Bring Campaign Finance
to Mastra AI
Learn how to connect OpenFEC (Federal Election Commission) to Mastra AI and start using 21 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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
- Subscribe to this server
- Enter your OpenFEC API Key
- 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 detailed information for a specific candidate by ID
Get the history of a candidate filings and designations
Get aggregated financial totals for a specific candidate
Get detailed information for a specific committee by ID
Get the history of a committee characteristics over time
Get financial totals for a specific committee type
Get financial totals aggregated by candidate or committee entity
Summarize financial data by committee officer
Fetch a list of candidates with various filters
Fetch a list of committees with filters
List all filings (electronic and paper) with filters
Fetch financial reports filed by specific types of committees
Itemized Receipts: Contributions from individuals and committees
Itemized Disbursements: Operating expenditures, transfers, refunds
Loans: Information on loans received or made by committees
Debts: Debts and obligations owed by or to committees
Independent Expenditures: Spending to support/oppose candidates
Coordinated Party Expenditures: Spending in coordination with candidates
Get contact information for state election offices
Search for candidates by name or other attributes
Search for committees by name or ID
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and OpenFEC (Federal Election Commission) tool infrastructure. Connect 21 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add OpenFEC (Federal Election Commission) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every OpenFEC (Federal Election Commission) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
OpenFEC (Federal Election Commission) in Mastra AI
OpenFEC (Federal Election Commission) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenFEC (Federal Election Commission) to Mastra AI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for OpenFEC (Federal Election Commission) in Mastra AI
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 Mastra AI 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.
* 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
How Vinkius secures
OpenFEC (Federal Election Commission) for Mastra AI
Every tool call from Mastra AI 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.
Frequently asked questions
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.
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.
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.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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