How to Use the Pelias Geocoder MCP in AutoGen

Q: How do AutoGen agents resolve conflicting locations using Pelias Geocoder?

One agent can call searchgeocode to get coordinates, while another calls reversegeocode to verify if they match. They compare the results of this MCP Server to reach a consensus.

Q: Can I limit AutoGen agents to specific regions with Pelias Geocoder?

Yes, agents can use searchcountryfilter or searchboundingbox to restrict their search parameters. This prevents agents from returning irrelevant global locations during their tasks.

Let your AutoGen agents debate and verify geographic locations using Pelias Geocoder.

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Setup Pelias Geocoder with AutoGen

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Multi-agent location checks in AutoGen

The `structured_geocoding` tool allows a dedicated verification agent to parse and check address structures. While one agent gathers rough location text, the verification agent uses this tool to validate the components. This multi-agent debate ensures that only verified, structured addresses are passed to your backend systems. This MCP Server provides the precise tools needed to resolve disagreements about ambiguous location names.

Target boundary validation with AutoGen

The `search_country_filter` tool restricts your AutoGen agents to specific geographic regions during their planning phase. This tool prevents agents from suggesting delivery routes or locations outside of your operating country. If one agent proposes an address that falls outside the boundary, another agent uses this tool to flag the error. It keeps your autonomous workflows running within strict geographic constraints.

High-speed location suggestions for AutoGen

The `search_autocomplete` tool provides rapid location suggestions that your AutoGen agents can use to pre-fill user queries. This tool is built to handle partial text inputs with minimal latency. Agents use this tool to resolve typing errors before executing expensive downstream tasks. It allows your multi-agent system to correct user typos on the fly.

Setup guide

Set up Pelias Geocoder MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Pelias Geocoder tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Pelias Geocoder_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Pelias Geocoder data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Pelias Geocoder_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Pelias Geocoder data")
    print(result.messages[-1].content)

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.

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Common questions about Pelias Geocoder MCP in AutoGen

One agent can call `search_geocode` to get coordinates, while another calls `reverse_geocode` to verify if they match. They compare the results of this MCP Server to reach a consensus.

Yes, agents can use `search_country_filter` or `search_bounding_box` to restrict their search parameters. This prevents agents from returning irrelevant global locations during their tasks.

You use the AutoGen MCP tool adapter to convert the server tools into a format the agents understand. Once registered, any agent in the group chat can invoke tools like `lookup_place_id` when needed.

Yes, AutoGen can invoke multiple tools simultaneously, such as running `reverse_geocode` on multiple coordinate pairs. The MCP Server handles these concurrent requests efficiently.

Your API keys are injected securely into the Vinkius environment variables and never exposed to the AutoGen agents. The agents only see the tool schemas and the output data, keeping your credentials safe.

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