OpenFEC (Federal Election Commission) MCP Server for LlamaIndexGive LlamaIndex instant access to 21 tools to Get Candidate, Get Candidate History, Get Candidate Totals, and more

Name: OpenFEC (Federal Election Commission)
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenFEC (Federal Election Commission) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The OpenFEC (Federal Election Commission) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 21 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

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 OpenFEC (Federal Election Commission). "
            "You have 21 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in OpenFEC (Federal Election Commission)?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenFEC (Federal Election Commission) MCP Server

Connect to the official OpenFEC API and bring transparency to federal election data through your AI agent. This server provides direct access to the Federal Election Commission's comprehensive database of campaign finance information.

LlamaIndex agents combine OpenFEC (Federal Election Commission) tool responses with indexed documents for comprehensive, grounded answers. Connect 21 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

Candidate Research — List and search for individuals running for President, Senate, or House with filters for state, party, and cycle.
Financial Analytics — Retrieve aggregated financial totals and summaries for specific candidates to understand fundraising and spending.
Committee Tracking — Explore political committees (PACs, party committees) and their detailed metadata and filings.
Historical Context — Access the history of candidate filings and designations over multiple election cycles.
Deep Metadata — Fetch detailed profiles for any candidate or committee using their unique FEC identifiers.

The OpenFEC (Federal Election Commission) MCP Server exposes 21 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 21 OpenFEC (Federal Election Commission) tools available for LlamaIndex

When LlamaIndex connects to OpenFEC (Federal Election Commission) through Vinkius, your AI agent gets direct access to every tool listed below — spanning campaign-finance, election-data, political-transparency, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get candidate on OpenFEC (Federal Election Commission)

Get detailed information for a specific candidate by ID

get

Get candidate history on OpenFEC (Federal Election Commission)

Get the history of a candidate filings and designations

get

Get candidate totals on OpenFEC (Federal Election Commission)

Get aggregated financial totals for a specific candidate

get

Get committee on OpenFEC (Federal Election Commission)

Get detailed information for a specific committee by ID

get

Get committee history on OpenFEC (Federal Election Commission)

Get the history of a committee characteristics over time

get

Get totals by committee type on OpenFEC (Federal Election Commission)

Get financial totals for a specific committee type

get

Get totals by entity on OpenFEC (Federal Election Commission)

Get financial totals aggregated by candidate or committee entity

get

Get totals officer summary on OpenFEC (Federal Election Commission)

Summarize financial data by committee officer

list

List candidates on OpenFEC (Federal Election Commission)

Fetch a list of candidates with various filters

list

List committees on OpenFEC (Federal Election Commission)

Fetch a list of committees with filters

list

List filings on OpenFEC (Federal Election Commission)

List all filings (electronic and paper) with filters

list

List reports on OpenFEC (Federal Election Commission)

Fetch financial reports filed by specific types of committees

list

List schedule a on OpenFEC (Federal Election Commission)

Itemized Receipts: Contributions from individuals and committees

list

List schedule b on OpenFEC (Federal Election Commission)

Itemized Disbursements: Operating expenditures, transfers, refunds

list

List schedule c on OpenFEC (Federal Election Commission)

Loans: Information on loans received or made by committees

list

List schedule d on OpenFEC (Federal Election Commission)

Debts: Debts and obligations owed by or to committees

list

List schedule e on OpenFEC (Federal Election Commission)

Independent Expenditures: Spending to support/oppose candidates

list

List schedule f on OpenFEC (Federal Election Commission)

Coordinated Party Expenditures: Spending in coordination with candidates

list

List state election offices on OpenFEC (Federal Election Commission)

Get contact information for state election offices

Search candidates on OpenFEC (Federal Election Commission)

Search for candidates by name or other attributes

Search committees on OpenFEC (Federal Election Commission)

Search for committees by name or ID

Connect OpenFEC (Federal Election Commission) to LlamaIndex via MCP

Follow these steps to wire OpenFEC (Federal Election Commission) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 21 tools from OpenFEC (Federal Election Commission)

Why Use LlamaIndex with the OpenFEC (Federal Election Commission) MCP Server

LlamaIndex provides unique advantages when paired with OpenFEC (Federal Election Commission) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine OpenFEC (Federal Election Commission) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain OpenFEC (Federal Election Commission) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query OpenFEC (Federal Election Commission), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what OpenFEC (Federal Election Commission) tools were called, what data was returned, and how it influenced the final answer

OpenFEC (Federal Election Commission) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the OpenFEC (Federal Election Commission) MCP Server delivers measurable value.

Hybrid search: combine OpenFEC (Federal Election Commission) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query OpenFEC (Federal Election Commission) 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 OpenFEC (Federal Election Commission) for fresh data

Analytical workflows: chain OpenFEC (Federal Election Commission) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for OpenFEC (Federal Election Commission) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with OpenFEC (Federal Election Commission) immediately.

"List all presidential candidates for the 2024 election cycle."

"Show me the financial totals for candidate ID P00000001 in the 2024 cycle."

"Search for political committees with 'Action' in their name."

Troubleshooting OpenFEC (Federal Election Commission) MCP Server with LlamaIndex

Common issues when connecting OpenFEC (Federal Election Commission) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

OpenFEC (Federal Election Commission) + LlamaIndex FAQ

Common questions about integrating OpenFEC (Federal Election Commission) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query OpenFEC (Federal Election Commission) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.