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Add filingrail-mcp to Market Data & Data Sources (#559)

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@@ -507,6 +507,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [fedfred](https://nikhilxsunder.github.io/fedfred/) - `Python` - FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes. - [fedfred](https://nikhilxsunder.github.io/fedfred/) - `Python` - FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes.
- [edgar-sec](https://nikhilxsunder.github.io/edgar-sec/) - `Python` - EDGAR Financial data API with preprocessed dataclass outputs. - [edgar-sec](https://nikhilxsunder.github.io/edgar-sec/) - `Python` - EDGAR Financial data API with preprocessed dataclass outputs.
- [edgartools](https://github.com/dgunning/edgartools) - `Python` - AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames. - [edgartools](https://github.com/dgunning/edgartools) - `Python` - AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.
- [filingrail-mcp](https://pypi.org/project/filingrail-mcp/) - `Python` `MCP` - MCP server and Python SDK for a SEC EDGAR REST API covering XBRL fundamentals, Form 4 insider trades, 8-K events, 13F holdings and filings, where every record carries the source sec.gov filing URL it came from. [GitHub](https://github.com/adamhudson777/filingrail-mcp)
- [disclosure-alpha](https://github.com/alwank/disclosure-alpha) - `Python` - Deterministic SEC filing analytics for 10-K/10-Q: section extraction, tone and boilerplate metrics, year-over-year diff, and reproducible disclosure risk scores. CLI, Python SDK, HTTP panel screener, and MCP — no LLM required. - [disclosure-alpha](https://github.com/alwank/disclosure-alpha) - `Python` - Deterministic SEC filing analytics for 10-K/10-Q: section extraction, tone and boilerplate metrics, year-over-year diff, and reproducible disclosure risk scores. CLI, Python SDK, HTTP panel screener, and MCP — no LLM required.
- [Tradevo Data](https://github.com/christianpichichero-max/pit-fundamentals) - `Python` - Point-in-time US equity fundamentals from SEC EDGAR that stamp each figure with the date it first became public and flag later restatements, so fundamental backtests avoid lookahead bias; free CC0 sample of 40 large-caps, with a paid JSON API. [Website](https://tradevodata.com) - [Tradevo Data](https://github.com/christianpichichero-max/pit-fundamentals) - `Python` - Point-in-time US equity fundamentals from SEC EDGAR that stamp each figure with the date it first became public and flag later restatements, so fundamental backtests avoid lookahead bias; free CC0 sample of 40 large-caps, with a paid JSON API. [Website](https://tradevodata.com)
- [FilingFirehose](https://filingfirehose.com) - `Python` - SEC EDGAR JSON API + free Forensic risk-scoring tool: body-text-classified 8-Ks flagging buried events (~7.3% of Item 8.01 filings), Schedule 13D/G with 21+ activist filers auto-tagged, S-3/424B5 ATM offering detection. Free Forensic risk score 0-100 per ticker grounded in cited SEC filings ([leaderboard](https://filingfirehose.com/forensic/leaderboard)). Open-source classifier at [buried-events-parser](https://github.com/jaablon/buried-events-parser). Also exposed as MCP server, ChatGPT GPT, and GitHub Action. - [FilingFirehose](https://filingfirehose.com) - `Python` - SEC EDGAR JSON API + free Forensic risk-scoring tool: body-text-classified 8-Ks flagging buried events (~7.3% of Item 8.01 filings), Schedule 13D/G with 21+ activist filers auto-tagged, S-3/424B5 ATM offering detection. Free Forensic risk score 0-100 per ticker grounded in cited SEC filings ([leaderboard](https://filingfirehose.com/forensic/leaderboard)). Open-source classifier at [buried-events-parser](https://github.com/jaablon/buried-events-parser). Also exposed as MCP server, ChatGPT GPT, and GitHub Action.