Mapillary MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mapillary through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mapillary Assistant",
instructions=(
"You help users interact with Mapillary. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mapillary"
)
print(result.final_output)
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 Mapillary MCP Server
Connect to Mapillary and access the world's largest street-level imagery platform through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Mapillary through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mapillary, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Image Search — Search street-level images by geographic bounding box
- Image Details — Get image metadata including GPS coordinates, capture date, compass angle and sequence
- Sequence Search — Find image sequences (connected images along routes) by area
- Map Features — Search detected traffic signs, objects and road markings by area
- Object Detections — Get all detected objects in a specific image
The Mapillary MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Mapillary to OpenAI Agents SDK via MCP
Follow these steps to integrate the Mapillary MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from Mapillary
Why Use OpenAI Agents SDK with the Mapillary MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mapillary through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mapillary + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mapillary MCP Server delivers measurable value.
Automated workflows: build agents that query Mapillary, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mapillary, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mapillary tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mapillary to resolve tickets, look up records, and update statuses without human intervention
Mapillary MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Mapillary to OpenAI Agents SDK via MCP:
get_detection_value
Returns the detected value, type, GPS coordinates and image association. Get details for a specific object detection
get_image
Returns image ID, capture date/time, GPS coordinates, compass angle, sequence ID, organization and thumbnail URL. Use fields parameter to request additional data like "geometry,compass_angle,captured_at,sequence,thumb_256_url,thumb_1024_url,altitude". Get details for a specific Mapillary image
get_image_detections
Returns detection values, types, geometry and confidence scores. Get object detections for a specific image
get_map_features
Returns feature type, value, GPS coordinates and detection confidence. Useful for traffic sign inventory and road infrastructure analysis. Search map features (traffic signs, objects) by area
get_sequence
Returns sequence ID, creation date and related images. Get details for a specific image sequence
search_images
Returns image IDs, coordinates, capture dates, compass angles and sequence IDs. Bbox format: min_lon,min_lat,max_lon,max_lat (e.g. "-0.15,51.50,-0.10,51.52" for central London). Search street-level images by geographic area
search_sequences
Returns sequence IDs and metadata for all sequences that pass through the area. Search image sequences by geographic area
Example Prompts for Mapillary in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mapillary immediately.
"Find street-level images in central London."
"Search for traffic signs in São Paulo."
"Get object detections for image abc123."
Troubleshooting Mapillary MCP Server with OpenAI Agents SDK
Common issues when connecting Mapillary to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mapillary + OpenAI Agents SDK FAQ
Common questions about integrating Mapillary MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Mapillary 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 Mapillary to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.