How to Use the GitBook MCP in LlamaIndex

Q: Can I filter sensitive GitBook spaces in LlamaIndex?

Use the allowedtools filter in your client setup. This limits which spaces the agent can actually access.

Connect GitBook to LlamaIndex to build a searchable knowledge base grounded in your actual technical docs.

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Connect GitBook MCP to LlamaIndex

Create your Vinkius account to connect GitBook to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GitBook with LlamaIndex

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Index GitBook docs with LlamaIndex

This MCP server feeds page content directly into your vector store. Your agent uses `get_page` to pull the latest text for indexing. It keeps your RAG application grounded. Because it pulls from live sources, your answers reflect the current state of your documentation.

Organize GitBook spaces for retrieval

Use `list_spaces` and `list_collections` to define which parts of your documentation the agent should index. It builds a map of your structure. This makes your search results more precise. The agent knows exactly where to look when a user asks a technical question.

Query GitBook data with LlamaIndex

The `search_content` tool allows your agent to perform targeted lookups. It finds relevant pages and feeds them into the context window. It avoids hallucination by pulling raw data. You get answers based on your actual text rather than generic training data.

Setup guide

Set up GitBook MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all GitBook MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to GitBook tools.",
)
response = await agent.run("List recent GitBook data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GitBook. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about GitBook MCP in LlamaIndex

Pass the MCP tools into your tool list. The agent will fetch page content and feed it into your vector index.

Yes. Use the list tools to iterate through your spaces and collections before you run the ingestion process.

You need to trigger re-indexing routines. The MCP server provides the latest data, but the vector store requires an update command.

Use the allowed_tools filter in your client setup. This limits which spaces the agent can actually access.

All traffic stays between your local environment and the GitBook API. We don't store your page text or organization metadata.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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