Tencent Map LBS API MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tencent Map LBS API 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="Tencent Map LBS API Assistant",
instructions=(
"You help users interact with Tencent Map LBS API. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tencent Map LBS API"
)
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 Tencent Map LBS API MCP Server
Empower your AI agent to orchestrate your geographic operations and location-based services with Tencent Map (腾讯地图), the dominant mapping infrastructure for the WeChat ecosystem. By connecting Tencent Map to your agent, you transform complex geocoding, route planning, and POI discovery into a natural conversation. Your agent can instantly convert addresses to coordinates, calculate optimal driving or transit routes, locate users by IP address, and audit administrative districts without you ever needing to navigate a technical console. Whether you are optimizing logistics for a WeChat Miniapp or conducting market research across Chinese cities, your agent acts as a real-time geographic intelligence assistant, providing accurate results from a single, unified source.
The OpenAI Agents SDK auto-discovers all 10 tools from Tencent Map LBS API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tencent Map LBS API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Geocoding Orchestration — Convert physical addresses into precise latitude and longitude coordinates and vice versa.
- Route Planning — Retrieve detailed directions for driving, public transit, walking, and bicycling between any two points.
- POI Discovery — Search for hotels, restaurants, and other points of interest within specific boundaries or keywords.
- IP Localization — Monitor and audit user locations based on IP addresses to ensure regional accuracy.
- Administrative Insights — Access the full list of administrative districts in China for regional classification.
The Tencent Map LBS API MCP Server exposes 10 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 Tencent Map LBS API to OpenAI Agents SDK via MCP
Follow these steps to integrate the Tencent Map LBS API 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 10 tools from Tencent Map LBS API
Why Use OpenAI Agents SDK with the Tencent Map LBS API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tencent Map LBS API 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
Tencent Map LBS API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tencent Map LBS API MCP Server delivers measurable value.
Automated workflows: build agents that query Tencent Map LBS API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tencent Map LBS API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tencent Map LBS API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tencent Map LBS API to resolve tickets, look up records, and update statuses without human intervention
Tencent Map LBS API MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Tencent Map LBS API to OpenAI Agents SDK via MCP:
direction_bicycling
Get bicycling directions
direction_driving
Get driving directions
direction_transit
Get transit directions
direction_walking
Get walking directions
geocoding
Convert address to coordinates
get_district_list
Get administrative districts
ip_location
Get location by IP
poi_search
Search for Points of Interest
poi_suggestion
Get place suggestions
reverse_geocoding
Convert coordinates to address
Example Prompts for Tencent Map LBS API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tencent Map LBS API immediately.
"Find the coordinates for 'Tencent Seafront Towers' in Shenzhen."
"Search for 'Coffee' near 22.5229, 113.9351 within 1000 meters."
"What is the best transit route from Shenzhen University to the Airport?"
Troubleshooting Tencent Map LBS API MCP Server with OpenAI Agents SDK
Common issues when connecting Tencent Map LBS API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tencent Map LBS API + OpenAI Agents SDK FAQ
Common questions about integrating Tencent Map LBS API 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 Tencent Map LBS API 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 Tencent Map LBS API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.