Verba MCP, Ready to Go
Connect your Verba RAG platform to Claude or Cursor. Use this MCP to query your Weaviate knowledge base and manage documents via AI agents.
No credit card required. Experience the power of this integration risk-free.
Query and manage your Weaviate knowledge base with semantic search.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Verba MCP Server?
Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Verba 6-tool Weaviate RAG knowledge base
Manage your Verba RAG data, query your knowledge base, and check system health using 6 direct tools.
Get system config
Check your current Verba setup details. This lets you see which embedding models are active and how the system is performing.
Add knowledge document
Add new content into your knowledge base. You can include metadata to keep your data organized.
Delete knowledge document
Remove a specific document from your index. Use this to prune dead knowledge permanently.
Get document details
Show the full content and metadata for a single document. This helps you verify what the agent actually sees.
List knowledge documents
List every document your base currently holds. It's the fastest way to get an overview of your indexed files.
Perform rag query
Execute a RAG query against your knowledge base. It returns summarized answers with citations.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Verba MCP for Weaviate RAG knowledge base
This is for people who are tired of manual data entry and want to interact with their private knowledge base using natural language. It's for the person who needs to find facts in a 500-page manual without scrolling.
RAG Developer
Testing embedding fidelity by adding and deleting text chunks during a coding session.
Knowledge Manager
Querying technical manuals to find verified snippets for internal wikis.
Data Engineer
Monitoring cluster health and system configurations via chat instead of logs.
Frequently Asked Questions
Can Verba help me search my own private documents? +
Yes, it connects your agent to your private Verba RAG platform. You can search your own files and get answers based only on that data.
Does Verba work with my existing Weaviate database? +
Yes, it's designed to work with your Verba instance which runs on Weaviate. It lets your agent interact with that specific knowledge base.
Can I add new info to my knowledge base through chat? +
You can use the add_knowledge_document tool. Just tell your agent what to add and it will handle the ingestion for you.
How do I know if the agent is giving me real info? +
The perform_rag_query tool provides citations. This means your agent will show you exactly which document it used to generate the answer.
Can I remove old documents from the search results? +
Yes, you can use the delete_knowledge_document tool. This allows you to keep your knowledge base clean by removing outdated information.
Is it hard to set up Verba for my AI agent? +
It's straightforward. You just need a running Verba instance, an API URL, and an API Key to get started.
Can I query my local Verba instance directly through Cursor? +
Yes! Once you configure VERBA_API_URL to point to http://localhost:8000 (or your host port), you can prompt your AI assistant to execute rigorous perform_rag_query instructions without ever breaking your developer focus.
How do I insert fresh text data into Verba completely using conversational chat? +
Provide the agent with your desired context directly. For example: Add this chunk of markdown as a new document to Verba: '# Title Content...'. The agent leverages addDocumentTool, serializes the payload, and commits it into Verba's vector store immutably.
Are the query answers backed by citations from its embedded documents? +
Absolutely. That's the primary benefit of the integration. When you run perform_rag_query, Verba utilizes Weaviate's hybrid search mechanics. The output explicitly includes natural language synthesis backed by the unique document IDs and snippet texts it referenced.
Your AI, connected to everything.
No credit card required · Free tier available
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