Kippy MCP Server for LangChainGive LangChain instant access to 13 tools to List Annual Scores, List Appraisals, List Audit Logs, and more
LangChain is the leading Python framework for composable LLM applications. Connect Kippy through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Kippy MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"kippy": {
"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 Kippy, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Kippy MCP Server
Connect your Kippy account to any AI agent and manage performance tracking through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Kippy through native MCP adapters. Connect 13 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
- OKR Tracking — Browse objectives and key results with progress percentages
- Goal Management — Create, update, and track individual and team goals
- Performance Reviews — Access review cycles, feedback, and ratings
- Team Monitoring — Track team performance metrics and alignment
- Progress Reports — Generate performance summaries and trend analysis
The Kippy MCP Server exposes 13 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 13 Kippy tools available for LangChain
When LangChain connects to Kippy through Vinkius, your AI agent gets direct access to every tool listed below — spanning okr-tracking, performance-management, goal-setting, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
List annual scores on Kippy
List annual performance metrics
List appraisals on Kippy
List performance reviews and appraisals
List audit logs on Kippy
List system audit logs
List competencies on Kippy
List skills and competency tracking
List feedback on Kippy
List feedback entries
List kpi scores on Kippy
List KPIs with their current scores
List kpis on Kippy
List all KPIs for the organization
List notes on Kippy
List comments and annotations
List project scores on Kippy
List projects with their current scores
List projects on Kippy
List organizational projects
List team scores on Kippy
List team performance scores
List teams on Kippy
List teams in the organization
List users on Kippy
List users in Kippy
Connect Kippy to LangChain via MCP
Follow these steps to wire Kippy into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Kippy MCP Server
LangChain provides unique advantages when paired with Kippy through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Kippy 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 Kippy queries for multi-turn workflows
Kippy + LangChain Use Cases
Practical scenarios where LangChain combined with the Kippy MCP Server delivers measurable value.
RAG with live data: combine Kippy tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Kippy, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Kippy tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Kippy tool call, measure latency, and optimize your agent's performance
Example Prompts for Kippy in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Kippy immediately.
"Show all OKRs for Q2 and the team members falling behind."
"Show the latest performance review cycle and ratings."
"Create a new goal for the Engineering team and track alignment."
Troubleshooting Kippy MCP Server with LangChain
Common issues when connecting Kippy to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKippy + LangChain FAQ
Common questions about integrating Kippy MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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