15Five MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 15Five as an MCP tool provider through 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 15Five. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in 15Five?"
)
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 15Five MCP Server
Transform your team’s engagement and performance with 15Five, the holistic performance management platform now accessible through your AI agent. By bridging 15Five with the Model Context Protocol, you turn employee check-ins and objective tracking into a seamless conversation. Your agent can help you celebrate wins with High Fives, monitor team sentiment via Pulse scores, and audit OKRs without you ever leaving your primary workspace. It’s the ultimate tool for managers who want to stay connected to their team’s heartbeat while focusing on strategic growth.
LlamaIndex agents combine 15Five tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Check-ins & Feedback — Retrieve recent check-ins, view employee answers, and monitor pulse scores to gauge team sentiment.
- High Fives & Recognition — List received high fives or send new ones to celebrate team wins and boost morale directly from chat.
- Objectives (OKRs) — Track progress on company or individual objectives and key results without manual dashboard lookups.
- User & Team Management — List employees, departments, and groups to maintain organizational clarity.
- Engagement Insights — Quickly access historical performance data and feedback cycles to support meaningful 1-on-1 conversations.
The 15Five MCP Server exposes 6 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 15Five to LlamaIndex via MCP
Follow these steps to integrate the 15Five 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 6 tools from 15Five
Why Use LlamaIndex with the 15Five MCP Server
LlamaIndex provides unique advantages when paired with 15Five through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine 15Five tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain 15Five tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query 15Five, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what 15Five tools were called, what data was returned, and how it influenced the final answer
15Five + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the 15Five MCP Server delivers measurable value.
Hybrid search: combine 15Five real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query 15Five 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 15Five for fresh data
Analytical workflows: chain 15Five queries with LlamaIndex's data connectors to build multi-source analytical reports
15Five MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect 15Five to LlamaIndex via MCP:
list_checkins
Use this to monitor team sentiment or review previous employee submissions. You can filter by user ID. List recent employee check-ins and performance reports
list_departments
Useful for finding the department ID or identifying team structures. List all departments and their members
list_high_fives
List recent High Fives (public recognition) across the company
list_objectives
List company and individual objectives (OKRs)
list_users
Use this to find the identifier for a person. List all active employees and users in the 15Five organization
send_high_five
Requires the email address of the recipient and a personal message. Send a High Five to publicly recognize a colleague
Example Prompts for 15Five in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with 15Five immediately.
"Show me the last 5 check-ins for my team."
"Send a High Five to Sarah for her great work on the project."
"List all active company objectives."
Troubleshooting 15Five MCP Server with LlamaIndex
Common issues when connecting 15Five to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcp15Five + LlamaIndex FAQ
Common questions about integrating 15Five 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 15Five 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 15Five to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.