Docs API

Knowledge base as an MCP server

The Model Context Protocol (MCP) is an open standard that lets AI clients use tools from external systems. vragen.ai makes your knowledge base available as an MCP server, so a client such as Claude can search your knowledge base and read documents on its own. This lets you use your own, reliable content as a source within an AI assistant, without building a custom integration for it.

Endpoint

The MCP server runs on your own subdomain and uses HTTP as transport:

https://{klant}.vragen.ai/mcp/knowledge-base

Authentication

The server works with an API token that you create and manage in your vragen.ai environment. You pass it as a Bearer token, just like with the REST API.

Available tools

The server offers an AI client the following tools:

  • Search the knowledge base: a semantic search of your knowledge base, so the client can retrieve relevant passages.
  • Read a document: read (parts of) a found document to substantiate the full answer.
  • Retrieve filters and facets (depending on your configuration): retrieve the available filters and their values, so the client can search more precisely.

Connecting

In your MCP client, add a server with the endpoint URL above and your API token as a Bearer token. The client then discovers on its own which tools are available. Before going live, you can test the connection with an MCP client or an MCP inspector.

Support

Stuck? Email our support team at service@vragen.ai.

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What exactly is vragen.ai?

Example answer by vragen.ai

vragen.ai lets visitors ask their question on your website and gives them a reliable answer straight from your own content, with the source included. You decide which sources the AI uses.

Source: How it works

This is an example. The interactive widget could not load here, for instance because of a script blocker or a slow connection.

You are asking an AI assistant from vragen.ai. Answers come from our own content, with the source included. Why we mention this (Dutch)