Workvivo 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 Workvivo as an MCP tool provider through the 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 Workvivo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Workvivo?"
)
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 Workvivo MCP Server
Connect your Workvivo account to any AI agent and manage your employee experience infrastructure through natural conversation.
LlamaIndex agents combine Workvivo tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Social Feed — Browse the company activity feed, retrieve full details for specific posts (likes, comments), and share new updates instantly
- Employee Directory — List all registered employees and retrieve comprehensive profile details including contact info and job titles
- Collaboration Spaces — Browse interest groups and departmental spaces, retrieve membership counts, and post updates to specific spaces
- Company Events — Monitor the company calendar, retrieve details for upcoming events including location and start times
- Content Insights — Quickly find unique post, employee, space, and event IDs required for automated internal communication workflows
- Team Engagement — Analyze activity levels and browse social interactions across the platform directly from your agent
- Data Integrity — Safely delete unfinalized or obsolete social posts through simple chat commands
The Workvivo 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 Workvivo to LlamaIndex via MCP
Follow these steps to integrate the Workvivo 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 Workvivo
Why Use LlamaIndex with the Workvivo MCP Server
LlamaIndex provides unique advantages when paired with Workvivo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Workvivo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Workvivo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Workvivo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Workvivo tools were called, what data was returned, and how it influenced the final answer
Workvivo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Workvivo MCP Server delivers measurable value.
Hybrid search: combine Workvivo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Workvivo 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 Workvivo for fresh data
Analytical workflows: chain Workvivo queries with LlamaIndex's data connectors to build multi-source analytical reports
Workvivo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Workvivo to LlamaIndex via MCP:
create_social_post
Provide the text content and an optional space ID. Creates a new post on the Workvivo activity feed
delete_social_post
This action is irreversible. Permanently deletes a post from Workvivo
get_employee_profile
Retrieves profile details for a specific employee
get_event_details
Retrieves details for a specific calendar event
get_post_details
Retrieves details for a specific social post
get_space_details
Retrieves details for a specific collaboration space
list_collaboration_spaces
Lists collaboration spaces (groups) in Workvivo
list_company_events
Lists upcoming events scheduled in Workvivo
list_employees
Lists employees registered in the Workvivo directory
list_workvivo_posts
Lists social posts and activity on the Workvivo platform
Example Prompts for Workvivo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Workvivo immediately.
"List the last 5 posts on the company feed."
"Find the profile for employee ID 'emp-123'."
"What are the details for the 'Town Hall' event today?"
Troubleshooting Workvivo MCP Server with LlamaIndex
Common issues when connecting Workvivo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorkvivo + LlamaIndex FAQ
Common questions about integrating Workvivo 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 Workvivo 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 Workvivo to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.