Funding & Press Signal Scanner MCP Server
Use this server to scan public news and press sources for a company's recent business events and receive clean, deduplicated, Clay-ready JSON.
Input a company domain (e.g. stripe.com) to discover funding rounds, IPOs, acquisitions, executive moves, product launches, and partnerships.
Optionally provide a company_name hint when the domain doesn't match the brand (e.g. Deel for deel.com).
Filter results by event type (funding_round, ipo, acquisition, exec_move, product_launch, partnership) and lookback window.
Get per-company summaries such as has_recent_funding, funding_total_estimated, latest_event_date, and most_recent_event_type.
Receive detailed event records with date, headline, source URL, amount, currency, funding stage, names, description, and corroborating source count.
Operates read-only via Apify, requiring APIFY_TOKEN and consuming Apify credits.
Scans Google News to retrieve recent business events (funding rounds, executive moves, product launches, acquisitions, partnerships, IPOs) for a given company domain.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Funding & Press Signal Scanner MCP ServerScan stripe.com for recent funding and exec moves"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Funding & Press Signal Scanner MCP Server
Give it a company domain, get back a clean list of that company's recent business events: funding rounds, executive moves, product launches, acquisitions, partnerships, and IPOs. The actor searches public news and press sources, classifies each story into a typed event, deduplicates the same event reported across multiple outlets, and returns one flat row per company. Built for Clay users, RevOps teams, and outbound agencies who want account signals without paying for a Crunchbase seat.
What's Inside
Related MCP server: FundzWatch MCP Server
What it does
This server gives an AI client one tool:
get_funding_press_signals: scan Google News and PR wires for a company's funding rounds, executive moves, product launches, acquisitions, partnerships, and IPOs. Returns deduplicated, dated events in flat, Clay-ready JSON, one row per company, with a per company summary (has_recent_funding,funding_total_estimated,latest_event_date,most_recent_event_type) and aneventsarray where each event carries its type, date, amount, funding stage, source URL, and a corroborating source count.
All of the work runs on Apify. This package is a thin client that routes the tool call to the actor and hands back the result.
Quick start
You need Node.js 18 or newer and an Apify account with an API token.
Add this to your Claude Desktop config:
{
"mcpServers": {
"funding-press-signal-scanner": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-funding-press-signal-scanner"],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. The tool will be available.
Prerequisites
Node.js 18 or newer
An Apify account with an API token
Example prompts
"What funding, exec moves, and product launches has stripe.com had recently?"
"Has ramp.com raised any funding in the last year, and how much?"
"Scan deel.com (company name Deel) for acquisitions and partnerships."
"Show me the most recent press events for notion.so as flat JSON."
Tool and inputs
get_funding_press_signals:
domain(string, required): company domain to scan, without https or www, e.g. stripe.com.company_name(string, optional): company name hint, used when the domain does not match the brand name, e.g. Deel for deel.com.signal_types(array, optional): report only these event types:funding_round,ipo,acquisition,exec_move,product_launch,partnership. Narrowing narrows the search as well as the answer. Omit for every type.lookback_days(integer, optional): how far back to search, in days. Default 365.
The output is one row per company: company_domain, company_name, total_events, latest_event_date, has_recent_funding, funding_total_estimated, funding_total_currency, most_recent_event_type, most_recent_headline, an events array of typed events, a sources_queried array, and run_date. Each event in the array has event_type (funding_round, exec_move, product_launch, acquisition, partnership, ipo), date, headline, source_url, source_name, amount, currency, funding_stage, names, description, and corroborating_source_count.
Full actor documentation
For the complete input and output reference, pricing, and run history, see the Funding & Press Signal Scanner actor on the Apify Store (canonical immutable Actor ID URL):
https://apify.com/mambalabs/FS13X6dhQVgX3XOM6
Mamba Labs GTM Suite
This server is part of the Mamba Labs GTM Suite, a fleet of twelve specialized MCP servers for go-to-market signal intelligence, each backed by a dedicated Apify actor.
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Built by Mamba Labs | npm | Apify Store
License
MIT
Built by Mamba Labs. https://apify.com/mambalabs
Available Tools
1 toolget_funding_press_signalsGet Funding and Press SignalsARead-onlyIdempotent
Scan Google News and PR wires for funding rounds, executive moves, product launches, and acquisitions at any company domain. Returns deduplicated, dated events in flat Clay-ready JSON. Read-only; requires APIFY_TOKEN; consumes Apify credits.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | Company domain to scan, without https or www, e.g. stripe.com. | |
| company_name | No | Optional company name hint, used when the domain does not match the brand name, e.g. Deel for deel.com. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds behavioral traits beyond annotations: it states 'Read-only' (matching readOnlyHint), 'requires APIFY_TOKEN', 'consumes Apify credits', and that results are 'deduplicated, dated events'. These go beyond the annotation hints, providing useful operational context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no wasted words. It front-loads the purpose and then adds key details (output format, read-only, requirements). Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity, complete schema/annotation coverage, and no output schema, the description fully covers input, output, and constraints. It explains what data is returned, how it's formatted, and what infrastructure is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the description adds extra meaning: for 'domain' it specifies 'without https or www' and gives an example; for 'company_name' it explains it is optional and used when domain does not match brand, with an example. This enhances understanding beyond the schema definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool scans Google News and PR wires for specific signals (funding rounds, executive moves, etc.) and returns deduplicated, dated events in a flat JSON format. The verb 'scan' and the resource 'news/PR wires' are specific, and there are no sibling tools to differentiate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when needing to find funding/press signals for a company domain. It also mentions prerequisites (APIFY_TOKEN, credit consumption) but does not explicitly state when not to use it or provide alternatives. The context is clear enough for straightforward selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
get_funding_press_signals
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusion between tools.
A single tool name follows a clear and consistent pattern, with no other tools to cause inconsistency.
The single tool adequately covers the server's stated purpose of scanning for funding and press signals, making the count appropriate.
The tool covers all major signal types (funding, executive moves, launches, acquisitions) and returns deduplicated, dated events, satisfying the domain requirements.
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