How to Use the Focus Admin MCP in LangChain
Run multi-step fiscal compliance chains in LangChain by hooking your agent directly to the Focus Admin MCP server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Focus Admin MCP to LangChain
Create your Vinkius account to connect Focus Admin to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Correct and void tax documents in your chains
The `send_cc_e` tool lets your LangChain agent submit Correction Letters for NF-e directly through the Focus NFe API. This tool changes incorrect invoice data on the fly so you don't have to leave your code editor. If you make a mistake, you can use `cancel_cc_e` to undo the correction or `inutilize_numbering` to flag unused invoice numbers as void. Your agents can run these tools back-to-back in a single execution pipeline to handle compliance errors instantly.
Build multi-step fiscal audit pipelines in LangChain
The `list_nfe_by_period` tool fetches invoice data within specific timeframes to feed your LangChain data pipelines. Your agent can pull this tax data, parse it, and automatically decide which invoices require further inspection. By chaining this with `download_nfe_xml`, the agent downloads the raw XML files for any flagged documents without manual intervention. LangSmith traces every step of this document retrieval pipeline so you can monitor latency and token costs.
Automatically sync municipal service invoices
The `list_nfse_emitted` tool retrieves all service invoices issued by your company for any given date range. This tool works alongside `list_nfse_received` to pull incoming service invoices from your vendors. Connecting these tools to a LangChain agent lets you build automated reconciliation workflows. The agent checks both endpoints, compares the records against your internal database, and flags discrepancies for your accounting team.
Set up Focus Admin MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Focus Admin tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"focus-admin-mcp": {
"transport": "http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
result = await agent.ainvoke({
"messages": "List recent Focus Admin transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Focus NFe. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Focus Admin MCP in LangChain
Use it with your favorite AI tools
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