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Implements proper async context management to ensure Logfire client is available for all tool invocations and cleaned up on shutdown.","intents":["I want to run Logfire as an MCP server that my editor can connect to","I need reliable connection management between my MCP client and Logfire API","I want to ensure the Logfire client is properly initialized before tools are called"],"best_for":["MCP client developers integrating Logfire tools","DevOps teams deploying Logfire MCP as a service","Developers extending logfire-mcp with additional tools"],"limitations":["Stdio transport limits to single client connection per server instance","No built-in clustering or load balancing — each client needs separate server process","Lifespan context requires async runtime — cannot run in synchronous-only environments","Tool registration is static at startup — cannot dynamically add/remove tools"],"requires":["Python 3.11+","FastMCP framework (included in dependencies)","Logfire read token for AsyncLogfireQueryClient initialization","MCP-compatible client with stdio transport support"],"input_types":["MCP tool invocation requests (JSON-RPC)"],"output_types":["MCP tool responses (JSON-RPC)","server status and error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-logfire__cap_6","uri":"capability://tool.use.integration.logfire.api.authentication.and.token.resolution","name":"logfire api authentication and token resolution","description":"Implements multi-source token resolution that checks command-line arguments, environment variables, and .env files to obtain Logfire read tokens. 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