuit breaker.
- Track errors over sliding windows and run half-open probes to decide when a failing provider recovers.
- Run it as a local MCP server or import it as a Python library in agent workflows.
- No tool list is published, so the exact callable operations are not documented in the supplied material.
- When to use it
- Worth adding when an assistant or agent pipeline calls several LLM providers and you want failing ones skipped automatically instead of retried blindly. It suits setups that need resilience logic around provider outages rather than a general-purpose tool server.
- Requirements
- Runs as a local process over stdio, started with a Python script; the README states it uses only the Python standard library, so no third-party packages are needed. No authentication, environment variables or headers are declared. Desktop-only; not executable on the web.
Installation
In SourceWeft
- Open GenPark Tri-State Circuit Breaker Router in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
GenPark Tri-State Circuit Breaker Router
[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]
Tri-state circuit breaker router managing LLM provider failure cascades, sliding error windows, and half-open probes.
Part of the GenPark AI Agent Skills Ecosystem.
🌟 Key Features
- 100% Python Standard Library: Zero third-party runtime dependencies.
- MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
- Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.
🚀 Installation & Usage
Run as an MCP server:
Use directly as a library:
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Source: README.md at commit d3850e4
Tools
0Version history
1- v1.0.1LatestOct 20, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.
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