Reliable financial data access and trust in outputs are still the bottleneck in adopting AI in banking, consulting and investment firms. We built Fira MCP to solve that, starting from for teams adopting Claude. Our data connector lets your AI read and cite SEC and international filings, UK Companies House, market data, and earnings transcripts. It works with Claude, Claude for Excel, ChatGPT, and Copilot, while setup takes 3 minutes and it's free to try - https://firaresearch.com/mcp.

https://youtu.be/JoEY1imdVhw

Problem

Many banking, consulting, and investment firms are moving day-to-day AI work to Claude. But reliable data access and trust in the outputs are still the bottleneck.

Solution - Fira MCP

Fira MCP plugs directly into Claude, ChatGPT, Copilot, and Claude for Excel as a data connector. Your AI gets access to filings, transcripts, and market data, with numbers linked back to the exact paragraph or row in the source document. It handles scanned PDFs, nested tables, and works across tens of documents in a single research thread.

Available datasets

• SEC Filings — 8,000+ active US companies (10-K, 10-Q, 8-K, and more)
• UK Companies House — 5M+ private companies, including scanned accounts
• International filings — 10,000+ companies across 50+ countries
• Earnings call transcripts — full transcripts with analyst Q&A
• Market data — 20+ years of daily stock and FX, US and global
• Custom datasets — proprietary and third-party integrations for enterprise

Use cases

I. Peer comparison in Excel — pull financials, strategy, and risk factors across competitors directly from filings.

II. Corporate structure mapping — trace ownership and financials through complex group structures from UK filings.

III. Earnings call analysis — review management commentary and analyst Q&A for sentiment and evasive answers.

IV. Document verification — cross-reference every number against source, catch rounding deltas and inconsistencies.

Asks

Looking to connect with finance professionals (banking, PE, credit, hedge funds, wealth) who want their AI assistant to actually do useful work.