BookStack (Wiki) MCP Server for LlamaIndexGive LlamaIndex instant access to 32 tools to Create Attachment, Create Book, Create Chapter, and more

Name: BookStack (Wiki)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BookStack (Wiki) 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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The BookStack (Wiki) MCP Server for LlamaIndex is a standout in the Collaboration category — giving your AI agent 32 tools to work with, ready to go from day one.

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python

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 BookStack (Wiki). "
            "You have 32 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in BookStack (Wiki)?"
    )
    print(response)

asyncio.run(main())

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* 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 BookStack (Wiki) MCP Server

Connect your BookStack instance to any AI agent and turn your documentation into an interactive knowledge base through natural conversation.

LlamaIndex agents combine BookStack (Wiki) tool responses with indexed documents for comprehensive, grounded answers. Connect 32 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

Content Hierarchy — List and manage shelves, books, chapters, and pages using list_shelves, list_books, and list_pages to maintain perfect organization.
Smart Search — Find exactly what you need across your entire wiki instance with the powerful search tool.
Full Content Lifecycle — Create, update, or delete pages and chapters directly from your agent to keep documentation fresh.
Multi-format Export — Use export_page to retrieve content in PDF, Markdown, HTML, or Plaintext formats for external use.
System Oversight — Monitor your instance with get_system_status, check list_audit_log for recent changes, or manage the list_recycle_bin.
Attachments — Manage file attachments linked to your documentation using the dedicated attachment tools.

The BookStack (Wiki) MCP Server exposes 32 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 32 BookStack (Wiki) tools available for LlamaIndex

When LlamaIndex connects to BookStack (Wiki) through Vinkius, your AI agent gets direct access to every tool listed below — spanning wiki, documentation, knowledge-base, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create attachment on BookStack (Wiki)

Create a new attachment link

create

Create book on BookStack (Wiki)

Create a new book

create

Create chapter on BookStack (Wiki)

Create a new chapter

create

Create page on BookStack (Wiki)

Requires either book_id or chapter_id, name, and html or markdown. Create a new page in BookStack

create

Create shelf on BookStack (Wiki)

Create a new shelf

delete

Delete attachment on BookStack (Wiki)

Delete an attachment

delete

Delete book on BookStack (Wiki)

Delete a book

delete

Delete chapter on BookStack (Wiki)

Delete a chapter

delete

Delete page on BookStack (Wiki)

Delete a page (moves to recycle bin)

delete

Delete shelf on BookStack (Wiki)

Delete a shelf

export

Export book on BookStack (Wiki)

Export book content

export

Export chapter on BookStack (Wiki)

Export chapter content

export

Export page on BookStack (Wiki)

Export page content

get

Get attachment on BookStack (Wiki)

Get details for a specific attachment

get

Get book on BookStack (Wiki)

Get details for a specific book

get

Get chapter on BookStack (Wiki)

Get details for a specific chapter

get

Get page on BookStack (Wiki)

Get details for a specific page

get

Get shelf on BookStack (Wiki)

Get details for a specific shelf

get

Get system status on BookStack (Wiki)

Check system version and status

list

List attachments on BookStack (Wiki)

List all attachments in BookStack

list

List audit log on BookStack (Wiki)

View system activity audit log

list

List books on BookStack (Wiki)

List all books in BookStack

list

List chapters on BookStack (Wiki)

List all chapters in BookStack

list

List pages on BookStack (Wiki)

Supports pagination, sorting, and filtering. List all pages in BookStack

list

List recycle bin on BookStack (Wiki)

List deleted items in the recycle bin

list

List shelves on BookStack (Wiki)

List all shelves in BookStack

action

Search on BookStack (Wiki)

Search across all content in BookStack

update

Update attachment on BookStack (Wiki)

Update an existing attachment

update

Update book on BookStack (Wiki)

Update an existing book

update

Update chapter on BookStack (Wiki)

Update an existing chapter

update

Update page on BookStack (Wiki)

Update an existing page

update

Update shelf on BookStack (Wiki)

Update an existing shelf

Connect BookStack (Wiki) to LlamaIndex via MCP

Follow these steps to wire BookStack (Wiki) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 32 tools from BookStack (Wiki)

Why Use LlamaIndex with the BookStack (Wiki) MCP Server

LlamaIndex provides unique advantages when paired with BookStack (Wiki) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine BookStack (Wiki) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain BookStack (Wiki) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query BookStack (Wiki), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what BookStack (Wiki) tools were called, what data was returned, and how it influenced the final answer

BookStack (Wiki) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the BookStack (Wiki) MCP Server delivers measurable value.

Hybrid search: combine BookStack (Wiki) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query BookStack (Wiki) 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 BookStack (Wiki) for fresh data

Analytical workflows: chain BookStack (Wiki) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for BookStack (Wiki) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with BookStack (Wiki) immediately.

"Search my BookStack wiki for 'security policy'."

"Create a new page titled 'Onboarding' in book ID 5 with some basic HTML content."

"Export the 'API Reference' page (ID: 88) as a PDF."

Troubleshooting BookStack (Wiki) MCP Server with LlamaIndex

Common issues when connecting BookStack (Wiki) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BookStack (Wiki) + LlamaIndex FAQ

Common questions about integrating BookStack (Wiki) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query BookStack (Wiki) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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