Keywords AI MCP Server for LangChainGive LangChain instant access to 11 tools to Check Keywordsai Status, Get Analytics, Get Credits, and more
LangChain is the leading Python framework for composable LLM applications. Connect Keywords AI 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 App Connector for LangChain
The Keywords AI app connector for LangChain is a standout in the Developer Tools category — giving your AI agent 11 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({
"keywords-ai": {
"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 Keywords AI, 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 Keywords AI MCP Server
Connect your Keywords AI account to any AI agent and monitor LLM performance.
LangChain's ecosystem of 500+ components combines seamlessly with Keywords AI through native MCP adapters. Connect 11 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
- Request Logs — List and filter all LLM API calls by model
- Cost Tracking — Monitor credit balance and usage statistics
- Analytics — View cost trends, latency metrics, and error rates
- Model Catalog — Browse available LLM models
- Team Management — List users and view activity
- Alerts — Review monitoring thresholds
The Keywords AI MCP Server exposes 11 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.
All 11 Keywords AI tools available for LangChain
When LangChain connects to Keywords AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-observability, api-gateway, cost-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Get analytics dashboard
Get credit balance
Get request details
Get usage statistics
Get user details
List monitoring alerts
List available models
List API request logs
List requests by model
List team users
Connect Keywords AI to LangChain via MCP
Follow these steps to wire Keywords AI into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 Keywords AI MCP Server
LangChain provides unique advantages when paired with Keywords AI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Keywords AI 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 Keywords AI queries for multi-turn workflows
Keywords AI + LangChain Use Cases
Practical scenarios where LangChain combined with the Keywords AI MCP Server delivers measurable value.
RAG with live data: combine Keywords AI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Keywords AI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Keywords AI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Keywords AI tool call, measure latency, and optimize your agent's performance
Example Prompts for Keywords AI in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Keywords AI immediately.
"Show my current credit balance."
"List all requests using GPT-4."
"Show analytics dashboard."
Troubleshooting Keywords AI MCP Server with LangChain
Common issues when connecting Keywords AI to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKeywords AI + LangChain FAQ
Common questions about integrating Keywords AI 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.