Focus Admin 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 Focus Admin 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 Focus Admin. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Focus Admin?"
)
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 Focus Admin MCP Server
Connect Focus Admin to any AI agent and access advanced fiscal management tools — send Correction Letters (CC-e), inutilize NF-e numbering, distribute DF-e documents, download XMLs and DANFEs, and list all invoices by period through natural conversation.
LlamaIndex agents combine Focus Admin 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
- Send CC-e — Issue Correction Letters for authorized NF-e with minor errors
- Cancel CC-e — Cancel previously sent Correction Letters
- Inutilize Numbering — Mark damaged or lost NF-e numbering ranges as unused
- Download XML & DANFE — Retrieve authorized NF-e XML documents and DANFE PDFs
- Distribute DF-e — Query available DF-e documents for your CNPJ by NSU
- List by Period — Retrieve all NF-e or NFS-e issued or received within a date range
- Download Event XML — Get XML for specific NF-e events (manifestations, CC-e, etc.)
The Focus Admin 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 Focus Admin to LlamaIndex via MCP
Follow these steps to integrate the Focus Admin 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 Focus Admin
Why Use LlamaIndex with the Focus Admin MCP Server
LlamaIndex provides unique advantages when paired with Focus Admin through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Focus Admin tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Focus Admin tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Focus Admin, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Focus Admin tools were called, what data was returned, and how it influenced the final answer
Focus Admin + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Focus Admin MCP Server delivers measurable value.
Hybrid search: combine Focus Admin real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Focus Admin 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 Focus Admin for fresh data
Analytical workflows: chain Focus Admin queries with LlamaIndex's data connectors to build multi-source analytical reports
Focus Admin MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Focus Admin to LlamaIndex via MCP:
cancel_cc_e
Cancel a previously sent CC-e
distribute_dfe
Distribute DF-e documents (consult NSU)
download_event_xml
Download XML for a specific NF-e event
download_nfe_danfe
Download NF-e DANFE PDF
download_nfe_xml
Download NF-e XML document
inutilize_numbering
Inutilize a range of NF-e numbering
list_nfe_by_period
List NF-e documents by period
list_nfse_emitted
List NFS-e emitted by the company
list_nfse_received
List NFS-e received (tomadas) by the company
send_cc_e
Send a Correction Letter (CC-e) for NF-e
Example Prompts for Focus Admin in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Focus Admin immediately.
"Send a CC-e for NF-e REF-001 correcting the buyer's phone number."
"Inutilize NF-e numbering from 1000 to 1050 for series 1, model 55, year 2026."
"List all NF-e issued by CNPJ 12.345.678/0001-00 from 2026-03-01 to 2026-03-31."
Troubleshooting Focus Admin MCP Server with LlamaIndex
Common issues when connecting Focus Admin to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFocus Admin + LlamaIndex FAQ
Common questions about integrating Focus Admin 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 Focus Admin 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 Focus Admin to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
