How do I authenticate?

You need a Lattice API Key configured via Admin settings, passed into the plugin's configuration.

Can I update OKRs from this server?

Currently the server is heavily optimized for reading OKRs, directories, and feedback.

Is employee personal data secure?

Yes, queries route directly from your Vurb client strictly and securely into the Lattice native endpoints. Nothing is stored intermediately.

Lattice MCP Server for AutoGen 9 tools — connect in under 2 minutes

Name: Lattice
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Lattice as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="lattice_agent",
            tools=tools,
            system_message=(
                "You help users with Lattice. "
                "9 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Lattice tools. Connect 9 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Lattice MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 9 tools from Lattice automatically

Why Use AutoGen with the Lattice MCP Server

AutoGen provides unique advantages when paired with Lattice through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Lattice tools to solve complex tasks

Role-based architecture lets you assign Lattice tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Lattice tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Lattice tool responses in an isolated environment

Lattice + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Lattice MCP Server delivers measurable value.

Collaborative analysis: one agent queries Lattice while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Lattice, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Lattice data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Lattice responses in a sandboxed execution environment

Lattice MCP Tools for AutoGen (9)

These 9 tools become available when you connect Lattice to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Lattice to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Lattice + AutoGen FAQ

Common questions about integrating Lattice MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Lattice tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.