Kissmetrics 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 Kissmetrics 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="Kissmetrics Assistant",
instructions=(
"You help users interact with Kissmetrics. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kissmetrics"
)
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 Kissmetrics MCP Server
Connect your Kissmetrics account to any AI agent to automate your user behavioral analytics and tracking workflows. This MCP server enables your agent to record events, manage user properties, and query complex metric data directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 7 tools from Kissmetrics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kissmetrics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Behavior Tracking — Record custom events for specific users to monitor their journey and interactions
- Profile Management — Set and update user properties and metadata to maintain rich customer profiles
- Identity Resolution — Alias multiple identities to maintain a single, unified view of a user across sessions
- Data Discovery — List all defined event types and property names currently in your account
- Analytical Querying — Retrieve people counts and metric values over time to track business performance
The Kissmetrics 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 Kissmetrics to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kissmetrics 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 Kissmetrics
Why Use OpenAI Agents SDK with the Kissmetrics MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kissmetrics 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
Kissmetrics + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kissmetrics MCP Server delivers measurable value.
Automated workflows: build agents that query Kissmetrics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kissmetrics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kissmetrics tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kissmetrics to resolve tickets, look up records, and update statuses without human intervention
Kissmetrics MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Kissmetrics to OpenAI Agents SDK via MCP:
alias_identities
g., linking a browser ID to an email). Link two identities together
list_event_types
List all event types defined in the account
list_property_names
List all property names used in the account
query_metric_data
Requires a metric ID and query parameters. Get data for a specific metric
query_people_count
Get the count of people matching specific criteria
record_event
Requires a person identity (email/ID) and an event name. Record a behavior event for a person
set_person_properties
Set properties for a specific person
Example Prompts for Kissmetrics in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kissmetrics immediately.
"Record a 'Purchased' event for 'user@example.com' with price 49.99."
"Set the property 'Plan Tier' to 'Enterprise' for 'customer_123'."
"Show me all event types defined in my account."
Troubleshooting Kissmetrics MCP Server with OpenAI Agents SDK
Common issues when connecting Kissmetrics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kissmetrics + OpenAI Agents SDK FAQ
Common questions about integrating Kissmetrics 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 Kissmetrics 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 Kissmetrics to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.