Plausible MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Plausible 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
Vinkius supports streamable HTTP and SSE.
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({
"plausible": {
"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 Plausible, 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 Plausible MCP Server
Connect your Plausible Analytics account to any AI agent and take full control of your website performance metrics through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Plausible through native MCP adapters. Connect 10 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
- Real-time Insights — Get the current number of active visitors on your site.
- Aggregate Performance — Retrieve total visitors, pageviews, bounce rates, and visit durations for any period (30d, 7d, today).
- Growth Tracking — Fetch timeseries data to understand your traffic trends over time.
- Audience Breakdown — Analyze your visitors by top sources, pages, countries, devices, browsers, and operating systems.
- Custom Property Analysis — Break down stats by any custom property supported by the Plausible API.
The Plausible MCP Server exposes 10 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 Plausible to LangChain via MCP
Follow these steps to integrate the Plausible 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 10 tools from Plausible via MCP
Why Use LangChain with the Plausible MCP Server
LangChain provides unique advantages when paired with Plausible through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Plausible 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 Plausible queries for multi-turn workflows
Plausible + LangChain Use Cases
Practical scenarios where LangChain combined with the Plausible MCP Server delivers measurable value.
RAG with live data: combine Plausible tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Plausible, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Plausible tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Plausible tool call, measure latency, and optimize your agent's performance
Plausible MCP Tools for LangChain (10)
These 10 tools become available when you connect Plausible to LangChain via MCP:
get_aggregate_stats
, for a period (e.g., "30d", "7d", "day"). Get aggregate site statistics
get_custom_breakdown
g., "visit:source", "event:page"). Get breakdown by custom property
get_realtime_visitors
Get current active visitors
get_timeseries_stats
Get site stats over time
get_top_browsers
Get visitors by browser
get_top_countries
Get visitors by country
get_top_devices
Get visitors by device type
get_top_os
Get visitors by operating system
get_top_pages
Get most visited pages
get_top_sources
Get top traffic sources
Example Prompts for Plausible in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Plausible immediately.
"How many visitors are on my site right now?"
"Show me the top 5 pages by traffic for the last 7 days."
"What was my bounce rate for the last 30 days?"
Troubleshooting Plausible MCP Server with LangChain
Common issues when connecting Plausible to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPlausible + LangChain FAQ
Common questions about integrating Plausible 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?
Connect Plausible 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 Plausible to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.