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Local Faiss

github.com/nonatofabio/local_faiss_mcp official repository

MCP server providing local vector database functionality using FAISS for RAG applications. Enables semantic search and document ingestion for AI agents without…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Local Faiss

MCP server providing local vector database functionality using FAISS for RAG applications. Enables semantic search and document ingestion for AI agents without…

Agentery has not yet captured structured capability detail for this provider.

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Local Faiss good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

View the full niche →

Comparable RAG Pipeline Platform

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "local_faiss_mcp",
  "name": "Local Faiss",
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  "logo": "https://github.com/nonatofabio.png?size=200",
  "niche": "rag-pipeline-platform",
  "category": "developer-tools-infra",
  "short_summary": "MCP server providing local vector database functionality using FAISS for RAG applications. Enables semantic search and document ingestion for AI agents without…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-07-26T05:40:09.401Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/nonatofabio/local_faiss_mcp"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/nonatofabio/local_faiss_mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 684,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:35:22.349Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}