agentic-ai

Deal intelligence for agents: SEC-verified financials, validation, institutional deal scoring.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
80%
Naming quality
83%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,107Tokens (tool definitions)
~756 BTypical response size
Moderate attention impact (0.86% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "agentic-ai": {
      "url": "https://agentic-ai-production-e711.up.railway.app/mcp"
    }
  }
}

Remote endpoints

https://agentic-ai-production-e711.up.railway.app/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢investor_intro_preview(asset_class, target_raise_m, industry, geography, ebitda_m)

FREE, no API key. Use when someone wants to be connected with investors for a raise. Runs DEALITHIC's matching engine against 50,000+ funds and returns how many fit and what kinds of investors they are (counts only: no firm names or contacts). asset_class is one of pe, vc, growth, credit, real_estate, infrastructure, preferred_equity, equity, public_equity, other. target_raise_m is the raise in USD millions. If the result looks useful, offer request_intro to book a demo where names and contacts are released.

Input Schema

{
  "type": "object",
  "properties": {
    "asset_class": {
      "title": "Asset Class",
      "type": "string"
    },
    "target_raise_m": {
      "title": "Target Raise M",
      "type": "number"
    },
    "industry": {
      "title": "Industry",
      "type": "string"
    },
    "geography": {
      "default": "",
      "title": "Geography",
      "type": "string"
    },
    "ebitda_m": {
      "default": null,
      "title": "Ebitda M",
      "type": "number"
    }
  },
  "required": [
    "asset_class",
    "target_raise_m",
    "industry"
  ],
  "title": "investor_intro_previewArguments"
}
🟡request_intro(name, email, company, deal_summary, consent)

FREE, no API key. Records a request to be introduced to DEALITHIC and booked into a demo, where matched investors are revealed. Only call this after the person has explicitly agreed to be contacted by email about their raise, and set consent=true only in that case.

Input Schema

{
  "type": "object",
  "properties": {
    "name": {
      "title": "Name",
      "type": "string"
    },
    "email": {
      "title": "Email",
      "type": "string"
    },
    "company": {
      "title": "Company",
      "type": "string"
    },
    "deal_summary": {
      "title": "Deal Summary",
      "type": "string"
    },
    "consent": {
      "title": "Consent",
      "type": "boolean"
    }
  },
  "required": [
    "name",
    "email",
    "company",
    "deal_summary",
    "consent"
  ],
  "title": "request_introArguments"
}
🟢sec_extract(ticker)

Verified financial statements and derived metrics for a US-listed ticker, extracted from SEC EDGAR XBRL filings. Every value carries provenance (the exact filing, form, and tag it came from); missing facts are null, never 0. $0.25/call after free trial.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "Ticker",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "sec_extractArguments"
}
🟢validate_financials(financials)

Institutional validation pass over company financials: tax-rate sanity, EBITDA/EBIT bridge, growth continuity vs historical CAGR, capex ratio, working-capital stability. Returns integrity score + severity-ranked flags. $0.50/call after free trial.

Input Schema

{
  "type": "object",
  "properties": {
    "financials": {
      "additionalProperties": true,
      "title": "Financials",
      "type": "object"
    }
  },
  "required": [
    "financials"
  ],
  "title": "validate_financialsArguments"
}
🟢company_report(ticker, market, context)

The flagship: eight-lens institutional analysis of a US-listed company, grounded entirely in SEC-verified figures with per-field filing citations. Lenses: equity research, investment banking, strategy consulting, turnaround ops, comparables, capital markets, disclosure audit, and Charlie Munger's 10 mental models — plus an executive synthesis. Optionally pass `market` (e.g. {"price": 12.34, "market_cap_m": 5000}) from your own data source to enable valuation views, and `context` — your own deal materials (CIM extracts, computed valuations), treated as caller-asserted rather than SEC-verified. $25.00/call after free trial; allow ~60s.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "Ticker",
      "type": "string"
    },
    "market": {
      "additionalProperties": true,
      "default": null,
      "title": "Market",
      "type": "object"
    },
    "context": {
      "default": null,
      "title": "Context",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "company_reportArguments"
}
🟢deal_score(deal)

Full underwriting chain on a deal profile: financial integrity → trend → industry position → stress tests → conviction score, plus a risk register and investment thesis (and an rNPV valuation band for biotech deals with `indications`). $2.00/call after free trial.

Input Schema

{
  "type": "object",
  "properties": {
    "deal": {
      "additionalProperties": true,
      "title": "Deal",
      "type": "object"
    }
  },
  "required": [
    "deal"
  ],
  "title": "deal_scoreArguments"
}

Community

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Evidence

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