How to Use the vote.direct MCP in LlamaIndex
Index election data into vector stores using LlamaIndex's knowledge-augmented AI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up vote.direct MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all vote.direct MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
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