GitBook MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GitBook as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to GitBook. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in GitBook?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About GitBook MCP Server
Connect your GitBook account to any AI agent and take full control of your technical documentation, knowledge sharing, and docs-as-code workflows through natural conversation.
LlamaIndex agents combine GitBook tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Organization & Space Orchestration — List all organizations and spaces mapped to your GitBook profile to retrieve identifiers and browse your documentation hierarchy natively
- Page & Content Discovery — Extracts the full pages hierarchy from any space and reads entire document pages to retrieve technical information flawlessly
- Semantic & Keyword Search — Execute cross-page search operations inside your GitBook namespaces to find matching snippets and relevant content using natural language
- Collection Management — List collections that group multiple spaces, identifying how different product documentations are organized across your organizations securely
- Space Metadata Auditing — Fetch detailed metadata about specific spaces to verify visibility, access rules, and structural configurations synchronously
- User Profile Oversight — Extract authenticated profile metadata including name and email to verify permission limits and account contexts natively
- Knowledge Base Navigation — Analyze specific localized variables decoding active documentation routes and extracting structural constraints from your GitBook environment
The GitBook MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GitBook to LlamaIndex via MCP
Follow these steps to integrate the GitBook MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from GitBook
Why Use LlamaIndex with the GitBook MCP Server
LlamaIndex provides unique advantages when paired with GitBook through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GitBook tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GitBook tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GitBook, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GitBook tools were called, what data was returned, and how it influenced the final answer
GitBook + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GitBook MCP Server delivers measurable value.
Hybrid search: combine GitBook real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GitBook to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GitBook for fresh data
Analytical workflows: chain GitBook queries with LlamaIndex's data connectors to build multi-source analytical reports
GitBook MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect GitBook to LlamaIndex via MCP:
get_me
Get authenticated user info
get_page
Get page content
get_space
Get space details
list_collections
List collections in an organization
list_organizations
List all organizations
list_pages
List pages in a space
list_spaces
List spaces in an organization
search_content
Search content in a space
Example Prompts for GitBook in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GitBook immediately.
"List all spaces in organization 'org_123'"
"Search my GitBook for 'authentication flow'"
"Show me the page hierarchy for space 'User-Guide'"
Troubleshooting GitBook MCP Server with LlamaIndex
Common issues when connecting GitBook to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGitBook + LlamaIndex FAQ
Common questions about integrating GitBook MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect GitBook with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GitBook to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.