Officevibe MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Officevibe as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Officevibe. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Officevibe?"
)
print(response)
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.
LlamaIndex agents combine Officevibe tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Officevibe MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Officevibe
Why Use LlamaIndex with the Officevibe MCP Server
LlamaIndex provides unique advantages when paired with Officevibe through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Officevibe tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Officevibe tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Officevibe, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Officevibe tools were called, what data was returned, and how it influenced the final answer
Officevibe + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Officevibe MCP Server delivers measurable value.
Hybrid search: combine Officevibe real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Officevibe to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Officevibe for fresh data
Analytical workflows: chain Officevibe queries with LlamaIndex's data connectors to build multi-source analytical reports
Officevibe MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Officevibe to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Officevibe to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOfficevibe + LlamaIndex FAQ
Common questions about integrating Officevibe MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.