Lattice Talent MCP Server
for AI Agents
Connect your AI agent to StackOne's Lattice Talent MCP server and give it 26 MCP tools out of the box. Auth, tool execution, and security all managed.
StackOne 
Coverage
26 Agent Actions
Create, read, update, and delete across Lattice Talent — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Lattice Talent MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Lattice Talent 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 Talent call.
Tools Discovery →What is the Lattice Talent MCP Server?
A Lattice Talent MCP server lets AI agents read and write Lattice Talent data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Lattice Talent MCP server ships with 26 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 Talent MCP Tools
Every action from Lattice Talent'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
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 (12)
- Create Goal Update
Create a progress update for a specific goal
- Get Review Cycle Reviewees
Get all reviewees for a specific review cycle
- Get 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
- 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 Talent AI Agent Use Cases
Connect your AI agent to Lattice Talent and help your team scale the HR operations they run by hand today.
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
ViewUse StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
ViewUse StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
ViewSet Up Your Lattice Talent MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Lattice Talent in under 10 lines of code.
Agent Frameworks
JSON{
"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
139+ actions
128+ actions
127+ actions
123+ actions
120+ actions
117+ actions
111+ actions
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 Talent MCP Server FAQ
Does StackOne have a Lattice Talent MCP server?
Lattice Talent MCP server vs direct API integration — what's the difference?
How does Lattice Talent authentication work for AI agents?
origin_owner_id.Are Lattice Talent MCP tools vulnerable to prompt injection?
What is the context bloat of a Lattice Talent agent and how do I avoid it?
Can I limit which actions my Lattice Talent agent can access?
Can I create custom agent actions for my Lattice Talent MCP server?
When should I NOT use a Lattice Talent MCP server?
What AI frameworks and AI clients does the StackOne Lattice Talent MCP server support?
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.