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How to Use the vote.direct MCP in LlamaIndex

Index election data into vector stores using LlamaIndex's knowledge-augmented AI.

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LlamaIndex

Connect vote.direct MCP to LlamaIndex

Create your Vinkius account to connect vote.direct 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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Creating Searchable Election Knowledge

The `get_ballot_information` tool retrieves ballot details for a specific election and address. By indexing this output, the developer creates a searchable knowledge base of past balloting practices. Users can query historical data—like which ballots were available in 2022—and get answers grounded in actual API results.

Retrieving Polling Location Records

Need to find polling spots? The `get_polling_locations` tool returns locations near an address. LlamaIndex takes this list and indexes it, allowing you to query location data semantically months later. You don't just get a list; you get context about the location's historical use.

Indexing Voter Requirements

The `get_registration_details` tool provides voter deadlines and links for a state. Indexing this data means your RAG application can answer complex questions like, 'What was the registration deadline for California voters in 2021?' The output becomes part of the unified, queryable index.

Setup guide

Set up vote.direct 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 vote.direct 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 vote.direct tools.",
)
response = await agent.run("List recent vote.direct data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by vote.direct. 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 vote.direct MCP in LlamaIndex

LlamaIndex doesn't just call tools; it indexes the results into a vector store for semantic search. When you run `get_upcoming_elections`, that resulting list of elections gets stored, making it searchable knowledge.
Yes. You can build RAG applications where live API data from tools like `get_polling_locations` and documents are combined into one index. The FunctionAgent processes the results of these different MCP Server calls.
The server covers general election metadata, including upcoming elections by ZIP code (`get_upcoming_elections`) and specific ballot information (`get_ballot_information`). All this structured output can be indexed.
Because the tool output is indexed, your answers are grounded in actual API data returned by `vote.direct`. This prevents hallucinations and gives you verifiable sources for every claim.
This server touches voter registration deadlines, polling locations, and election metadata (ZIP codes). All this structured information forms the basis of your searchable knowledge index.

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