Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Jawg Maps (Location & Routing)?"
)
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 Jawg Maps (Location & Routing) MCP Server
Connect your Jawg Maps account to any AI agent and take full control of professional map services and geospatial analytics through natural conversation.
LlamaIndex agents combine Jawg Maps (Location & Routing) 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
- Place Search & Geocoding — Find addresses and points of interest (POI) by text or resolve GPS coordinates to physical locations directly from your agent
- Advanced Routing — Calculate optimal paths for driving, biking, or walking with support for multiple waypoints and transportation profiles
- Distance Matrices — Compute massive travel time and distance tables between multiple origins and destinations for logistics optimization
- Reachability Isochrones — Visualize reachable areas from a center point based on precise travel time or distance limits (drive-time polygons)
- Elevation Profiles — Retrieve the altitude and elevation above sea level for specific coordinates or along a calculated route path
- Geo-Filtering — Perform restricted searches within specific ISO country borders to ensure data accuracy and regional compliance
The Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing) to LlamaIndex via MCP
Follow these steps to integrate the Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing)
Why Use LlamaIndex with the Jawg Maps (Location & Routing) MCP Server
LlamaIndex provides unique advantages when paired with Jawg Maps (Location & Routing) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Jawg Maps (Location & Routing) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Jawg Maps (Location & Routing) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Jawg Maps (Location & Routing), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Jawg Maps (Location & Routing) tools were called, what data was returned, and how it influenced the final answer
Jawg Maps (Location & Routing) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Jawg Maps (Location & Routing) MCP Server delivers measurable value.
Hybrid search: combine Jawg Maps (Location & Routing) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing) for fresh data
Analytical workflows: chain Jawg Maps (Location & Routing) queries with LlamaIndex's data connectors to build multi-source analytical reports
Jawg Maps (Location & Routing) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Jawg Maps (Location & Routing) to LlamaIndex via MCP:
calculate_distance_isochrone
Calculate the area reachable within a given distance limit
calculate_distance_matrix
Compute travel times and distances between multiple origins and destinations
calculate_elevation_routing
Calculate a route that includes elevation profiles
calculate_reachability_isochrone
Calculate the area reachable within a given time limit
calculate_routing_line
) passing through the provided waypoints. Calculate a route between multiple coordinates
get_path_elevation
Get elevation data for specific coordinates
reverse_geocode
Get address information from GPS coordinates
search_autocomplete
You can optionally bias results towards a specific GPS location. Autocomplete a place or address search query
search_country_filter
Search for places with a strict country filter
search_map_places
Returns matching locations with their coordinates. Search for places and addresses by text
Example Prompts for Jawg Maps (Location & Routing) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Jawg Maps (Location & Routing) immediately.
"Find the physical address for coordinates 48.8566, 2.3522"
"Calculate a driving route from Paris to Lyon via Dijon"
"Show me the elevation for these coordinates: 45.8326, 6.8651"
Troubleshooting Jawg Maps (Location & Routing) MCP Server with LlamaIndex
Common issues when connecting Jawg Maps (Location & Routing) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJawg Maps (Location & Routing) + LlamaIndex FAQ
Common questions about integrating Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing) with your favorite client
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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 Jawg Maps (Location & Routing) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.