Clio MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Clio through the 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({
"clio": {
"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 Clio, 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 Clio MCP Server
Connect your Clio account to any AI agent and take full control of your legal practice management through natural conversation. Streamline how you manage matters, contacts, and billing natively.
LangChain's ecosystem of 500+ components combines seamlessly with Clio through native MCP adapters. Connect 8 tools via the 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
- Matter Oversight — List and retrieve details for all legal matters and cases under your administration natively
- Contact Intelligence — Access and monitor all contacts, including people and companies, flawlessly
- Task Management — List and review firm tasks and to-dos to keep your practice organized securely
- Billing Logistics — Access generated bills and monitor their payment status to manage cash flow flawlessly
- Firm Management — List all internal users and attorneys within your law firm flawlessly
- Integrated Visibility — Retrieve detailed matter metadata including status and responsible attorneys directly within your workspace flawlessly
The Clio MCP Server exposes 8 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 Clio to LangChain via MCP
Follow these steps to integrate the Clio 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 8 tools from Clio via MCP
Why Use LangChain with the Clio MCP Server
LangChain provides unique advantages when paired with Clio through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Clio 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 Clio queries for multi-turn workflows
Clio + LangChain Use Cases
Practical scenarios where LangChain combined with the Clio MCP Server delivers measurable value.
RAG with live data: combine Clio tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Clio, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Clio tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Clio tool call, measure latency, and optimize your agent's performance
Clio MCP Tools for LangChain (8)
These 8 tools become available when you connect Clio to LangChain via MCP:
get_matter
Includes client, practice area, responsible attorney, dates, and status. Get case details
list_activities
Optionally filter by matter. Includes date, hours, rate, notes, and billing status. List time entries
list_bills
List invoices
list_calendar_entries
Includes summary, start/end times, location, and linked matter. List calendar events
list_contacts
List firm contacts
list_documents
Filter by matter. Includes filename, category, creation date, and linked matter. List case documents
list_matters
Filter by status: open, closed, pending. Includes case number, description, client, and dates. List legal cases/matters
list_tasks
Filter by matter for case-specific tasks. Critical for tracking court deadlines. List tasks and deadlines
Example Prompts for Clio in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Clio immediately.
"List all my open matters in Clio."
"Show me the tasks for the 'City Refurb' matter."
"Who is the contact for the 'Jones v. Smith' case?"
Troubleshooting Clio MCP Server with LangChain
Common issues when connecting Clio to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersClio + LangChain FAQ
Common questions about integrating Clio 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 Clio 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 Clio to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
