Lattice MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lattice 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="Lattice Assistant",
instructions=(
"You help users interact with Lattice. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Lattice"
)
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 Lattice MCP Server
Connect your AI agent directly to Lattice HR. With this server, your LLM can fetch detailed employee profiles, active OKRs, tasks, and search continuous feedback loops directly tied to the Lattice platform.
The OpenAI Agents SDK auto-discovers all 9 tools from Lattice through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lattice, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Employee Directory: Fetch user metadata directly from your HRIS via Lattice.
- Goal Tracking: Query active company or individual OKRs and assess progress.
- Feedback & Praise: Monitor continuous feedback loops and recognition events.
- Review Cycles: Check past and current performance review structural data.
The Lattice MCP Server exposes 9 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 Lattice to OpenAI Agents SDK via MCP
Follow these steps to integrate the Lattice 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 9 tools from Lattice
Why Use OpenAI Agents SDK with the Lattice MCP Server
OpenAI Agents SDK provides unique advantages when paired with Lattice 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
Lattice + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Lattice MCP Server delivers measurable value.
Automated workflows: build agents that query Lattice, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Lattice, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Lattice tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Lattice to resolve tickets, look up records, and update statuses without human intervention
Lattice MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Lattice to OpenAI Agents SDK via MCP:
get_feedback
Get details about a specific feedback entry
get_goal
Get targeted details for a specific goal
get_review
Get details regarding a specific review cycle
get_user
Get details for a specific Lattice employee
list_feedback
Retrieve a list of feedback and praise instances
list_goals
Retrieve a list of all OKRs & Goals
list_reviews
Retrieve a list of performance review cycles
list_tasks
Retrieve pending tasks
list_users
Retrieve a list of employees/users from Lattice
Example Prompts for Lattice in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lattice immediately.
"List all the current engineering OKRs mapped within Lattice."
"Retrieve the full team employee directory for the Marketing division."
"Who received recent public praise and continuous feedback this week?"
Troubleshooting Lattice MCP Server with OpenAI Agents SDK
Common issues when connecting Lattice to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Lattice + OpenAI Agents SDK FAQ
Common questions about integrating Lattice 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 Lattice 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 Lattice to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.