DISCO MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DISCO as an MCP tool provider through 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 DISCO. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DISCO?"
)
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 DISCO MCP Server
Integrate DISCO, the leading legal technology platform, directly into your AI workflow. Manage your legal matters, monitor document ingestion and metadata, track document tags for review, and oversee your authorized users using natural language.
LlamaIndex agents combine DISCO tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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 detailed settings and statuses for all your legal matters in DISCO.
- Document Intelligence — Access full technical metadata for documents, including custodians and file properties.
- Tag Management — List and review document tags and taxonomies used for legal review and organization.
- Review Team Monitoring — Track authorized users and identify teams assigned to specific legal cases.
The DISCO MCP Server exposes 10 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 DISCO to LlamaIndex via MCP
Follow these steps to integrate the DISCO 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 10 tools from DISCO
Why Use LlamaIndex with the DISCO MCP Server
LlamaIndex provides unique advantages when paired with DISCO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DISCO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DISCO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DISCO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DISCO tools were called, what data was returned, and how it influenced the final answer
DISCO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DISCO MCP Server delivers measurable value.
Hybrid search: combine DISCO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DISCO 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 DISCO for fresh data
Analytical workflows: chain DISCO queries with LlamaIndex's data connectors to build multi-source analytical reports
DISCO MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DISCO to LlamaIndex via MCP:
get_disco_account_metadata
Retrieve metadata and usage limits for your DISCO account
get_document_metadata
Get the full technical metadata for a specific document
get_matter_details
Get detailed settings and information for a specific legal matter
list_authorized_users
List all users with access to your DISCO account
list_document_tags
List all tags used to categorize documents in a specific matter
list_legal_matters
List all legal matters in your DISCO account
list_matter_access_users
List only the users who have explicit access to a specific matter
list_matter_documents
List all documents associated with a specific legal matter
list_recently_ingested_documents
Identify documents that have been recently uploaded to a matter
search_matter_documents
Search for specific keywords or metadata across documents in a matter
Example Prompts for DISCO in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DISCO immediately.
"List all active legal matters."
"Show me the metadata for document 'DOC-9988'."
"Search for documents in 'Project Aurora' containing 'contract termination'."
Troubleshooting DISCO MCP Server with LlamaIndex
Common issues when connecting DISCO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDISCO + LlamaIndex FAQ
Common questions about integrating DISCO 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 DISCO 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 DISCO to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.