How do I send a High Five through the agent?

Use the `send_high_five` tool and provide the recipient's email or ID and a recognition message. Your agent will process it immediately and notify the recipient.

Can I see team pulse scores with this integration?

Yes, you can use the `list_checkins` tool to retrieve check-in data which includes employee pulse scores and sentiment analysis.

Does the agent support managing OKRs?

The agent can list and track progress on objectives using the `list_objectives` tool, allowing you to monitor goal attainment across your team.

15Five MCP Server for LangChain 6 tools — connect in under 2 minutes

Name: 15Five
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect 15Five through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "15five": {
            "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 15Five, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with 15Five through native MCP adapters. Connect 6 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

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 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 15Five to LangChain via MCP

Follow these steps to integrate the 15Five 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 6 tools from 15Five via MCP

Why Use LangChain with the 15Five MCP Server

LangChain provides unique advantages when paired with 15Five through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine 15Five 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 15Five queries for multi-turn workflows

15Five + LangChain Use Cases

Practical scenarios where LangChain combined with the 15Five MCP Server delivers measurable value.

RAG with live data: combine 15Five tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query 15Five, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain 15Five tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every 15Five tool call, measure latency, and optimize your agent's performance

15Five MCP Tools for LangChain (6)

These 6 tools become available when you connect 15Five to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting 15Five to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

15Five + LangChain FAQ

Common questions about integrating 15Five MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.