GetKin MCP Server
Monitors real-time availability and latency for Google's API, and can route chat completions through its proxy.
Monitors real-time availability and latency for Meta's models (via Together AI), and can route chat completions through its proxy.
Monitors real-time availability and latency for OpenAI's API, and can route chat completions through its proxy.
Supports x402 payments via Solana USDC for paid tools such as compress_memory and check_availability.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
GetKin MCP Server
Agent infrastructure that runs itself. One MCP server, six tools.
Tools
Tool | Description | Price |
| Get the optimal LLM for any task across 17 models and 6 providers | Free |
| Real-time availability and latency for LLM provider APIs | $0.005 USDC |
| Route chat completions through GetKin's proxy (OpenAI-compatible) | 3% margin |
| Compress session dumps into structured 3-tier memory | First 5 free, then $0.03 USDC |
| List all available models with current pricing | Free |
| Check free tier compression usage for an agent | Free |
Related MCP server: hyre-mcp
Installation
Connect to the GetKin MCP server using any MCP-compatible client:
{
"mcpServers": {
"getkin": {
"url": "https://getkin-mcp.fly.dev/mcp"
}
}
}Usage
Once connected, your agent has access to all six tools. The recommend_model tool is free and requires no payment — use it to find the cheapest or fastest model for any task.
Paid tools use x402 payments via Solana USDC. The compress_memory tool includes 5 free compressions per agent.
Providers Monitored
Anthropic, OpenAI, Google, Mistral, DeepSeek, Meta (via Together AI)
Links
Portal: https://getkin.io
MCP Endpoint: https://getkin-mcp.fly.dev/mcp
Smithery: https://smithery.ai/server/getkin/agent-infrastructure
License
MIT
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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This server cannot be deployed
Maintenance
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