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Focus Admin MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Focus Admin
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Data-first architecture: LlamaIndex agents combine Focus Admin tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Focus Admin tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Focus Admin, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine Focus Admin real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Focus Admin to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Focus Admin for fresh data

04

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:

01

cancel_cc_e

Cancel a previously sent CC-e

02

distribute_dfe

Distribute DF-e documents (consult NSU)

03

download_event_xml

Download XML for a specific NF-e event

04

download_nfe_danfe

Download NF-e DANFE PDF

05

download_nfe_xml

Download NF-e XML document

06

inutilize_numbering

Inutilize a range of NF-e numbering

07

list_nfe_by_period

List NF-e documents by period

08

list_nfse_emitted

List NFS-e emitted by the company

09

list_nfse_received

List NFS-e received (tomadas) by the company

10

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.

01

"Send a CC-e for NF-e REF-001 correcting the buyer's phone number."

02

"Inutilize NF-e numbering from 1000 to 1050 for series 1, model 55, year 2026."

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Focus Admin + LlamaIndex FAQ

Common questions about integrating Focus Admin MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Focus Admin tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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.