You're about to bet on a market, a deal, or your career.
A bad call costs $50K–$500K+. This costs $0–$500. And it lands in 15 min – 4 h depending on the engagement, not 6 weeks.
$500 protected against $50K–$500K·1/200 the time at 1/500 the cost of a tier-1 engagement
Early access · MCP server · works with any MCP-compatible AI client
You have the decision. You don't have the analysis.
A 6-week MBB engagement, compressed to 15 minutes to 4 hours depending on scope. 27 specialised agents and 138 atomic tools run inside your AI client of choice — Claude, ChatGPT, Cursor, Codex, Gemini, anything that speaks MCP. 5-lens framework. 10 hypotheses tested. Every number source-cited — verdict ready before your next meeting.
ClaudeChatGPTCursorCodexVS Code CopilotGemini Code AssistClineWindsurf+ any MCP client
You decide on vibes because the alternatives are worse:→ MBB firm: $50K–$300K, 6 weeks, lands after the deadline.→ A bare LLM prompt: confident slop, zero hypotheses, zero citations.→ A consultant friend: one opinion, no portfolio view, no defence at the board.
This isn't another LLM wrapper.
This is consulting — codified.
Use this when you're:
→ closing an investment round→ entering a new market→ validating an M&A target→ pivoting your career
Excerpted from a real Corporate Strategy engagement on a public mid-cap SaaS company. Every number sourced.
co_founder_engine · corporate strategy · 47 min runtime
Adata quality
market_segments
7 mapped
Complete
competitors_benchmarked
14 / segment
Strong
hypotheses_tested
10 / 10
All resolved
strategies_generated
82 (12 /seg)
Above bar
data_points_verified
93% (SEC, 10-K)
Excellent
data_points_estimated
6%
Flagged
growth_share_position
Star → Cash Cow
Resolved
final-report.md · co_founder_engine output
Verdict
Recommended bet Vertical SaaS → 3yr ARR: $48M (P50)
Defend Mid-market core → 2 incumbents closing fast
Divest SMB self-serve → CAC payback >36mo
Reasoning trace
H-D1: “Vertical demand exists” — CONFIRMED
H-A2: “Distribution moat is durable” — CONFIRMED
H-S1: “SMB unit economics work” — REJECTED
10/10hypotheses resolved
93%data verified at source
SEC EDGAR · investor decks · benchmarks
// the difference
Generic AI vs a real engagement
Same prompt: "Should we expand to enterprise?" One answer is opinion. The other is a defensible decision.
− generic AIone-shot answer
## Should we expand to enterprise?Enterprise can offer higher contractvalues and lower churn. Considerbuilding a sales team and longerimplementation cycles. Many SaaScompanies have succeeded here.Hope this helps!
opinion
No data. No competitor analysis. No hypotheses. Generic platitude — would fail any board review.
ICP: Series B vertical SaaS · ARR $5-30M Channels: outbound + integrator partners
04 / validation-report.md
Source verification
Every number tagged ✅ VERIFIED / ⚠️ ESTIMATED / ❌ NOT FOUND. Data quality score (A / B / C / F). No hallucinations.
Data quality: A (93% verified) Sources: SEC 10-K, Gartner '25, S&P
// shareable output
Every engagement → public Notion link
Markdown is great for the AI client. A board doesn't open markdown. Each bundle finishes by exporting the full artefact set into a fresh Notion page and returns the public URL alongside the run.
Public URL ready before the model finishes summarising
Engagement page with every artefact as a sub-page
Soft-fail — works without Notion too, you just don't get the URL
No vendor lock-in — raw markdown stays in the run folder
Eight engagements — from 15-min diagnostic to 4-hour GTM
Pick a fixed-price bundle for the full pipeline, or call any of the 138 atomic tools directly. Free preview — tier gating relaxed until billing launches.
Free15 min
Career DNA
Free 15-min calling-intelligence brief. Try the service before going deeper.
Calling brief + archetype
Skills snapshot
Three highest-EV moves
Notion-shareable URL
Free45 min
Personal Strategy
Operator OS profile + Growth-Share skill map + 3-year roadmap.
Operator OS (P0–P5)
Skills Growth-Share map
8–12 strategic moves
3-year roadmap + 90-day plan
$4960 min
Personal Strategy Deep
Operator OS + outreach pack + salary-negotiation playbook.
Big Five + EQ overlay
Cold-outreach kit
Salary negotiation script
Daily Loop seed plan
Paid2 h
Strategy Audit
Full MBB-grade engagement. 27 agents across 4 phases, fact-checked.
Adversarial investment validation. Red team included by default.
Investment thesis test
Market reality check
Risk matrix (15+ risks)
Go / Conditional / Pass verdict
Subscription~10 min/day
Daily Loop
Today's outreach actions + crafted messages. Real targets, not templates.
3–5 actions for today
Personalised outreach drafts
Pipeline tracking
Weekly review
138 toolsà la carte
Atomic toolkit
Call any single tool directly — map markets, fetch SEC filings, generate Google Ads, score the SRI. list_tools() for the catalogue.
S.L.A.T.E. catalogue
22 categories
Pay-per-call (planned)
Mix & match into custom flows
// the catalogue
152 MCP endpoints in your AI
8 fixed-price bundles for the full pipeline. 138 atomic tools when you want surgical control. 6 utility endpoints for run management. Every endpoint a single agent task — declarative, tested, source-cited.
5-lens MBB methodology — baked into every engagementBuilt-in
# Each engagement runs through 5 sequential lenses
- lens_1: Description # what is true today
- lens_2: Advantage # why we can win
- lens_3: Future # 4 forecast scenarios
- lens_4: Options # 10-15 distinct strategies
- lens_5: Selection # capital allocation verdict
# Pyramid Principle output. Every number sourced.
// install — pick your client
Connect in 60 seconds
Co-Founder: Strategy Layer Engine is a remote MCP server. Bring whichever AI client you already use — Claude, ChatGPT, Cursor, Codex, Gemini Code Assist, Cline, Windsurf, anything that speaks MCP. OAuth on first connect, no API keys to manage. Below: the exact steps for each client.
Add Co-Founder Engine to Claude.aiPro / Max / Team / Enterprise · name + URL prefilled, OAuth on connect
Claude.ai opens the modal with name and URL prefilled. Confirm and connect — OAuth runs in the same browser. Same flow for Claude Desktop, identical settings screen.// or step-by-step
1
Open Claude Desktop / Claude.ai → Settings → ConnectorsAvailable on Pro, Max, Team, Enterprise plans
2
Click “Add custom connector” → paste the URL
https://mcp.xataco.com/mcp
3
OAuth login opens in browserSign in or register, return to Claude. Tools appear in the side panel.
4
Try it
run a career dna for Alex Chen, senior PM, 8 years
Open ChatGPT connectorsPlus / Pro / Team / Enterprise · enable Developer Mode first
ChatGPT does not yet support a true one-click MCP install — you'll land on the Connectors panel and paste the URL there. Three clicks total.// step-by-step
1
Settings → Connectors → Advanced → turn on Developer ModeRequired to add custom (non-marketplace) MCP servers
2
Connectors → Create → paste the URL
https://mcp.xataco.com/mcp
3
Authenticate via OAuthBrowser opens, sign in or register, return to ChatGPT. Tools become available across chats.
4
Try it
Use co-founder-engine to run a career DNA for me — senior PM, fintech, 8 years
For Codex CLI / OpenAI Responses API, use the Manual / Other tab with a bearer token.
Single CLI commandClaude Code · OAuth on first tool call
// step-by-step
1
Add the server via CLI
claude mcp add co-founder-engine --transport http https://mcp.xataco.com/mcp
2
AuthenticateFirst tool call triggers OAuth in your browser. Token stored in ~/.claude/auth/.
3
Try a slash command
/career-dna John Smith, senior product manager, 8 years experience
Status check anytime: /list_runs or /get_run_status <run_id>
Install in Cursor with one clickcursor:// deep-link · OAuth on first call
Generate keys in your account dashboard. Use Bearer mode for headless automation; OAuth for desktop clients.
C
Verify the connection
curl https://mcp.xataco.com/health
Returns {"status":"healthy","version":"1.0.0"} when the server is up.
D
Available endpoints — 152 in total8 bundle engagements + 138 atomic tools (S.L.A.T.E. catalogue) + 6 utility endpoints. Bundles run multi-agent pipelines; atomic tools call a single agent for a focused task.Bundles
compute_self_realization_index(name)analyze_linkedin_profile(url)fetch_sec_filings(ticker)generate_google_ads(...)map_market_segments(company)... and 133 more — call list_tools() for the full catalogue
E
Quick notes for other clientsCodex CLI / OpenAI Responses API: register the server as a remote MCP tool with the URL above and a bearer token. The tools are auto-discovered through the MCP protocol.Gemini Code Assist: add to ~/.gemini/settings.json under mcpServers using the same JSON shape as Cursor.Goose / Continue / Cody / any other MCP client: the bearer-token JSON above works wherever the client supports HTTP MCP servers. If your client only supports stdio, run a thin local proxy — see docs.
Troubleshooting:OAuth fails → check that your client has popup blockers off and supports OAuth 2.1 + PKCEConnection times out → first cold-start can take ~5s; retry the tool callTool not visible → restart your client after adding the server config
Every strategic decision without rigor
is a bet you can't justify.
Early access — 43 of 50 spots remaining
Run your first engagement today
Connect your AI client, run a Career DNA, get a Pyramid-Principle report and a 90-day plan. Free. No payment. No lock-in.