Bring Rag
to Claude Desktop
Create your Vinkius account to connect R2R to Claude Desktop and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the R2R MCP Server?
Connect your R2R (Rag to Riches) deployment to an AI agent, bringing your RAG infrastructure inside your chat interface. By linking this server, the AI can query its own constructed knowledge base on demand.
What you can do
- Vector Search — Perform semantic similarity queries across your document database to retrieve contextually relevant chunks of information.
- Execute RAG Queries — Use the 'rag_query' endpoint to have the R2R server directly summarize information based on vector data.
- Knowledge Management — Call the API to list ingested documents, read metadata attributes, and filter logical collections.
- Instance Health Monitoring — Quickly ping the connection using health checks to verify your system is responsive.
How it works
- Enable the server integration.
- Provide your active R2R Base URL and Auth Key (if applicable).
- Trigger RAG requests natively within your supported chat interfaces.
Who is this for?
- AI & ML Engineers — Query your vector instances locally without needing Postman or external scripts.
- Data Custodians — Quickly verify document ingestions and browse metadata directly inside the terminal.
- Backend Developers — Audit engine responses and fine-tune semantic retrieval limits easily.
Built-in capabilities (6)
Retrieves details for a specific document
Checks the health status of the R2R server
Lists all document collections
Lists all ingested documents in the R2R system
Executes a RAG (Retrieval-Augmented Generation) query
Performs a vector search across ingested documents
Why Claude Desktop?
Claude Desktop is the definitive way to connect R2R to your AI workflow. Add Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 6 tools in the chat interface. ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.
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Claude Desktop is the reference MCP client. it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available
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Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface
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Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions
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Enterprise-grade security with local config storage. your tokens never leave your machine, and connections go directly to Vinkius Edge network
R2R in Claude Desktop
Why run R2R with Vinkius?
The R2R connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect R2R using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
R2R and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect R2R to Claude Desktop through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
R2R for Claude Desktop
Every request between Claude Desktop and R2R is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What URL should I use for the R2R API URL?
If you are running R2R locally via Docker, it's typically http://localhost:7272. If you are using SciPhi Cloud or have it deployed on your own infrastructure, provide the exact public or private endpoint.
Do I need an R2R API Key?
It depends on your deployment. Open deployments for local testing may not require a key. Production deployments or SciPhi Cloud environments require you to provide the generated key.
What is the difference between RAG and Search?
The search tool issues a standard vector similarity match—it returns relevant raw snippets from your database. The rag_query tool asks the R2R server to perform the search and compute an intelligent answer wrapping those snippets using an LLM.
Are document ingestions possible via chat?
No. This integration is designed for observational toolsets (listing documents, inspecting states, querying the index). Heavy ingestions of PDFs or websites should be handled through scripts or the dashboard.
How does Claude Desktop discover MCP tools?
When Claude Desktop starts, it reads the claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.
What happens if the MCP server is temporarily unavailable?
Claude Desktop handles disconnections gracefully. if the server is unreachable at startup, the tools simply won't appear. Once the server becomes available again, restarting Claude Desktop will re-establish the connection. There is no timeout penalty or error loop.
Can I connect multiple MCP servers simultaneously?
Yes. You can add as many servers as you need in the mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.
Is there a limit on the number of tools per server?
Claude Desktop can handle hundreds of tools per server. However, for optimal LLM performance, Vinkius servers are designed to expose focused, well-documented tool sets rather than overwhelming the model with too many options.
Does Claude Desktop support Streamable HTTP transport?
Yes. Claude Desktop supports both SSE (Server-Sent Events) and the newer Streamable HTTP transport that Vinkius uses. Simply provide the server URL. Claude auto-negotiates the transport protocol.
Server not appearing after restart
Ensure the JSON is valid (no trailing commas). Check the file path: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).
Authentication error
Verify your Vinkius token is correct. Go to cloud.vinkius.com to regenerate it if needed.
Tools not showing in chat
Click the 🔌 icon at the bottom of the chat input. If it shows 0 tools, the server may still be connecting. wait a few seconds.
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