Precisely 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 Precisely as an MCP tool provider through the 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 Precisely. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Precisely?"
)
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 Precisely MCP Server
Fuse the Precisely geospatial intelligence network directly into your AI workflows, enabling your agents to accurately pinpoint addresses globally, extract demographics, and evaluate location-based risks with unparalleled precision.
LlamaIndex agents combine Precisely tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Geocoding & Autocompletion — Supply partial strings and tell the AI to resolve absolute Coordinates globally (
geocode_address,autocomplete_address) - Risk Assessment — Submit coordinates to instantly read FEMA flood zones or comparative crime metrics for that property (
enrich_flood_risk,enrich_crime_risk) - Tax Boundaries — Ask the AI to parse the exact Local Sales Tax jurisdiction applying strictly to that rooftop coordinate (
get_local_tax) - Deep Enrichment — Convert standard US Addresses into comprehensive property records including square footage and household socioeconomic segments
The Precisely 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 Precisely to LlamaIndex via MCP
Follow these steps to integrate the Precisely 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 Precisely
Why Use LlamaIndex with the Precisely MCP Server
LlamaIndex provides unique advantages when paired with Precisely through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Precisely tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Precisely tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Precisely, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Precisely tools were called, what data was returned, and how it influenced the final answer
Precisely + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Precisely MCP Server delivers measurable value.
Hybrid search: combine Precisely real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Precisely 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 Precisely for fresh data
Analytical workflows: chain Precisely queries with LlamaIndex's data connectors to build multi-source analytical reports
Precisely MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Precisely to LlamaIndex via MCP:
autocomplete_address
Returns up to 10 candidate addresses ranked by relevance. Designed for keystroke-by-keystroke usage in address input forms. Provide real-time address suggestions as users type using the Precisely Typeahead Autocomplete API, drawing from a comprehensive global address database to accelerate form completion and reduce entry errors
enrich_crime_risk
Returns crime indices normalized to a national average of 100 — values above 100 indicate higher-than-average risk. Assess the crime risk index for a specific location using the Precisely Risks API, returning normalized risk scores across categories like burglary, assault, vehicle theft, and overall crime relative to national averages
enrich_demographics
Returns rich socio-economic profiles for the census block or postal zone containing the coordinates. Retrieve detailed demographic segmentation data for a geographic coordinate using the Precisely Demographics API, including household income brackets, population density, education levels, age distribution, and consumer spending patterns
enrich_flood_risk
Returns flood zone classification (A, AE, X, V), base flood elevation, and risk index. Primarily covers US territories with FEMA data. Evaluate flood risk exposure for a specific location using the Precisely Environmental Risks API, returning FEMA flood zone designations, proximity to water bodies, elevation data, and flood risk scores
geocode_address
precisely.com. The API returns a ranked list of candidates with latitude, longitude, precision code, and match confidence. Always pass the most complete address string available to maximize match quality. The response includes PrecisionCode indicating match depth (S8 = rooftop, S5 = street-level). Forward-geocode a full or partial address string into geographic coordinates using the Precisely Geocoding API v1, which resolves against a world-class global address reference database covering 250+ countries and territories
get_local_tax
Returns the combined tax rate and individual components (state, county, city, special district). Determine the applicable sales tax rate and tax jurisdiction for a geographic location using the Precisely Local Tax API, resolving complex overlapping US tax jurisdictions down to the rooftop level
get_property_info
Returns a rich property record sourced from county assessor databases. Coverage is US-only. Retrieve comprehensive property attribute data for a US address using the Precisely Property API v2, including lot size, building square footage, year built, number of bedrooms/bathrooms, assessed value, and ownership information
get_timezone
Returns the IANA timezone identifier (e.g. America/New_York), current UTC offset, and DST status. Resolve the timezone and current UTC offset for any geographic coordinate using the Precisely Timezone API, accounting for daylight saving time transitions and political boundary changes
reverse_geocode
Note the parameter order: x = longitude, y = latitude. Returns the closest matching address with full components (street, city, state, postal code, country). Convert geographic coordinates (latitude/longitude) back into a structured postal address using the Precisely Reverse Geocoding API, resolving the nearest rooftop-level address from the global reference database
verify_address
Returns a verified, standardized address with a verification status indicating if the address is deliverable, if components were corrected, or if the address is invalid. Validate and standardize a postal address against authoritative reference datasets using the Precisely Address Verification API, returning USPS/Royal Mail/local postal authority standardized formatting and deliverability status
Example Prompts for Precisely in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Precisely immediately.
"What is the exact sales tax for an e-commerce order delivered to '1 Market St, San Francisco, CA'?"
"Check the crime risk around the latitude 40.7128 and longitude -74.0060 relative to the national average."
"Can you verify if '350 5th Ave New York 10118' is a real deliverable address? If yes, give me its timezone."
Troubleshooting Precisely MCP Server with LlamaIndex
Common issues when connecting Precisely to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPrecisely + LlamaIndex FAQ
Common questions about integrating Precisely 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 Precisely 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 Precisely to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.