Apperio 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 Apperio 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 Apperio. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Apperio?"
)
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 Apperio MCP Server
The Apperio MCP Server provides a powerful natural language interface to your legal spend management platform. Connect your Apperio account to your AI agent to gain real-time visibility into your legal matters, track e-billing status, and streamline your invoice approval workflows.
LlamaIndex agents combine Apperio 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.
Key Capabilities
- Matter Tracking — List all legal matters and get detailed header information for any specific case.
- E-billing Management — Access your invoices, view detailed line items, and track total spend across firms.
- Workflow Automation — Approve or reject invoices directly from your chat interface and view current approval paths.
- Matter Categorization — Manage and apply tags to your matters for better organization and reporting.
- Real-time Insights — Get instant answers about your legal cases and financial status without navigating complex dashboards.
The Apperio 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 Apperio to LlamaIndex via MCP
Follow these steps to integrate the Apperio 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 Apperio
Why Use LlamaIndex with the Apperio MCP Server
LlamaIndex provides unique advantages when paired with Apperio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Apperio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Apperio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Apperio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Apperio tools were called, what data was returned, and how it influenced the final answer
Apperio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Apperio MCP Server delivers measurable value.
Hybrid search: combine Apperio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Apperio 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 Apperio for fresh data
Analytical workflows: chain Apperio queries with LlamaIndex's data connectors to build multi-source analytical reports
Apperio MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Apperio to LlamaIndex via MCP:
approve_invoice
Approve a legal invoice
get_account_check
Verify Apperio account connection
get_invoice_approval_workflow
Get the approval workflow path for an invoice
get_invoice_details
Get full details for a specific invoice
get_matter_header
Get high-level information about a specific matter
list_invoices
List all e-billing invoices available in Apperio
list_matter_tags
List all available matter tags
list_matters
List all legal matters tracked in Apperio
reject_invoice
Should usually be followed by a reason in the platform. Reject a legal invoice
tag_matter
Apply tags to a specific matter
Example Prompts for Apperio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Apperio immediately.
"List all active legal matters in Apperio."
"Show me the last 5 invoices pending approval."
"Approve invoice with ID 'inv_12345'."
Troubleshooting Apperio MCP Server with LlamaIndex
Common issues when connecting Apperio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpApperio + LlamaIndex FAQ
Common questions about integrating Apperio 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 Apperio 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 Apperio to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.