Veraset 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 Veraset 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="Veraset Assistant",
instructions=(
"You help users interact with Veraset. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Veraset"
)
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 Veraset MCP Server
Bind the massive scale of Veraset geolocation data directly to your preferred AI conversational agent. Eradicate context switching when analyzing billions of Points of Interest (POI) and mobile signal attributes.
The OpenAI Agents SDK auto-discovers all 10 tools from Veraset through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Veraset, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Live SQL Querying — Prompt your LLM agent to construct, dispatch, and execute ANSI SQL directly aimed at Veraset databases to compute geolocation aggregates.
- Rapid Execution Management — Check on long-running geolocation jobs, pull back the output tables seamlessly, or ruthlessly cancel intensive queries straight from your text box.
- Dataset Profiling — Scan all your available Veraset packages, request quick dataset schemas, or instantly preview data samples to ensure accuracy before executing queries.
- Delivery Bucket Access — Query the secure S3 delivery prefixes attached to your organization for bulk downloads and dynamically generate pre-signed file keys in seconds.
The Veraset 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 Veraset to OpenAI Agents SDK via MCP
Follow these steps to integrate the Veraset 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 Veraset
Why Use OpenAI Agents SDK with the Veraset MCP Server
OpenAI Agents SDK provides unique advantages when paired with Veraset 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
Veraset + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Veraset MCP Server delivers measurable value.
Automated workflows: build agents that query Veraset, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Veraset, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Veraset tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Veraset to resolve tickets, look up records, and update statuses without human intervention
Veraset MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Veraset to OpenAI Agents SDK via MCP:
cancel_running_query
Immediately aborts a currently executing SQL task
execute_sql_query
Provide a dataset ID and ANSI SQL. Returns a query ID. Starts a new SQL query task against a Veraset dataset
generate_download_link
Generates a temporary pre-signed URL for an S3 file download
get_dataset_metadata
Retrieves technical metadata for a specific mobility dataset
get_dataset_sample
Retrieves a quick sample of the first few rows of a dataset
get_dataset_schema
Retrieves the column definitions and data types for a dataset
get_query_results
Supports pagination. Retrieves the result rows from a completed SQL query
get_query_status
Checks the progress of a running SQL query
list_mobility_datasets
Identify accessible mobility datasets in Veraset
list_s3_delivery_folders
Lists S3 prefixes where scheduled data drops are delivered
Example Prompts for Veraset in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Veraset immediately.
"List all our provisioned delivery folder buckets for S3 mobility packets."
"Get a basic preview 10-row sample from the dataset 'movement_global'."
"Execute an aggregation query on 'dataset-v5' grouping total foot traffic by 'store_id' and get the current execution status."
Troubleshooting Veraset MCP Server with OpenAI Agents SDK
Common issues when connecting Veraset to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Veraset + OpenAI Agents SDK FAQ
Common questions about integrating Veraset 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 Veraset 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 Veraset to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.