ZBS Index What actually exists in applied AI, with the source next to it

mcp server

FilingFirehose

SEC EDGAR filings parsed: 8-K body-text classification, 13D activist tagging, S-3 ATM detection.

Description as published by the maintainer. Source

  • version 0.1.0
  • slowing

slowing — Most recent push to the repository was 2026-05-10.

What this server can do

4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

get_filing(accession_number)
Fetch one filing by SEC accession number, regardless of recency. Useful when an agent has an accession number from a citation or earlier tool call and needs the parsed details. Args: accession_number: SEC accession in 'XXXXXXXXXX-YY-NNNNNN' format. Returns: JSON for the filing if found in our archive, or {"found": false}. Required: accession_number.
search_13d_filings(limit, activist, min_percent, include_amendments, include_passive_13g)
Search recent SEC Schedule 13D / 13G filings from the past 72 hours. Args: activist: Filter to filings tagged with this activist filer name. Substring match, case-insensitive. Examples: 'Saba', 'Starboard', 'Icahn', 'Elliott', 'Pershing'. min_percent: Minimum percent of class disclosed. include_amendments: Include 13D/A and 13G/A amendments. Default True. include_passive_13g: Include passive Schedule 13G filings. Default False (only active 13D / 13D/A returned). limit: Max results (1-50, default 25). Returns: JSON list of filings with cusip, percent_of_class, aggregate_amount, activist_filers, and an Item 4 purpose excerpt.
search_8k_filings(items, limit, suspected_buried_only)
Search recent SEC 8-K filings (current report) from the past 72 hours. Args: items: Comma-separated 8-K item codes to filter on. Examples: '1.05' (cybersecurity), '5.02' (officer departure), '8.01' (other events), '1.01' (material agreement). Leave None for all 8-Ks. suspected_buried_only: If True, return only filings where our body-text classifier flagged a suspected misclassification — i.e. cyber language under Item 8.01 that should have been 1.05, officer-departure language under 8.01 that should have been 5.02. limit: Max results (1-50, default 25). Returns: JSON-formatted list of filings. Each includes: accession_number, company_name, filed_at, filer_reported_items, detected_items, discrepancy_items (in body but not reported), and suspected_buried_events (map of reported→suspected).
search_atm_offerings(limit, sales_agent, min_shelf_million_usd)
Search recent SEC at-the-market (ATM) equity offerings from the past 72 hours. Pulls from S-3 / 424B5 family filings where our parser flagged ATM-offering indicators in the body language. Args: sales_agent: Filter by sales agent name (substring, case-insensitive). Examples: 'Cantor Fitzgerald', 'Jefferies', 'Roth Capital', 'H.C. Wainwright'. min_shelf_million_usd: Minimum shelf size in millions USD. limit: Max results (1-50, default 25). Returns: JSON list with shelf_size_usd, is_atm, sales_agents, use_of_proceeds_excerpt.

Last successful function declaration observed on . Source: https://filingfirehose.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://filingfirehose.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 1 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-05-10 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-10 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-05-10 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 4 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe filingfirehose.com
mcp endpoint status ok The server listed 4 functions when asked. as of probe filingfirehose.com

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. jaablon/filingfirehose-python on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://filingfirehose.com/mcp — filingfirehose.com, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.