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
👀 See Also
Agent Skill Harbor: GitHub-native skill management for AI agent teams
Agent Skill Harbor is an open-source platform for teams to share, track, and govern AI agent skills using GitHub-native workflows. It collects skills from GitHub repos, tracks provenance, supports safety checks, and publishes a static catalog site with GitHub Actions and Pages.
MTPLX: 2.24x Faster Tokens on Apple Silicon Using Native MTP Heads
MTPLX achieves 63 tok/s on Qwen3.6-27B on M5 Max (up from 28 tok/s) using built-in MTP heads, with exact temperature sampling and no external drafter.
Visdiff: Visual Feedback Loop for Claude's Frontend Code Generation
Visdiff addresses the visual accuracy gap in Claude's frontend code generation by comparing rendered output pixel-by-pixel with Figma designs and feeding differences back into the loop until they match.
Nexus: Open-Source AI-to-AI Protocol with Discovery, Trust, and Payments
Nexus is a self-hosted protocol that enables AI agents to discover each other, negotiate terms, verify responses, and handle micropayments without human intervention. It includes five layers: discovery, trust, protocol, routing, and federation, with 66 tests and MIT licensing.