BallotReady MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BallotReady as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 BallotReady. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in BallotReady?"
)
print(response)
asyncio.run(main())
* 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 BallotReady MCP Server
Empower your AI agent to navigate the complex landscape of civic engagement with BallotReady, the leading platform for nonpartisan election information. By connecting BallotReady to your agent, you transform dense voter data into a natural conversation. Your agent can instantly identify upcoming local, state, and national elections based on a specific address, retrieve detailed candidate profiles, audit voting districts, and even explain ballot measures without you ever searching through government portals. Whether you're building a voter outreach tool or a civic dashboard, your agent acts as a direct, reliable bridge to the democratic process.
LlamaIndex agents combine BallotReady 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
- Election Discovery — Find all upcoming elections (local, state, and federal) based on any physical address in the United States.
- Candidate Profiling — Retrieve comprehensive profiles for candidates running for office, including their positions and bios.
- District Mapping — Instantly match any address to its specific voting districts to understand local representation.
- Ballot Insights — Access and explain specific ballot measures and referendums for upcoming elections directly from chat.
- Officeholder Auditing — List current officeholders for specific districts to maintain an accurate view of elected leadership.
The BallotReady 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 BallotReady to LlamaIndex via MCP
Follow these steps to integrate the BallotReady MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from BallotReady
Why Use LlamaIndex with the BallotReady MCP Server
LlamaIndex provides unique advantages when paired with BallotReady through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BallotReady tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BallotReady tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BallotReady, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BallotReady tools were called, what data was returned, and how it influenced the final answer
BallotReady + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BallotReady MCP Server delivers measurable value.
Hybrid search: combine BallotReady real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BallotReady to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BallotReady for fresh data
Analytical workflows: chain BallotReady queries with LlamaIndex's data connectors to build multi-source analytical reports
BallotReady MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect BallotReady to LlamaIndex via MCP:
get_account_check
Verify BallotReady connection
get_ballot_measures
Retrieve ballot measures for a specific election
get_candidate
Get detailed profile for a specific candidate
get_districts_by_address
Convenience tool to get districts by address
get_elections_by_address
Convenience tool to get elections by address
get_officeholders
Retrieve current officeholders for districts
list_candidates
List candidates running for office
list_districts
Match an address to specific voting districts
list_elections
Find upcoming elections based on a specific address
list_positions
List specific offices up for election
Example Prompts for BallotReady in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BallotReady immediately.
"What elections are coming up for the address 123 Main St, Chicago, IL?"
"Show me the profile for candidate ID 98765."
"Which voting districts cover 1600 Pennsylvania Ave NW, Washington, DC?"
Troubleshooting BallotReady MCP Server with LlamaIndex
Common issues when connecting BallotReady to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBallotReady + LlamaIndex FAQ
Common questions about integrating BallotReady MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect BallotReady with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BallotReady to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.