CT Accelerator MCP-Native · Knowledge Layer

ContextCT — makes every Cursor seat a Salesforce expert

A RAG-backed MCP server that grounds Composer, background agents, and BugBot in 10+ years of CT delivery IP — so Cursor ships correct Apex, LWC, and Flow from the first prompt.

The Documentation Gap

What no official docs cover

Salesforce docs teach the platform; Cursor docs teach the IDE. Neither covers what delivery actually needs: vertical business knowledge, the customer’s own processes, industry best practices — or how to build it all with Cursor. ContextCT serves that layer on demand, inside the prompt.

Tribal Knowledge, Productized

10+ years of delivery IP, indexed

LSC data models, perfeCT mapping rules, governor-limit patterns, migration playbooks — curated into one governed vector index. Agents call resolve-project, then get-knowledge returns relevance-ranked context.

Why Cursor Wins

Evals are won on domain accuracy

Enterprise Salesforce evals fail on hallucinated Apex, not IDE features. Grounded agents produce code that compiles, deploys, and passes review — the difference between a stalled pilot and a team-wide rollout.

Any AI Client

Cursor · Claude · Agentforce

Standard MCP serves the IDE, cloud background agents, and CLI alike — published once through the Team MCP marketplace. No per-engineer setup, no knowledge drift.

Impact:  Cursor wins the enterprise
  • Higher eval win-rateGrounded agents pass Salesforce POCs that generic AI fails
  • Deeper seat adoptionDay-1 productive engineers — no ramp-up, no drift, no churn
  • Ecosystem moatPartner IP reachable only through MCP-native Cursor
Customertimes · Cursor-Powered LSC Delivery
CT Accelerator ContextCT · Commercial Model

A compounding knowledge tool — plus the people to run it

Humans meter in seats, agents in API calls, and FDE packages onboard, run, and manage the instance on demand. Three prices, one-line quote — implementable today with Stripe and an order form.

Per Seat — humans
$150 / SF admin seat / mo
Salesforce admins & developers working in Cursor
  • Full CT tribal-knowledge index: LSC patterns, perfeCT rules, playbooks
  • 5,000 retrievals / seat / month
  • Pushed to every engineer via Team MCP
  • Start free: 1,000 retrievals / month — one MCP install, nothing to sign
The anchor: one seat costs one SF consultant hour — per month.
Prepaid Call Packs — agents
$300 / 10k calls / mo
Background agents, CI pipelines, Agentforce — no seats needed
  • Scale pack: 100k calls — $2,500 / mo
  • Pooled org-wide — any agent, any pipeline, one meter
  • Overage at pack rate — no penalty pricing
  • Private namespaces: client knowledge ingested per 1M tokens
Why calls: agent fleets outnumber humans — usage grows with adoption, not headcount.
FDE Packages — managed services
$15k+ / mo
Skilled Cursor FDEs who onboard, run, and grow your instance — on demand
  • 0.5 FTE — $15k: onboarding, reviews, knowledge curation
  • 2 FTE — $55k: runs your instance & agent fleet as a managed service
  • 5 FTE — $125k: full program, end-to-end delivery
  • Seats & call packs bundled at every FDE tier
Compounding: every engagement FDEs run feeds the index — the tool gets smarter, delivery gets faster.
Quote it in one line:  pick a meter, add experts
  • Humans → seats$150 each — start free, expand as the team adopts
  • Agents → packs10k — $300 · 100k — $2,500 / mo, pooled org-wide
  • Services → FDEsOnboard, run, manage — 0.5–5 FTE, software included
Indicative pricing — to be validated with pilot accounts.
Customertimes · Cursor-Powered LSC Delivery
CT Accelerator ContextCT · Digital Labor Pricing

Price the work, not the seat

Seat comparisons undersell it: ContextCT doesn’t displace license spend — it displaces implementation labor. Sell it as digital labor, billed in the currency Salesforce buyers already budget.

The Real Baseline — implementation economics
ContextCT seat / month$150
One SF consultant hour$150–250
One consultant day$1.6–2k
Senior LSC consultant / month$25–40k
Off the chart: a typical OCE/Veeva → LSC migration services line runs $500k–$2M. Against that budget, the knowledge layer is a rounding error — with leverage on every hour of it.
The Model — Digital Labor Credits
  • One prepaid currency — credit packs with Flex-Credits mechanics: the procurement motion SF buyers already have approvals for
  • Spend on agent work — retrievals and token-metered context, as agents build
  • Spend on outcomes — deliverables bill only on acceptance: AI-assisted PR merged, object mapping passed UAT
  • Convert to humans — the same credits redeem CT expert hours when agents hit their limits: one fungible workforce
The unlock: bills to the services budget — the six-figure line the client already planned — not to a new software line fighting for approval.
FDE packages:  skilled Cursor engineers, embedded
  • 0.5 FTE — from $15k/moFractional FDE: reviews, unblocking, knowledge curation
  • 2 FTE — from $55k/moEmbedded squad: builds with your team, runs the agent fleet
  • 5 FTE — from $125k/moFull program: end-to-end delivery, credits bundled
Why it closes:  risk moves to CT, budget stays put
  • Zero-risk entryOutcomes bill on acceptance — shipped work, not lookups
  • No new budget lineConsumes the implementation budget already approved
  • Built-in retentionCredits & FDE hours roll into the next phase
Consultant rates: typical senior Salesforce/LSC market ranges, 2026. Credit denominations to be validated with pilot accounts.
Customertimes · Cursor-Powered LSC Delivery