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Connect to everything your agents need, without writing the infrastructure to get there.

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StackOne
Connectors
Connect

Connect to everything your agents need, without writing the infrastructure to get there.

Secure

Enterprise-grade controls to ensure your agent always meets security & compliance standards.

Optimize

Maximise agent efficiency – faster responses, increased accuracy, fewer tokens used.

Use-Cases
Pricing
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Live 34 Actions

Lattice MCP Server
for AI Agents

Connect your AI agent to StackOne's Lattice MCP server and give it 34 MCP tools out of the box. Auth, tool execution, and security all managed.

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Lattice MCP Server
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Coverage

34 Agent Actions

Create, read, update, and delete across Lattice — and extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Lattice MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Lattice tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Lattice call.

Tools Discovery →

What is the Lattice MCP Server?

A Lattice MCP server lets AI agents read and write Lattice data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Lattice MCP server ships with 34 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Lattice MCP Tools

Every action from Lattice's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Departments

  • List Departments

    Get all departments in the organization

  • Get Department

    Retrieve detailed information for a specific department by ID

Feedbacks

  • List Feedbacks

    Get all feedback submissions in the organization

  • Get Feedback

    Retrieve detailed information for a specific feedback by ID

Goals

  • Create Goal

    Create a new goal in the organization

  • List Goals

    Get all goals in the organization

  • Get Goal

    Retrieve detailed information for a specific goal by ID

  • Update Goal

    Update an existing goal

Goal Updates

  • Create Goal Update

    Create a progress update for a specific goal

  • List Goal Updates

    Get all goal updates across all goals in the organization

  • Get Goal Updates

    Get all progress updates for a specific goal

Review Cycles

  • List Review Cycles

    Get all review cycles in the organization

  • Get Review Cycle

    Retrieve detailed information for a specific review cycle by ID

Tags

  • List Tags

    Get all tags in the organization

  • Get Tag

    Retrieve detailed information for a specific tag by ID

Users

  • List Users

    Get all users in the organization

  • Get User

    Retrieve detailed information for a specific user by ID

Other (17)

  • Get Competency

    Retrieve detailed information for a specific competency by ID

  • Get Custom Attribute

    Retrieve detailed information for a specific custom attribute by ID

  • Get Custom Attribute Value

    Retrieve a specific custom attribute value by ID

  • Get Question

    Retrieve a review question by ID

  • Get Question Revision

    Retrieve a question revision by ID

  • List Review Cycle Reviewees

    Get all reviewees for a specific review cycle

  • List Review Cycle Reviews

    Get all reviews for a specific review cycle

  • Get Reviewee

    Retrieve detailed information for a specific reviewee by ID

  • Get Reviewee Reviews

    Get all reviews for a specific reviewee

  • Get Task

    Retrieve a task by ID

  • List Updates

    Get all updates in the organization

  • Get Update

    Retrieve detailed information for a specific update by ID

  • Get Me

    Get the current authenticated user's information

  • Get User Direct Reports

    Get all direct reports for a specific user

  • Get User Custom Attributes

    Get all custom attributes for a specific user

  • Get User Tasks

    Get all tasks for a specific user

  • Get User Goals

    Get all goals for a specific user

Lattice AI Agent Use Cases

Connect your AI agent to Lattice and help your team scale the HR operations they run by hand today.

Employee Onboarding

Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.

View
WorkdayBambooHRPersonioHiBobGustoRipplingOkta360Learning
HR Policy Q&A Chatbot

Use StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.

View
WorkdayBambooHRPersonioHiBobGustoRipplingSharePointConfluence
Employee Offboarding

Use StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.

View
WorkdayBambooHRPersonioOktaServiceNowRipplingGustoJira
More HRIS & HCM use cases

Set Up Your Lattice MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Lattice in under 10 lines of code.

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

Check More HRIS / HCM MCP Servers

UKG Ready

162+ actions

Workday (Rest and Soap)

128+ actions

Factorial

127+ actions

HiBob

123+ actions

Oracle Fusion HCM

120+ actions

Humaans

117+ actions

SAP SuccessFactors

111+ actions

All HRIS / HCM MCP Servers →

Platform Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

12 min

MCP vs API: What 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

14 min read

Lattice MCP Server FAQ

Does StackOne have a Lattice MCP server?
Yes. StackOne offers a hosted Lattice MCP server with 34 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Lattice MCP server vs direct API integration — what's the difference?
A Lattice MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Lattice. A Lattice MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Lattice at runtime. StackOne provides both.
How does Lattice authentication work for AI agents?
Lattice authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Lattice account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Lattice MCP tools vulnerable to prompt injection?
Yes — Lattice MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Lattice agent and how do I avoid it?
Context bloat happens when Lattice tool schemas and API responses eat your Lattice agent's memory, preventing it from reasoning effectively. A single Lattice query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Lattice agent can access?
Yes — you can limit which actions your Lattice agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Lattice MCP server?
Yes — you can create custom agent actions for your Lattice MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Lattice's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Lattice MCP server?
Skip a Lattice MCP server if your integration is purely software-to-software — direct Lattice API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Lattice actions at runtime.
What AI frameworks and AI clients does the StackOne Lattice MCP server support?
The StackOne Lattice MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

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