How to Use the Boeing Developer Tools MCP in LlamaIndex
Index aviation data from Boeing Developer Tools into LlamaIndex to build grounded, queryable knowledge bases.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Boeing Developer Tools MCP to LlamaIndex
Create your Vinkius account to connect Boeing Developer Tools to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index Boeing Developer Tools for RAG
Convert results from `search_notams` and `get_aerodrome_details` into vector embeddings. This allows your LlamaIndex system to perform semantic search over live aviation data. Stop relying on outdated training data. Your agent now references real-time aerodrome information directly from the source.
Query live aviation data in LlamaIndex
Your agent can now answer questions about `get_runway_monitor` status by querying your local index. It combines historical context with current API state. This prevents the model from hallucinating details about airport congestion. Every answer is grounded in the specific data retrieved during the tool execution.
Unified search for Boeing Developer Tools
Include `get_taxi_time` data in your knowledge base alongside your own documents. LlamaIndex treats API outputs as first-class citizens. This gives you a single interface to query both static records and dynamic flight information. It creates a robust foundation for your RAG applications.
Set up Boeing Developer Tools MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Boeing Developer Tools MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Boeing Developer Tools tools.",
)
response = await agent.run("List recent Boeing Developer Tools data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Boeing. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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