
Agentic-RAG-MCP
Local-first RAG retrieval engine exposed through MCP for agentic coding tools and other MCP clients. Ingests documents and code, stores embeddings locally, and…
What it does
The specific capability behind this listing, and where to get it.
Agentic-RAG-MCP
Local-first RAG retrieval engine exposed through MCP for agentic coding tools and other MCP clients. Ingests documents and code, stores embeddings locally, and…
Agentery has not yet captured structured capability detail for this provider.
Official Agentic-RAG-MCP links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Agentic-RAG-MCP good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
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.
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.
Agentic-RAG-MCP's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "agentic_rag_mcp",
"name": "Agentic-RAG-MCP",
"url": "https://github.com/akshayvarala/Agentic-rag-mcp",
"logo": "https://github.com/akshayvarala.png?size=200",
"niche": null,
"category": null,
"short_summary": "Local-first RAG retrieval engine exposed through MCP for agentic coding tools and other MCP clients. Ingests documents and code, stores embeddings locally, and…",
"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": "No public price found",
"summary": "No public pricing is shown; this is an open-source, local-first RAG project.",
"confidence": "medium",
"source_url": "https://github.com/akshayvarala/Agentic-rag-mcp",
"checked_at": "2026-11-04T00:05:59.417Z",
"source_kind": "vendor",
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"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/akshayvarala/Agentic-rag-mcp"
],
"last_checked": "2026-11-04",
"profile_checked": null,
"price_checked": "2026-11-04",
"how_to_connect": {
"website": "https://github.com/akshayvarala/Agentic-rag-mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": "git clone https://github.com/akshayvarala/Agentic-rag-mcp.git cd Agentic-rag-mcp pip inst",
"repository": "https://github.com/akshayvarala/agentic-rag-mcp"
},
"deployment": {
"model": "self_hosted",
"both_offered": false,
"hosted_endpoint": null,
"install": "git clone https://github.com/akshayvarala/Agentic-rag-mcp.git cd Agentic-rag-mcp pip inst",
"note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
"evidence": {
"sources": [
"page_text:install",
"page_text:licence"
],
"excerpt": "onverter, chunker, embeddings, vector store, reranker, LLM all swappable Quick Start git clone https://github.com/akshayvarala/Agentic-rag-mcp.git cd Agentic-rag-mcp pip",
"url": "https://github.com/akshayvarala/Agentic-rag-mcp",
"observed_day": "2026-11-03",
"age_days": 2,
"hosted_evidence": null,
"rule": "deploy-v1"
}
},
"licence": {
"name": "MIT",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "page text: \"c environments via MCP Resources Readme MIT license Activity Stars 0 stars Watch\"",
"observed_day": "2026-11-03",
"age_days": 2
},
"evidence_checks": {
"price": {
"source_url": "https://github.com/pricing",
"last_observed_day": "2026-09-20",
"age_days": 46,
"verified_day": null,
"note": "not verified by the page-text gate"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"price_reading": {
"status": "not_fingerprinted",
"as_of": "2026-11-04",
"page_captured": "2026-11-04",
"reading_made_from_capture": null,
"reading_coverage": null,
"changed_since_reading_observed": null,
"summary": "Price comes from an earlier reading; the date it was read is not recorded.",
"last_valid_observation": "2026-09-20",
"review_status": "not_reviewed"
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 277,
"uptime_7d": 1,
"checked_at": "2026-11-04T02:30:50.303Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}