AlphaCreek: An MCP Server That Chunks SEC Filings to Cut Token Usage by 85%
AlphaCreek is a free MCP server that provides a smarter interface to SEC filings (10-K, 10-Q, with 8-K and earnings transcripts coming soon). Instead of dumping the entire filing (e.g., an 80,000+ token 10-K) into Claude's context, it first calls get_filing_toc to return a structured table of contents. The agent then navigates to the relevant section and fetches only 2–4 paragraphs, preserving a reader_url that links directly to the original EDGAR HTML for verifiable citations.
How It Works
- Split filings into logical sections by title and formatting (preserving text under each heading)
- Return a navigation map (TOC) instead of raw text
- Agent fetches only needed sections, reducing token usage ~85% vs. raw retrieval
- Each chunk includes a direct link to the source passage in the EDGAR filing
Workflow Comparison
Before: Agent calls filing API → gets wall of text → burns context → returns answer with no traceable source.
After: Agent calls get_filing_toc → sees map → navigates to relevant node → pulls 2–4 paragraphs → cites exact line.
Key Details
- Covers 6,000+ US public companies
- Currently supports 10-K and 10-Q; 8-K and earnings transcripts planned
- Model agnostic (tested with Claude and GPT, Gemini untested)
- Free to use at alphacreek.ai
- Author recommends updating Claude custom instructions for optimal results
Who It's For
Developers and analysts using AI agents for SEC filing analysis who want to reduce costs, improve response accuracy, and maintain verifiability.
📖 Read the full source: r/ClaudeAI
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