How to Use the Pelias Geocoder MCP in CrewAI

Deploy autonomous geo-agents with CrewAI. Let specialized crews manage your spatial data and map lookups automatically.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Pelias Geocoder MCP to CrewAI

Create your Vinkius account to connect Pelias Geocoder to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Pelias Geocoder with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Specialized geocoding crews

Assign `search_geocode` to a research agent and `structured_geocoding` to a data-cleaning agent. CrewAI lets them work together on large location datasets. They share context to ensure accuracy. One agent finds the place, the other formats the address for your database.

Spatial monitoring with this MCP Server

Use `search_bounding_box` to define areas for your monitor agents. They constantly check if coordinates fall within your defined zones. It runs without human intervention. The crew flags any anomalies that appear outside the expected bounds.

Layered filtering for agents

Employ `search_layer_filter` to narrow down results to specific GIS datasets. Your agents only interact with relevant points of interest. This keeps your crew efficient. They ignore irrelevant data and focus on the specific locations you need for the task.

Setup guide

Set up Pelias Geocoder MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Pelias Geocoder tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Pelias Geocoder Analyst",
    goal="Access and analyze Pelias Geocoder data via MCP.",
    backstory="Expert analyst with direct Pelias Geocoder access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Pelias Geocoder transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Pelias Geocoder Analyst",
        goal="Access and analyze Pelias Geocoder data via MCP.",
        backstory="Expert analyst with direct Pelias Geocoder access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Pelias Geocoder transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pelias Geocoder. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Pelias Geocoder now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Pelias Geocoder MCP in CrewAI

Pass the server URL to your agent's MCP configuration. The crew will automatically gain access to all ten geocoding tools.

Yes. You define the crew and the mission, and the agents call the tools as needed to solve the problem without you asking.

It provides a standardized way for agents to resolve addresses and locations. This consistency helps agents collaborate on complex logistics projects.

The server operates in an ephemeral sandbox. It only sees the specific coordinates and addresses necessary for the current task.

It processes location coordinates and address text. No PII is stored long-term, and your sessions are isolated by the host.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python