DeveloperHub MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine DeveloperHub 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 DeveloperHub queries for multi-turn workflows
DeveloperHub + LangChain Use Cases
Practical scenarios where LangChain combined with the DeveloperHub MCP Server delivers measurable value.
RAG with live data: combine DeveloperHub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query DeveloperHub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain DeveloperHub tools with web scrapers, databases, and calculators in a single agent run
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:
get_account_metadata
Retrieve metadata and usage limits for your DeveloperHub account
get_documentation_page_content
Get the full content and metadata for a specific documentation page
get_documentation_project_details
Get detailed information for a specific documentation project
get_documentation_sitemap
Retrieve a structural map of all pages in a project
list_documentation_pages
List all pages and sub-pages within a specific project
list_documentation_projects
List all documentation projects in your DeveloperHub account
list_documentation_versions
List all versions (e.g. v1.0, v2.0) available for a project
list_product_changelogs
List all changelog entries associated with a documentation project
list_recently_updated_pages
Identify documentation pages that have been recently modified
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.
"List all documentation pages in the 'API-Reference' project."
"What were the latest updates in our project changelog?"
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDeveloperHub + LangChain FAQ
Common questions about integrating DeveloperHub 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?
Connect DeveloperHub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DeveloperHub to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
