Clio MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Clio as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Clio. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Clio?"
)
print(response)
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.
LlamaIndex agents combine Clio tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Clio MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Clio
Why Use LlamaIndex with the Clio MCP Server
LlamaIndex provides unique advantages when paired with Clio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clio tools were called, what data was returned, and how it influenced the final answer
Clio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clio MCP Server delivers measurable value.
Hybrid search: combine Clio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clio to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Clio for fresh data
Analytical workflows: chain Clio queries with LlamaIndex's data connectors to build multi-source analytical reports
Clio MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Clio to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Clio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClio + LlamaIndex FAQ
Common questions about integrating Clio MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
