DeveloperHub MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DeveloperHub as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DeveloperHub. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DeveloperHub?"
)
print(response)
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.
LlamaIndex agents combine DeveloperHub tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the DeveloperHub MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from DeveloperHub
Why Use LlamaIndex with the DeveloperHub MCP Server
LlamaIndex provides unique advantages when paired with DeveloperHub through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DeveloperHub tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DeveloperHub tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DeveloperHub, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DeveloperHub tools were called, what data was returned, and how it influenced the final answer
DeveloperHub + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DeveloperHub MCP Server delivers measurable value.
Hybrid search: combine DeveloperHub real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DeveloperHub to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DeveloperHub for fresh data
Analytical workflows: chain DeveloperHub queries with LlamaIndex's data connectors to build multi-source analytical reports
DeveloperHub MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DeveloperHub to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting DeveloperHub to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDeveloperHub + LlamaIndex FAQ
Common questions about integrating DeveloperHub MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.