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LlamaIndexFramework
LlamaIndex
OpenFEC (Federal Election Commission) MCP Server

Bring Campaign Finance
to LlamaIndex

Learn how to connect OpenFEC (Federal Election Commission) to LlamaIndex and start using 21 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get CandidateGet Candidate HistoryGet Candidate TotalsGet CommitteeGet Committee HistoryGet Totals By Committee TypeGet Totals By EntityGet Totals Officer SummaryList CandidatesList CommitteesList FilingsList ReportsList Schedule AList Schedule BList Schedule CList Schedule DList Schedule EList Schedule FList State Election OfficesSearch CandidatesSearch Committees

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
OpenFEC (Federal Election Commission)

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your OpenFEC API Key
  3. Start querying election data from Claude, Cursor, or any MCP client

Who is this for?

  • Journalists & Researchers — quickly verify campaign finance figures and candidate statuses without manual database exports.
  • Data Analysts — pull structured election data directly into your workflow for political trend analysis.
  • Civic Tech Developers — integrate official government data into applications with ease.

Built-in capabilities (21)

get_candidate

Get detailed information for a specific candidate by ID

get_candidate_history

Get the history of a candidate filings and designations

get_candidate_totals

Get aggregated financial totals for a specific candidate

get_committee

Get detailed information for a specific committee by ID

get_committee_history

Get the history of a committee characteristics over time

get_totals_by_committee_type

Get financial totals for a specific committee type

get_totals_by_entity

Get financial totals aggregated by candidate or committee entity

get_totals_officer_summary

Summarize financial data by committee officer

list_candidates

Fetch a list of candidates with various filters

list_committees

Fetch a list of committees with filters

list_filings

List all filings (electronic and paper) with filters

list_reports

Fetch financial reports filed by specific types of committees

list_schedule_a

Itemized Receipts: Contributions from individuals and committees

list_schedule_b

Itemized Disbursements: Operating expenditures, transfers, refunds

list_schedule_c

Loans: Information on loans received or made by committees

list_schedule_d

Debts: Debts and obligations owed by or to committees

list_schedule_e

Independent Expenditures: Spending to support/oppose candidates

list_schedule_f

Coordinated Party Expenditures: Spending in coordination with candidates

list_state_election_offices

Get contact information for state election offices

search_candidates

Search for candidates by name or other attributes

search_committees

Search for committees by name or ID

Why LlamaIndex?

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.

  • 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

L
See it in action

OpenFEC (Federal Election Commission) in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

OpenFEC (Federal Election Commission) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect OpenFEC (Federal Election Commission) to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for OpenFEC (Federal Election Commission) in LlamaIndex

The OpenFEC (Federal Election Commission) 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. All 21 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

OpenFEC (Federal Election Commission)
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

The Vinkius Advantage

How Vinkius secures OpenFEC (Federal Election Commission) for LlamaIndex

Every tool call from LlamaIndex to the OpenFEC (Federal Election Commission) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I find out how much a specific candidate has raised in total for an election cycle?

Yes! Use the get_candidate_totals tool with the candidate's ID and the desired cycle. It will return aggregated financial summaries including total receipts and disbursements.

02

How do I search for all candidates running for the Senate in a specific state?

You can use the list_candidates tool and provide 'S' for the office and the two-letter state abbreviation (e.g., 'CA' for California) to filter the results.

03

Is it possible to see the history of a candidate's previous filings?

Absolutely. The get_candidate_history tool allows you to retrieve historical data for a candidate, showing their filings and designations over time.

04

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.

05

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.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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