Officevibe MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Officevibe through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"officevibe": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Officevibe, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Officevibe MCP Server
Connect your Officevibe (by Workleap) account to your AI agent and gain deep insights into your workplace culture and employee engagement through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Officevibe through native MCP adapters. Connect 10 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.
What you can do
- Engagement Scores — Retrieve aggregated engagement and satisfaction scores for your entire organization or specific teams.
- Pulse Metrics — Access granular scores for key sub-metrics like Recognition, Relationship with Manager, and Wellness.
- Feedback Monitoring — List qualitative survey feedback and comments, and retrieve full follow-up conversations.
- NPS Tracking — Monitor your current Employee Net Promoter Score (eNPS) and view historical trends.
- User & Team Oversight — List all employees and organization segments to understand your culture's structure.
- Deep Inspection — Fetch complete metadata and profile information for specific employees using their unique IDs.
The Officevibe MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Officevibe to LangChain via MCP
Follow these steps to integrate the Officevibe MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Officevibe via MCP
Why Use LangChain with the Officevibe MCP Server
LangChain provides unique advantages when paired with Officevibe through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Officevibe MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Officevibe queries for multi-turn workflows
Officevibe + LangChain Use Cases
Practical scenarios where LangChain combined with the Officevibe MCP Server delivers measurable value.
RAG with live data: combine Officevibe tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Officevibe, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Officevibe tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Officevibe tool call, measure latency, and optimize your agent's performance
Officevibe MCP Tools for LangChain (10)
These 10 tools become available when you connect Officevibe to LangChain via MCP:
get_employee_details
Get specific employee info
get_engagement_metrics
g., Recognition, Relationship with Manager). Get granular engagement metrics
get_engagement_scores
Get overall engagement scores
get_feedback_replies
Get feedback conversation
get_nps_scores
Get employee NPS scores
list_employees
List all employees
list_survey_feedback
List survey feedback
list_user_attributes
List custom user attributes
list_vibe_segments
List audience segments
list_vibe_teams
List organization teams
Example Prompts for Officevibe in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Officevibe immediately.
"What is our current organization engagement score?"
"List the latest qualitative feedback from employee surveys."
"Show me the Employee NPS (eNPS) trend for this quarter."
Troubleshooting Officevibe MCP Server with LangChain
Common issues when connecting Officevibe to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOfficevibe + LangChain FAQ
Common questions about integrating Officevibe MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Officevibe 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 Officevibe to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
