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Keyword, semantic, hybrid, and SQL retrieval for AI agents, local or on Infino Cloud.
io.github.infino-ai/mcp-server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.infino-ai/mcp-server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y @infino-ai/mcp-server@0.16.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-01T06:33:06.595321Z",
"publishedAt": "2026-10-01T06:33:06.595321Z",
"statusChangedAt": "2026-10-01T06:33:06.595321Z"
}
},
"server": {
"name": "io.github.infino-ai/mcp-server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.16.0",
"packages": [
{
"version": "0.16.0",
"transport": {
"type": "stdio"
},
"identifier": "@infino-ai/mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "INFINO_MCP_URI",
"format": "string",
"description": "Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created."
},
{
"name": "INFINO_API_KEY",
"format": "string",
"description": "API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections."
},
{
"name": "INFINO_MCP_EMBED_PROVIDER",
"format": "string",
"description": "Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set."
},
{
"name": "INFINO_MCP_EMBED_BASE_URL",
"format": "string",
"description": "Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings."
},
{
"name": "INFINO_MCP_EMBED_API_KEY",
"format": "string",
"description": "API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI."
},
{
"name": "INFINO_MCP_EMBED_MODEL",
"format": "string",
"description": "Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors."
},
{
"name": "INFINO_MCP_VALIDATE",
"format": "string",
"description": "Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search."
}
]
}
],
"repository": {
"url": "https://github.com/infino-ai/infino-mcp",
"source": "github"
},
"description": "Keyword, semantic, hybrid, and SQL retrieval for AI agents, local or on Infino Cloud."
}
}