BookStack (Wiki) MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect BookStack (Wiki) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The BookStack (Wiki) MCP Server for LangChain is a standout in the Collaboration category — giving your AI agent 32 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "bookstack-wiki": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using BookStack (Wiki), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with BookStack (Wiki) through native MCP adapters. Connect 32 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 32 tools from BookStack (Wiki) via MCP

Why Use LangChain with the BookStack (Wiki) MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine BookStack (Wiki) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across BookStack (Wiki) queries for multi-turn workflows

BookStack (Wiki) + LangChain Use Cases

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

RAG with live data: combine BookStack (Wiki) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query BookStack (Wiki), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain BookStack (Wiki) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every BookStack (Wiki) tool call, measure latency, and optimize your agent's performance

Example Prompts for BookStack (Wiki) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BookStack (Wiki) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.