Wiki.js MCP Server for LangChainGive LangChain instant access to 6 tools to Create Page, Delete Page, Get Page, and more
LangChain is the leading Python framework for composable LLM applications. Connect Wiki.js through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Wiki.js MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"wikijs": {
"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 Wiki.js, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Wiki.js MCP Server
Connect your Wiki.js instance to any AI agent and take full control of your internal knowledge base through natural conversation. This server allows you to interact with your documentation without leaving your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with Wiki.js through native MCP adapters. Connect 6 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
- Page Management — Create new pages with full metadata, update existing content by ID, or delete outdated documentation.
- Search & Discovery — Search across your entire wiki for specific keywords or list all available pages to understand your knowledge structure.
- Content Retrieval — Fetch the raw content and metadata of any page using its URL path and locale.
- Flexible Editing — Support for different editor types and publishing statuses (published/private) directly via the API.
The Wiki.js MCP Server exposes 6 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 6 Wiki.js tools available for LangChain
When LangChain connects to Wiki.js through Vinkius, your AI agent gets direct access to every tool listed below — spanning documentation, wiki, content-creation, 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 page on Wiki.js
Create a new Wiki.js page
Delete page on Wiki.js
Delete a Wiki.js page
Get page on Wiki.js
Fetch a Wiki.js page by path
List pages on Wiki.js
List all Wiki.js pages
Search pages on Wiki.js
Search for content in Wiki.js
Update page on Wiki.js
Update an existing Wiki.js page
Connect Wiki.js to LangChain via MCP
Follow these steps to wire Wiki.js into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Wiki.js MCP Server
LangChain provides unique advantages when paired with Wiki.js through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Wiki.js 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 Wiki.js queries for multi-turn workflows
Wiki.js + LangChain Use Cases
Practical scenarios where LangChain combined with the Wiki.js MCP Server delivers measurable value.
RAG with live data: combine Wiki.js tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Wiki.js, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Wiki.js tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Wiki.js tool call, measure latency, and optimize your agent's performance
Example Prompts for Wiki.js in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Wiki.js immediately.
"Search for 'deployment guide' in our Wiki.js."
"Create a new markdown page at 'docs/api-v2' titled 'API v2 Reference'."
"List all the pages available in our wiki."
Troubleshooting Wiki.js MCP Server with LangChain
Common issues when connecting Wiki.js to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWiki.js + LangChain FAQ
Common questions about integrating Wiki.js MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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