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How to Use the USCIS Case Status (Immigration) MCP in LlamaIndex

Index and search your USCIS Case Status (Immigration) data with LlamaIndex.

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LlamaIndex

Connect USCIS Case Status (Immigration) MCP to LlamaIndex

Create your Vinkius account to connect USCIS Case Status (Immigration) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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LlamaIndex: Indexing status history

The power here is that the output from `get_case_status` doesn't just vanish. You index that USCIS processing history into a vector store. This means past results become searchable knowledge. Instead of just getting a live status, you can query your entire collection of immigration case statuses and get answers grounded in actual API data.

Building RAG applications with MCP Server

LlamaIndex builds Retrieval-Augmented Generation (RAG) apps using this MCP Server. You combine live USCIS status checks with internal documents—say, a lawyer's notes and the official case record. The agent queries everything together, giving you one unified answer that references both your files and the latest immigration data.

Querying past case records

Need to know what a certain receipt number looked like six months ago? You can query your knowledge index for historical USCIS status updates. It's not just a real-time check; it’s a memory function. The developer uses LlamaIndex to ensure the answers are always supported by data from this MCP Server.

Setup guide

Set up USCIS Case Status (Immigration) MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all USCIS Case Status (Immigration) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to USCIS Case Status (Immigration) tools.",
)
response = await agent.run("List recent USCIS Case Status (Immigration) data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USCIS. 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 USCIS Case Status (Immigration) MCP in LlamaIndex

LlamaIndex indexes the raw output of the `get_case_status` tool. This lets you search across multiple status checks to understand trends or historical changes, which is more powerful than a single live query.
Yes. You treat the API output as just another document type in your vector store. This allows the agent to cross-reference, for example, a client letter against their current case status.
It is. The core functionality of `get_case_status` provides the raw data you need to index. You feed that structured immigration processing history into LlamaIndex.
It supports the necessary inputs—the receipt numbers—to provide rich data. By indexing that output, LlamaIndex allows for far more sophisticated querying than a simple API call.
The server processes the USCIS case receipt number and returns detailed immigration processing history. Always ensure these indexed results are encrypted in your vector store.

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