Bring Performance Management
to LangChain
Create your Vinkius account to connect Lattice to LangChain and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this endpoint
- Enter your Lattice API token securely
- Engage your HR tools from your development environment
Who is this for?
- HR Business Partners — pull performance data effortlessly in seconds
- Team Leads — check team OKRs directly without context switching
- Engineering Managers — read feedback forms right in the IDE
Built-in capabilities (9)
Get details about a specific feedback entry
Get targeted details for a specific goal
Get details regarding a specific review cycle
Get details for a specific Lattice employee
Retrieve a list of feedback and praise instances
Retrieve a list of all OKRs & Goals
Retrieve a list of performance review cycles
Retrieve pending tasks
Retrieve a list of employees/users from Lattice
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Lattice through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Lattice MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Lattice queries for multi-turn workflows
Lattice in LangChain
Why run Lattice with Vinkius?
The Lattice connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Lattice using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lattice and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lattice to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Lattice for LangChain
Every request between LangChain and Lattice is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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