BIMobject 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 BIMobject 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 BIMobject. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in BIMobject?"
)
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 BIMobject MCP Server
Connect your AI agents to BIMobject, the world's leading BIM content platform. This MCP provides 10 tools to search the marketplace, retrieve detailed product specifications, and access BIM files for AEC (Architecture, Engineering, and Construction) workflows.
LlamaIndex agents combine BIMobject 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
- Product Discovery — Search for specific building products and materials using keywords and filters
- Technical Specs — Retrieve granular metadata and manufacturer details for BIM objects
- File Access — List available BIM formats (Revit, ArchiCAD, IFC, etc.) for any product
- Brand Analysis — Explore manufacturer profiles and their full digital product catalogs
The BIMobject 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 BIMobject to LlamaIndex via MCP
Follow these steps to integrate the BIMobject 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 BIMobject
Why Use LlamaIndex with the BIMobject MCP Server
LlamaIndex provides unique advantages when paired with BIMobject through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BIMobject tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BIMobject tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BIMobject, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BIMobject tools were called, what data was returned, and how it influenced the final answer
BIMobject + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BIMobject MCP Server delivers measurable value.
Hybrid search: combine BIMobject real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BIMobject 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 BIMobject for fresh data
Analytical workflows: chain BIMobject queries with LlamaIndex's data connectors to build multi-source analytical reports
BIMobject MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect BIMobject to LlamaIndex via MCP:
get_brand_details
Get details for a specific brand
get_me
Get current user profile
get_product_details
Get detailed information for a specific product
get_product_files
List files available for a product
list_brands
List manufacturers and brands
list_categories
List product categories
list_classifications
List classification systems
list_featured_products
List featured marketplace products
list_latest_products
List latest added products
search_products
Search for BIM products in the marketplace
Example Prompts for BIMobject in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BIMobject immediately.
"Search BIMobject for 'sustainable insulation' and list the first 5 results."
"Get all available Revit files for product ID 'p_999'."
"List all brands configured in my BIMobject project."
Troubleshooting BIMobject MCP Server with LlamaIndex
Common issues when connecting BIMobject to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBIMobject + LlamaIndex FAQ
Common questions about integrating BIMobject 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 BIMobject 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 BIMobject to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.