blueprint-10k

blueprint-10k

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.

Category
Visit Server

README

blueprint-10k — an MCP server for SEC filing analysis

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured