MCP Docs RAG
RAG MCP server for documents using Gemini
- Status
- UnmaintainedNo commits in 544 days.
- Last checked
- Checked · Oct 10, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
A Retrieval-Augmented Generation (RAG) framework that leverages the Gemini model to provide document-based retrieval and generation capabilities, suitable for developers looking to integrate advanced AI-driven content retrieval into their applications.
Provides a flexible, self-hosted RAG solution leveraging the Gemini model, offering developers full control over their AI-driven content retrieval and generation processes.
When it fits — and when it doesn’t
A good fit for
Teams looking to integrate advanced document retrieval and generation capabilities into their web or server-side applications using the Gemini model.
Developers who need a self-hosted solution for RAG without relying on cloud services.
Look elsewhere if
Projects requiring real-time streaming capabilities as this tool is designed for batch processing
Teams with limited technical expertise in setting up and maintaining self-hosted solutions
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Performance issues with large-scale deployments
Known performance bottlenecks when handling large document sets, leading to increased latency
What it does well
Integration with Gemini model for document retrieval and generation
Self-hosted deployment flexibility
Modular architecture for customization
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up MCP Docs RAG
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for MCP Docs RAG’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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