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Health: ActiveRecent health check succeeded.Last checked 10/7/2026, 9:32:15 PM

Signals

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financecompany-researchm-and-aprivate-equity

Searches companies, surfaces predictive signals and sector trends, and finds contacts for finance and dealmaking workflows.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for signals, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The signals MCP server provides predictive signals, company search, sector trends, and contact information through Fintent.ai. Its listed audience includes private equity, investment banking, and M&A dealmakers. Reach for it when an agent needs finance-oriented company and market research, but note that transport, authentication, and setup details are not provided.

Use cases

•Search companies for investment research
•Review predictive signals for deal analysis
•Track sector trends across industries
•Find contacts for M&A workflows

Key features

•Predictive signals
•Company search
•Sector trend research
•Contact discovery
•Support for finance and M&A workflows

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Signals.

Extracted Tool Capabilities
Predictive signals
Company search
Sector trend research
Contact discovery
Support for finance and M&A workflows

How Signals works

What the signals MCP server does

The signals MCP server is listed as a finance and dealmaking research service associated with Fintent.ai. Its stated scope covers four areas: predictive signals, company search, sector trends, and contacts. These capabilities are positioned for private equity professionals, investment bankers, and M&A dealmakers who need information about companies, sectors, and relevant people.

The available material does not define separate MCP tool names, request parameters, response formats, search filters, or supported data fields. As a result, this listing can establish the research categories the service covers, but not the precise operations an agent can call or the structure of returned results.

Tools and capabilities

The documented capabilities are:

  • Predictive signals for identifying or reviewing forward-looking business information.
  • Company search for finding company-related information.
  • Sector trends for examining developments across industries or sectors.
  • Contacts for locating people relevant to research or dealmaking.

These descriptions are category-level capabilities rather than a complete technical tool specification. The source does not say whether each category is exposed as one MCP tool, several tools, or another interface.

Limitations and notes

The signals MCP server listing does not include a README or technical installation documentation. There is no supplied information about the MCP transport, command used to launch the service, package or repository implementation, authentication method, required credentials, environment variables, rate limits, geographic coverage, data freshness, or output schema.

Client compatibility is also unspecified. No named client appears in the available material, so compatibility with particular desktop, editor, command-line, or coding-agent clients should be verified separately before adoption. The same applies to licensing: no license information is provided.

The intended audience is clearer than the integration details. Private equity, investment banking, and M&A teams can evaluate the signals MCP server as a possible source for agent-assisted company research, sector analysis, predictive information, and contact discovery. A developer assessing it for production use will need additional documentation from Fintent.ai covering access, tool definitions, configuration, and operational constraints.

Read the full README →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads
159k
Package downloads in the last 30 days.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Signals

signals is an MCP server that connects AI agents with Fintent.ai's finance research capabilities: predictive signals, company search, sector trends, and contact discovery. It is aimed at private equity, investment banking, and M&A dealmaking workflows. The available material does not specify transport, authentication, or individual tool names.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
Last updatedOct 6, 2026
7/7 checks healthy over the last 59d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
npm downloads159,421/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
41Quality signal: Fair · 41/100How this signal is calculated ▾
Server availability25/25
Verified ownership0/20
Documentation & tools11/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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