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Recent Funding Rounds Feed MCP Server

Recent Funding Rounds Feed MCP Server

Find recent funding rounds

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Find US companies that raised private funding from SEC Form D filings by filing window, state, industry, and minimum amount, returning company, round, and investor details.

Instructions

Find US companies that just raised private funding, from SEC Form D notices read directly from SEC EDGAR. Filter by filing window (filed_within_days, or date_from and date_to), states, Form D industry_groups, name_keywords, and min_amount_usd. Funds, SPVs, and real estate projects are dropped by default. Returns one row per round: company_name, company_domain with domain_confidence (kept only when the company's own homepage names it), filing_date, first_sale_date, amount_sold_usd, amount_offered_usd, security_types (equity, debt, SAFE), investor_count, industry_group, entity_type, year_of_incorporation, street, city, state, zip_code, issuer_phone, related_persons (executives and directors with roles), cik, accession, and filing_url. A Form D names no round label and no investors; round_label and press_url come only from a matching headline with include_press. When nothing matches, one free no_results row says why; bad input returns one free input_invalid row. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per round row returned plus a run start.

Input Schema

NameRequiredDescriptionDefault
statesNoTwo character state codes of the company's principal place of business, such as CA, NY, or TX.
date_toNoEnd of a custom filing window, YYYY-MM-DD. Default today.
only_newNoSkip rounds an earlier run with the same state_key returned. Default false.
date_fromNoStart of a custom filing window, YYYY-MM-DD. The window is at most 92 days.
state_keyNoNames the seen list for only_new.
max_roundsNoRound rows per run, newest filing first, up to 2000. Each round row is billed. Default 100.
exclude_spvsNoDrop SPVs and funds (3(c) exemptions, pooled fund interests, SPV or Fund in the name). Default true.
include_pressNoAdd a matching funding headline for the 50 largest rounds through the Mamba Labs News and Media Mention Monitor, which bills its own article events (up to 100 a run) to your Apify account. Default false.
name_keywordsNoWords in the company name, such as AI or Bio.
max_charge_usdNoOptional. The run stops before any row that would take its charges over this amount.
min_amount_usdNoKeep a round only when the larger of amount offered and amount sold is at least this many USD. Default 100000; 0 keeps every size.
industry_groupsNoKeep only these Form D industry groups, such as Other Technology, Computers, Biotechnology, Pharmaceuticals, Business Services, Retailing, Manufacturing.
resolve_domainsNoFind each company's domain and keep it only when its homepage names the company. No extra charge. Default true.
filed_within_daysNoFiling window in days ending today, 1 to 90, today included. Ignored when date_from is set. Default 7.
include_amendmentsNoAlso return Form D/A amendments. Default false.
exclude_industry_groupsNoDrop these Form D industry groups. The actor default drops Pooled Investment Fund, Commercial, Residential, REITS and Finance, and Other Real Estate; send an empty list to keep them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond the readOnly/openWorld annotations: requires an APIFY_TOKEN, bills per round row plus a run start, notes include_press bills separate article events, and specifies that no_results and input_invalid rows are free while failed runs return an error with a run ID. It also discloses a data limitation — Form D names no round label or investors — which prevents misreading the output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and source are front-loaded in the first sentence, followed by filters, then return shape, then billing/error semantics — a sensible order. The long comma-separated list of returned fields is dense but defensible given there is no output schema, though it pushes the description toward the verbose end.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 16 optional parameters, no output schema, and no siblings, the description covers the missing pieces an agent needs: the full return row shape, the special no_results/input_invalid/error behaviors, auth requirements, and the cost model. Nothing material for correct invocation is left out.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is already 100%, so the baseline is 3; the description earns above that by tying parameters to behavior, e.g. that round_label and press_url appear only when include_press is set and that SPV/fund and real-estate exclusions are on by default. Most of the enumerated return fields duplicate the schema's parameter docs rather than adding new parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb and resource — 'Find US companies that just raised private funding' — and names the data source (SEC Form D notices from EDGAR). It also states scope decisions the agent would otherwise have to infer, such as funds/SPVs/real estate being dropped by default and that round_label/press_url exist only with include_press.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explains filter dimensions and their defaults (filed_within_days vs date_from/date_to, min_amount_usd, include_press cost caveat), which tells an agent how to steer the query. It does not state explicit when-not-to-use conditions or tradeoffs between filter modes beyond the schema's own notes, so it falls short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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