adm_account_research

adm_account_researchTier 1Writes to accounts (cache)LLMWeb Search

Deep-dive intelligence gathering on any enterprise account. Pulls financials, engineering org size, leadership profiles, tech stack, AI tool adoption, and SDLC toolchain from public sources.

How to Invoke

Cursor: /adm-research [company] [depth]— No MCP required

CLI: adm research <name> [--depth quick|standard|deep] [--refresh]

MCP: When MCP is enabled, ask in natural language (e.g. “Research Adobe”) and the AI invokes adm_account_research

Relationships

Feeds into: adm_deployment_plan, adm_calculate_roi, adm_expansion_plan, adm_qbr_generator, adm_success_story, adm_cursorrules_generator

When to Use

Run this first for any new account. It populates the accounts collection and becomes the context for every downstream tool: deployment plan, ROI, expansion plan, QBR, success story, Cursor rules, and more.

Use forceRefresh: true to bypass cache when you need fresh data (e.g. after earnings, layoffs, or a major product launch).

Inputs

Parameter	Type	Description
companyName*	string	Company name to research "Adobe"
ticker	string	Stock ticker for public companies (helps find earnings data) "ADBE"
depth	quick | standard | deep	Research depth. quick: financials + leadership. standard: + tech stack + AI signals. deep: + org mapping + competitive "standard"
forceRefresh	boolean	Bypass cache and re-research even if data exists within 30 days false

Output

Structured account intelligence with revenue, engineering headcount, product pillars, tech stack, AI strategy, dev hubs.markdown

### ▸ Cursor ADM Toolkit · Account Research

**Adobe** (cached 2 days ago)

**Revenue:** $21B (FY2025 10-K)
**Engineering:** ~12,000 (Estimated 35-40% of eng+product)
**Total employees:** ~32,000

**AI strategy:** Heavy investment in Firefly, Sensei. AI-first product strategy.

**Product pillars**
• Creative Cloud: Design tools — Photoshop, Illustrator, Premiere
• Document Cloud: PDF, Sign — Acrobat, Sign
• Experience Cloud: Marketing, Analytics — Analytics, Target, Campaign

**Tech stack:** React, Java, Node.js
**Dev hubs:** San Jose, Seattle, Bangalore, Noida
**SDLC:** GitHub Enterprise · Jenkins + GitHub Actions · VS Code

Persistence

🗄accountswrites

Results are cached for 30 days. Subsequent calls with the same companyName return cached data unless forceRefresh is true.

Prerequisites

• ANTHROPIC_API_KEY — Required for web search and LLM extraction. Without it, the tool returns a message asking you to add the key.
• MONGODB_URI — Optional. When set, results are persisted. Without it, you still get the research output but it won't be cached.

CLI

adm research <name> [--depth quick|standard|deep] [--refresh]

Related Tools

• adm_deployment_plan — uses account data for phased rollout
• adm_expansion_plan — uses account + ROI for expansion proposal
• adm_success_story — uses account + metrics for narrative