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Pelias Geocoder MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pelias Geocoder as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="pelias_geocoder_agent",
    instruction=(
        "You help users interact with Pelias Geocoder "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Pelias Geocoder
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Pelias Geocoder MCP Server

Empower your logical AI generative environments extracting robust structural limits across the Pelias Geocoding Platform. Execute formal explicitly bounded parameter checks natively identifying coordinates logically structuring text into GPS metrics via Search/Autocomplete arrays implicitly evaluating point-of-interests securely mapped seamlessly.

Google ADK natively supports Pelias Geocoder as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Geocoding Pipelines — Execute logical bounded structures checking human-readable address parameters seamlessly natively resolving to structured bounding coordinates dynamically
  • Reverse Geocoding — Dispatch explicit strict positional bounds (Lat/Long) parsing logic pulling real-world place arrays locally checking limits internally gracefully
  • Structural Autocompletion — Query dynamic bounding nodes checking continuous input logs mapping explicit native POIs parsing geographic records securely
  • Place Queries — Map formal instances determining the exact JSON limits corresponding to specific GID properties returned seamlessly

The Pelias Geocoder MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Pelias Geocoder to Google ADK via MCP

Follow these steps to integrate the Pelias Geocoder MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Pelias Geocoder via MCP

Why Use Google ADK with the Pelias Geocoder MCP Server

Google ADK provides unique advantages when paired with Pelias Geocoder through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Pelias Geocoder

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Pelias Geocoder tools with BigQuery, Vertex AI, and Cloud Functions

Pelias Geocoder + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Pelias Geocoder MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Pelias Geocoder and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Pelias Geocoder tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Pelias Geocoder regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Pelias Geocoder

Pelias Geocoder MCP Tools for Google ADK (10)

These 10 tools become available when you connect Pelias Geocoder to Google ADK via MCP:

01

lookup_place_id

Irreversibly vaporize explicit validations extracting rich schema properties

02

reverse_distance_limit

circle.radius` checking exactly how far from the point Pelias should search. Retrieve the exact structural matching verifying Reverse alternatives

03

reverse_geocode

Perform structural extraction of properties driving active OSM Pins

04

search_autocomplete

Retrieve explicit Cloud logging tracing explicit Keypress constraints

05

search_bounding_box

rect` figuring out what geometries strictly fall inside the map coordinate rectangle. Dispatch an automated validation check routing explicit Box arrays

06

search_country_filter

country` fetching localized boundaries matching ISO 3166 limits. Identify explicit tracking networks dropping extraneous international domains

07

search_focus_bias

point` enforcing Pelias to prioritize results physically closer to the GPS trace. Inspect deep internal arrays mitigating specific Center biases

08

search_geocode

Identify bounded routing spaces inside the Headless Pelias Maps

09

search_layer_filter

Enumerate explicitly attached structured rules exporting active GIS datasets

10

structured_geocoding

g address=X region=Y safely isolating terms. Identify precise active arrays spanning native Location limits

Example Prompts for Pelias Geocoder in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Pelias Geocoder immediately.

01

"Log natively bounding coordinates logically extracted seamlessly for the explicit address '10 Downing St, London'."

02

"Reverse query the explicit structure gracefully checking logical metadata coordinates lat `40.7484` and lon `-73.9856` natively limits."

03

"Check suggestions validating autocompletion logs evaluating string inputs structurally starting with bounds 'Statue of L'."

Troubleshooting Pelias Geocoder MCP Server with Google ADK

Common issues when connecting Pelias Geocoder to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Pelias Geocoder + Google ADK FAQ

Common questions about integrating Pelias Geocoder MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Pelias Geocoder to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.