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io.github.infino-ai/mcp-server

io.github.infino-ai/mcp-serverv0.7.0Memory & RAG

Keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.

In-path gate · all MCP tools

Using io.github.infino-ai/mcp-server in Claude, Cursor, Gemini CLI, Cline, or Zed?

MCP tool contracts can change remotely with no version bump. The mcpindex gate pins each contract and HOLDs the call when it drifts-before your agent acts. Zero credentials. This is not the package install for this server itself (use Install this server for that).

Install the mcpindex gate (one command)

Rewrites your MCP host config so each server launches behind the gate. Inspect first: curl -fsSL https://mcpindex.ai/install.sh | less

uv tool install mcpindex-gate && mcpindex-config-wire
Trust verdict · v1 advisory · method
REVIEWstatus: PARTIALfresh until 2026-08-24 03:03 UTC
screened 2026-07-25tier: scannedgranularity: description-levelsource: registry

Semantic screen found no manipulation pattern in the description. Conformance probe not yet run.

mcpindex.integrity.descriptionpassINFO

evidenceNo malicious instructions foundvia static_description

Limits of this verdict
  • - Semantic screen only - the deterministic conformance probe has not run on this server
  • - Confidence is reported but not yet calibrated (v1)
  • - Screen reads the tool description, not the live behavior
  • - advisory
  • - registry description only no input schema
  • - screen model 8b
  • - The registry listing (version, packages, links) changed after this screen ran - the description we assessed did not

Semantic screen: an LLM judge reads the tool description for hidden instructions (status PARTIAL). A pass means the description is not lying, not that the tool is safe: a high-capability tool with an honest description still warrants caution. The deterministic conformance probe has not been run on this server yet, so the screen here is semantic-only. Posture: advisory. Confidences are reported but not yet calibrated (calibrated=false at v1). Full verdict history is not shown on this page.

Own this server? Screen its description →

That verdict was true at screening time (snapshot 2026-08-07).

Contracts can change after screening, with no version bump. The gate pins io.github.infino-ai/mcp-server’s tool contracts on first sight and holds any silent change before your agent acts - the check that keeps being true on Tuesday.

See your first HOLD in 2 minutes →

Related: how to trust an MCP server · screen before install · silent contract drift

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A live verdict badge for your README or listing. It reflects the current screen, links back here, and updates when the verdict does.

Markdown
[![mcpindex](https://mcpindex.ai/api/v1/badge/io-github-infino-ai-mcp-server)](https://mcpindex.ai/server/io-github-infino-ai-mcp-server)
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<a href="https://mcpindex.ai/server/io-github-infino-ai-mcp-server"><img src="https://mcpindex.ai/api/v1/badge/io-github-infino-ai-mcp-server" alt="mcpindex verdict" height="20" /></a>
Environment variables
INFINO_MCP_URI

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.

INFINO_API_KEY

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.

INFINO_MCP_ENABLE_WRITES

Set (1/true/yes) to expose add/update/delete tools and allow DDL/DML through SQL. Read-only when unset.

INFINO_MCP_EMBED_PROVIDER

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.

INFINO_MCP_EMBED_BASE_URL

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.

INFINO_MCP_EMBED_API_KEY

API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.

INFINO_MCP_EMBED_MODEL

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.

INFINO_MCP_VALIDATE

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.

MCP quality score · maturity, not trust · methodology
freshness
25
completeness
10
installability
25
documentation
15
stability
5
Alternatives in Memory & RAG