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DeveloperHub MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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({
        "developerhub": {
            "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 DeveloperHub, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
DeveloperHub
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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 DeveloperHub MCP Server

Integrate DeveloperHub, the specialized platform for developer documentation, directly into your AI workflow. Manage your documentation portals, monitor page updates and versions, and track product changelogs using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with DeveloperHub through native MCP adapters. Connect 10 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

  • Project Oversight — List and retrieve technical metadata for all your documentation projects and portals.
  • Page Management — Access the full page hierarchy, retrieve Markdown content, and track recent updates.
  • Version Control — Monitor available documentation versions and identify which one is currently active.
  • Changelog Tracking — List product release notes and updates associated with your documentation projects.

The DeveloperHub MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 DeveloperHub to LangChain via MCP

Follow these steps to integrate the DeveloperHub MCP Server with LangChain.

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 10 tools from DeveloperHub via MCP

Why Use LangChain with the DeveloperHub MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine DeveloperHub 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 DeveloperHub queries for multi-turn workflows

DeveloperHub + LangChain Use Cases

Practical scenarios where LangChain combined with the DeveloperHub MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query DeveloperHub, synthesize findings, and generate comprehensive research reports

03

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

04

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

DeveloperHub MCP Tools for LangChain (10)

These 10 tools become available when you connect DeveloperHub to LangChain via MCP:

01

get_account_metadata

Retrieve metadata and usage limits for your DeveloperHub account

02

get_documentation_page_content

Get the full content and metadata for a specific documentation page

03

get_documentation_project_details

Get detailed information for a specific documentation project

04

get_documentation_sitemap

Retrieve a structural map of all pages in a project

05

list_documentation_pages

List all pages and sub-pages within a specific project

06

list_documentation_projects

List all documentation projects in your DeveloperHub account

07

list_documentation_versions

List all versions (e.g. v1.0, v2.0) available for a project

08

list_product_changelogs

List all changelog entries associated with a documentation project

09

list_recently_updated_pages

Identify documentation pages that have been recently modified

10

search_documentation_portal

Search for specific keywords across all pages in a documentation project

Example Prompts for DeveloperHub in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with DeveloperHub immediately.

01

"List all documentation pages in the 'API-Reference' project."

02

"What were the latest updates in our project changelog?"

03

"Search for 'webhooks' in our documentation portal."

Troubleshooting DeveloperHub MCP Server with LangChain

Common issues when connecting DeveloperHub to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

DeveloperHub + LangChain FAQ

Common questions about integrating DeveloperHub 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.

Connect DeveloperHub to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.