Evolio MCP Server for LlamaIndexGive LlamaIndex instant access to 14 tools to Check Evolio Status, Create Case, Create Task, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Evolio 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 App Connector for LlamaIndex
The Evolio app connector for LlamaIndex is a standout in the Document Management category — giving your AI agent 14 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Evolio. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Evolio?"
)
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 Evolio MCP Server
Connect your Evolio account to any AI agent and manage your law firm operations through natural conversation.
LlamaIndex agents combine Evolio tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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
- Case Management — Create, update, list, and inspect cases with status, assigned attorneys, deadlines, and milestones
- Status Filtering — Filter cases by status (active, pending, closed, archived) to focus on what needs attention
- Task Tracking — Create tasks linked to cases, list all tasks with due dates and assignees, and inspect individual task details
- Client Profiles — Browse all clients with contact information and associated case counts, and inspect full client profiles
- Document Access — List all documents uploaded per client or per case for easy reference during consultations
The Evolio MCP Server exposes 14 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.
All 14 Evolio tools available for LlamaIndex
When LlamaIndex connects to Evolio through Vinkius, your AI agent gets direct access to every tool listed below — spanning case-tracking, law-firm-operations, task-management, 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 connectivity
Create a case
Create a task
Get case details
Get client details
Get task details
List case files
List cases
List cases by status
List client files
List clients
List all tasks
List tasks by case
Update a case
Connect Evolio to LlamaIndex via MCP
Follow these steps to wire Evolio into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Evolio MCP Server
LlamaIndex provides unique advantages when paired with Evolio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Evolio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Evolio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Evolio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Evolio tools were called, what data was returned, and how it influenced the final answer
Evolio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Evolio MCP Server delivers measurable value.
Hybrid search: combine Evolio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Evolio 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 Evolio for fresh data
Analytical workflows: chain Evolio queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Evolio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Evolio immediately.
"Show all active cases and the pending tasks for the one with the nearest deadline."
"List all documents for client Maria Santos and the files attached to her residence permit case."
"Create a new family law case for client Jan Novák and add a task to file the initial petition by next Friday."
Troubleshooting Evolio MCP Server with LlamaIndex
Common issues when connecting Evolio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEvolio + LlamaIndex FAQ
Common questions about integrating Evolio MCP Server with LlamaIndex.