Blueprint 10k
FreeNot checkedAn MCP server that provides deterministic finance tools for SEC filing analysis, enabling LLMs to compute financial ratios, fetch filings, and perform equity re
About
An MCP server that provides deterministic finance tools for SEC filing analysis, enabling LLMs to compute financial ratios, fetch filings, and perform equity research without hallucinated numbers.
README
An MCP server that gives Claude a toolbox of deterministic finance tools for analyzing 10-K/10-Q filings: the LLM does the reading and reasoning, but every number comes from real math in Python — no hallucinated ratios.
Paired with a set of Claude Code subagents (.claude/agents/) that use these
tools as a multi-agent equity-research pipeline: retrieve filing → extract
financials → analyze risk factors → scout news → forecast → validate → format.
Tools by module
| Module | Tools |
|---|---|
tools/edgar.py |
Fetch filings from SEC EDGAR (company lookup, filing index, section extraction, HTML cleaning) |
tools/market_data.py |
Prices, history, and market snapshots via yfinance |
tools/ratios.py |
Liquidity / leverage / profitability / efficiency ratios from raw statement inputs, schema-validated |
tools/fcf.py |
Free-cash-flow computation |
tools/econometrics.py |
Regression + time-series diagnostics (statsmodels) |
tools/var.py |
Value-at-Risk (parametric + historical) for position sizing |
tools/options.py |
Black-Scholes pricing and greeks |
tools/news.py |
Multi-source news scout: Alpha Vantage, Finnhub, yfinance, EDGAR 8-Ks, Google News RSS, Reddit — with dedupe, VADER sentiment, and JSON archiving |
tools/boilerplate.py |
Jaccard-similarity filter that strips boilerplate legalese from risk-factor sections |
tools/validation.py |
JSON-schema validation + token-aware text chunking |
tools/charts.py |
Matplotlib chart cards for distribution |
tools/output.py |
Report assembly + webhook delivery |
tools/forecastx.py |
Stub: cross-validation against Excel forecasts (xlwings) |
Sample news-scout output lives in news_archive/.
Setup
pip install -r requirements.txt
cp .mcp.json.example .mcp.json # then fix the paths for your machine
mcp run server.py # or let Claude Code start it via .mcp.json
Optional API keys (each news source degrades gracefully if its key is absent):
| Env var | Source |
|---|---|
ALPHAVANTAGE_KEY |
Alpha Vantage news + sentiment |
FINNHUB_KEY |
Finnhub company news |
REDDIT_CLIENT_ID / REDDIT_CLIENT_SECRET |
Reddit via PRAW |
MAKE_WEBHOOK_INTERNAL / MAKE_WEBHOOK_PUBLIC |
Make.com delivery webhooks for tools/output.py |
Note: SEC EDGAR requires a User-Agent identifying you (see
tools/edgar.py) — replace the contact info with your own before heavy use.
The agent pipeline
.claude/agents/ defines the subagents Claude Code spawns for a full analysis:
- coordinator — orchestrates the run, delegates to the specialists
- filing_retrieval — finds and fetches the right 10-K/10-Q from EDGAR
- financial_extractor — pulls the statements out of Item 8
- risk_analyst — reads Item 1A with the boilerplate filter
- news_scout — recent-news sweep with sentiment
- forecaster — projections grounded in the econometrics tools
- options_strategist — strategy ideas priced with the BS tools
- validator / output_formatter — schema checks, then the final report
Installing Blueprint 10k
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/heathrenfroe-sys/blueprint-10kFAQ
Is Blueprint 10k MCP free?
Yes, Blueprint 10k MCP is free — one-click install via Unyly at no cost.
Does Blueprint 10k need an API key?
No, Blueprint 10k runs without API keys or environment variables.
Is Blueprint 10k hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Blueprint 10k in Claude Desktop, Claude Code or Cursor?
Open Blueprint 10k on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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