Enables AI agents to perform keyword, semantic, hybrid, and SQL retrieval over data stored on object storage or local paths, using a local embedding model without requiring an API key.
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process.env. You'll be asked to provide them before it can run.AWS_ACCESS_KEY_ID— AWS S3 , AWS_SECRET_ACCESS_KEY (+ AWS_SESSION_TOKEN, AWS_REGION if used)AWS_ENDPOINT_URL— S3-compatible (R2/MinIO/B2) AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY andAWS_REGION— AWS S3 AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY (+ AWS_SESSION_TOKEN, if used)AWS_SECRET_ACCESS_KEY— AWS S3 AWS_ACCESS_KEY_ID, (+ AWS_SESSION_TOKEN, AWS_REGION if used)AWS_SESSION_TOKEN— AWS S3 AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY (+ , AWS_REGION if used)AZURE_STORAGE_ACCOUNT— Azure Blob , AZURE_STORAGE_KEYAZURE_STORAGE_KEY— Azure Blob AZURE_STORAGE_ACCOUNT,INFINO_MCP_EMBED_API_KEY— No — API key for the openai provider. Sent as both Authorization: Bearer and api-key, so one value works for OpenAI and Azure OpenAI. Omit to call an unauthenticated or ambient-identity endpoint.INFINO_MCP_EMBED_BASE_URL— With openai — Base URL of the OpenAI-compatible embeddings API, e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1. The server POSTs to <base>/embeddings.INFINO_MCP_EMBED_MODEL— "": "text-embedding-3-small"INFINO_MCP_EMBED_PROVIDER— "": "openai",INFINO_MCP_ENABLE_WRITES— Add more knobs with repeated -e flags, e.g. -e =true. Verify with:INFINO_MCP_URI— "": "/Users/me/.infino/memory"INFINO_MCP_VALIDATE— No _off_ When set (1/true/yes), probes the object store at startup so bad credentials or an unreachable bucket fail then instead of on the first search.[](https://m8ven.ai/mcp/infino-ai-infino-mcp-14dxod)