How to Use the FCC Geo MCP in LlamaIndex
Index live FCC Geo data into your LlamaIndex knowledge base for grounded, queryable geolocation insights.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FCC Geo MCP to LlamaIndex
Create your Vinkius account to connect FCC Geo 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.
Ground your RAG pipeline with FCC Geo
Use `get_census_block_by_lat_lon` to pull raw geographic data into your index. Instead of static files, your agent pulls live regulatory data based on user queries. Everything becomes searchable. The results are indexed alongside your documents for accurate, context-aware responses.
Semantic search across telecommunication zones
The `get_fcc_areas_by_lat_lon` tool maps coordinates to FCC zones. LlamaIndex stores these results, allowing you to query for areas by physical location later. Stop guessing where regions overlap. You have a unified index that ties specific coordinates to their regulatory definitions.
Unified API and document indexing
Combine your private documents with live API output from this MCP server. The agent retrieves the latest data and incorporates it into the current query context. Get answers from facts. Your index reflects real-time FCC data rather than outdated training sets.
Set up FCC Geo 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 FCC Geo 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 FCC Geo tools.",
)
response = await agent.run("List recent FCC Geo data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FCC Geo. 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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Common questions about FCC Geo MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the FCC Geo MCP today
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