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Wiki.js MCP Server for LangChainGive LangChain instant access to 6 tools to Create Page, Delete Page, Get Page, and more

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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.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "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())
Wiki.js
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 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

Create page on Wiki.js

Create a new Wiki.js page

delete

Delete page on Wiki.js

Delete a Wiki.js page

get

Get page on Wiki.js

Fetch a Wiki.js page by path

list

List pages on Wiki.js

List all Wiki.js pages

search

Search pages on Wiki.js

Search for content in Wiki.js

update

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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 6 tools from Wiki.js via MCP

Why Use LangChain with the Wiki.js MCP Server

LangChain provides unique advantages when paired with Wiki.js through the Model Context Protocol.

01

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

02

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

03

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

04

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.

01

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

02

Autonomous research agents: LangChain agents query Wiki.js, synthesize findings, and generate comprehensive research reports

03

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

04

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.

01

"Search for 'deployment guide' in our Wiki.js."

02

"Create a new markdown page at 'docs/api-v2' titled 'API v2 Reference'."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wiki.js + LangChain FAQ

Common questions about integrating Wiki.js MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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