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Pool API keys for MCP servers with rate-limit distribution and automatic failover.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-pool" yet — see the docs or source repo.
Help me design an API key pool for an upstream MCP service. I want requests distributed across five keys, with automatic failover to other available keys when one key is rate-limited or returns errors. Provide the configuration approach and validation checklist.
A key-pool setup plan explaining request distribution, rate-limit and error failover handling, and how to verify failover behavior.
Our upstream MCP service often fails because a single API key hits rate limits. Explain how to use mcp-pool to reduce this risk and list the key behaviors we should observe.
A troubleshooting and optimization guide focused on how multi-key distribution and automatic failover improve stability.
Assess whether mcp-pool is suitable to sit in front of our MCP call path. Our main needs are spreading API rate-limit pressure and avoiding service interruption when the upstream returns errors. Provide fit criteria and potential benefits.
A fit assessment describing the problems it solves, when it is appropriate, and the expected stability benefits.
Developers or DevOps teams can use it when sending many requests to the same upstream MCP service, distributing traffic across multiple API keys to reduce the chance of hitting limits on any single key.
When one API key is rate-limited or the upstream returns errors, it can automatically fail over to other available keys to help reduce interruptions.
It is an MCP tool that pools multiple API keys for upstream MCP servers. Its main purpose is to distribute rate limits and automatically fail over when rate limiting or errors occur.
Based on the provided information, it at least requires multiple API keys for the upstream MCP service. For installation steps, runtime requirements, or configuration details, see the source repository.
A single key is more likely to fail when it hits rate limits or encounters errors, while this tool distributes requests across multiple keys and automatically fails over on issues. That makes it better suited for scenarios that need higher reliability.
Lease and reclaim test accounts to avoid concurrent session collisions.
Manages an authorized proxy pool for security testing.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Aggregate multiple MCP servers into one for search, parallel calls, and orchestration.
Manage multiple MCP servers and load tool schemas on demand efficiently.
Proxy and manage multiple MCP servers through one endpoint with namespaces.