Insightful 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 Insightful as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Insightful. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Insightful?"
)
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 Insightful MCP Server
Empower your AI agents to analyze and manage workforce productivity with Insightful (formerly Workpuls). This MCP server allows you to list employees and teams, track project progress, monitor real-time activity, and retrieve productivity and attendance reports directly through the Insightful API. Ideal for automating team management and performance monitoring.
LlamaIndex agents combine Insightful 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.
The Insightful 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 Insightful to LlamaIndex via MCP
Follow these steps to integrate the Insightful 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 Insightful
Why Use LlamaIndex with the Insightful MCP Server
LlamaIndex provides unique advantages when paired with Insightful through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Insightful tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Insightful tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Insightful, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Insightful tools were called, what data was returned, and how it influenced the final answer
Insightful + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Insightful MCP Server delivers measurable value.
Hybrid search: combine Insightful real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Insightful 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 Insightful for fresh data
Analytical workflows: chain Insightful queries with LlamaIndex's data connectors to build multi-source analytical reports
Insightful MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Insightful to LlamaIndex via MCP:
get_attendance
Retrieves aggregated attendance and time tracking reports
get_employee
Retrieves details for a specific employee
get_productivity
Retrieves aggregated productivity reports
list_activity
Lists recent employee activity logs
list_employees
Lists all employees in the organization
list_locations
Lists all registered organization locations
list_projects
Lists all active and past projects
list_tasks
Lists all tasks across projects
list_teams
Lists all organization teams
list_webhooks
Lists all configured webhooks
Example Prompts for Insightful in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Insightful immediately.
"List all employees in the 'Engineering' team."
"Show me the productivity report for last week."
"Check recent activity logs for project ID '789'."
Troubleshooting Insightful MCP Server with LlamaIndex
Common issues when connecting Insightful to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInsightful + LlamaIndex FAQ
Common questions about integrating Insightful 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 Insightful 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 Insightful to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.