Pelias Geocoder MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pelias Geocoder through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pelias-geocoder": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pelias Geocoder Agent",
instructions:
"You help users interact with Pelias Geocoder " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pelias Geocoder?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Pelias Geocoder tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Pelias Geocoder MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Pelias Geocoder via MCP
Why Use Mastra AI with the Pelias Geocoder MCP Server
Mastra AI provides unique advantages when paired with Pelias Geocoder through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pelias Geocoder without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Pelias Geocoder tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Pelias Geocoder + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pelias Geocoder MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pelias Geocoder, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pelias Geocoder as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pelias Geocoder on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pelias Geocoder tools alongside other MCP servers
Pelias Geocoder MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Pelias Geocoder to Mastra AI via MCP:
lookup_place_id
Irreversibly vaporize explicit validations extracting rich schema properties
reverse_distance_limit
circle.radius` checking exactly how far from the point Pelias should search. Retrieve the exact structural matching verifying Reverse alternatives
reverse_geocode
Perform structural extraction of properties driving active OSM Pins
search_autocomplete
Retrieve explicit Cloud logging tracing explicit Keypress constraints
search_bounding_box
rect` figuring out what geometries strictly fall inside the map coordinate rectangle. Dispatch an automated validation check routing explicit Box arrays
search_country_filter
country` fetching localized boundaries matching ISO 3166 limits. Identify explicit tracking networks dropping extraneous international domains
search_focus_bias
point` enforcing Pelias to prioritize results physically closer to the GPS trace. Inspect deep internal arrays mitigating specific Center biases
search_geocode
Identify bounded routing spaces inside the Headless Pelias Maps
search_layer_filter
Enumerate explicitly attached structured rules exporting active GIS datasets
structured_geocoding
g address=X region=Y safely isolating terms. Identify precise active arrays spanning native Location limits
Example Prompts for Pelias Geocoder in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Pelias Geocoder immediately.
"Log natively bounding coordinates logically extracted seamlessly for the explicit address '10 Downing St, London'."
"Reverse query the explicit structure gracefully checking logical metadata coordinates lat `40.7484` and lon `-73.9856` natively limits."
"Check suggestions validating autocompletion logs evaluating string inputs structurally starting with bounds 'Statue of L'."
Troubleshooting Pelias Geocoder MCP Server with Mastra AI
Common issues when connecting Pelias Geocoder to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPelias Geocoder + Mastra AI FAQ
Common questions about integrating Pelias Geocoder MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Pelias Geocoder 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.
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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 Pelias Geocoder to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
