Stop building middleware.
Deploy solutions.
Claude Code already reasons, retrieves, and uses tools. You don’t need a workflow builder in between. You need domain-specific MCP servers, pre-configured agents with persistent memory, and someone who’s already solved your problem.
What you actually need
Templates teach you to fish in the wrong pond. Claude Code is the pond.
MCP Servers
Domain-specific connectors that plug directly into Claude Code. Healthcare payer APIs, legal e-discovery systems, financial data sources. The hard part, done.
Agent Configurations
Pre-built .claude/agents/, CLAUDE.md rules, hooks, and skills for specific workflows. Plug in, and the agent knows your domain. No training required.
Cortex Memory Seeds
Pre-loaded Cortex memory databases with industry knowledge — regulatory taxonomies, compliance frameworks, pricing benchmarks. Instant domain expertise on day one.
Managed Service
We run the agents for you. Custom MCP development, dedicated Cortex instances, SLA-backed support. Your AI workforce, our operations.
The template trap
Why the old model doesn’t work anymore.
Templates are static
You buy a workflow. It doesn’t learn. Run it 1,000 times, it’s still as dumb as the first run.
Middleware adds latency
n8n between Claude and your tools is an unnecessary hop. MCP connects directly. Faster, simpler, fewer failure points.
No memory
Workflow tools don’t remember. Every execution starts from zero. Cortex gives your agents persistent, evolving memory.
You can build it
If you can describe the workflow, you can prompt Claude Code to build it. Templates sell what you already have.
Solution Packs
Complete automation solutions — not templates. Each pack includes MCP servers, agent configurations, Cortex memory seeds, CLAUDE.md rules, hooks, and documentation. Plug in and run.
Compliance & Governance
Solution PackContinuous compliance evidence collection, regulatory monitoring, and audit preparation. Agents that investigate, reason about sufficiency, and maintain audit-ready packages — with persistent memory of auditor preferences and control evolution.
Compliance Evidence Collector
MCP server that connects to GitHub (commit signing, branch protection, review policies), AWS (IAM, CloudTrail, encryption configs), and HR systems (onboarding/offboarding logs). Surfaces raw compliance evidence as structured MCP resources that agents can query, filter, and reason about.
SOC 2 Audit Agent
Maps Trust Service Criteria to your infrastructure, enters an evidence sufficiency loop for each control — collects artifacts, reasons about whether they prove the control is operating, identifies gaps, and either collects corroborating evidence or generates remediation plans. Produces audit-ready packages organized by criteria with evidence chains.
Guardrail Monitor
Intercepts AI outputs, classifies against a regulatory taxonomy (SEC, FINRA, GDPR, HIPAA), runs counterfactual probing, and when a violation is detected, traces the causal chain and proposes guardrail rule updates with false-positive impact simulation.
Regulatory Knowledge Base
Pre-loaded Cortex memory with SOC 2 Trust Service Criteria, GDPR article cross-references, HIPAA safe harbor provisions, common auditor questions, and enforcement precedents. Your agents start with regulatory expertise on day one.
Engineering Intelligence
Solution PackFrom feature request to verified backlog, autonomously. Codebase-aware PRD generation, multi-judge verification, dependency-graph issue decomposition, and architectural memory that compounds across projects.
Codebase Analysis Server
MCP server that exposes your codebase as structured context — file dependency graphs, API surface maps, test coverage data, architectural layer boundaries. Agents query it to ground PRDs and issue decomposition in actual code reality, not assumptions.
PRD Pipeline Agent
End-to-end specification pipeline: analyzes impact zones via codebase MCP, generates 9-file PRD (requirements, acceptance criteria, technical design, user stories, test plan, roadmap, KPIs), then runs multi-judge self-verification — structural completeness, internal consistency, technical feasibility against actual code, and testability. Iterates until all gates pass. Integrates with AI Architect PRD Generator.
Issue Decomposition Agent
PRD → backlog with dependency graph analysis: decomposes features into stories with acceptance criteria, analyzes cross-story dependencies and critical path, estimates complexity via codebase analysis (files affected, API changes, migration needs), and sequences tickets respecting constraints. Creates issues in GitHub, Linear, or Jira via MCP with labels, estimates, and dependency links.
Architecture Decision Record
Pre-loaded Cortex memory with common architectural patterns, Clean Architecture principles, SOLID violation detection rules, and verification gate criteria. Agents recall past architecture decisions, know which decomposition granularity works, and remember which PRD patterns pass review on first attempt.
Legal & Contract Intelligence
Solution PackPrivilege-aware e-discovery, adversarial contract review, and DSAR investigation with cross-system identifier resolution. On-device processing for attorney-client privilege compliance.
Legal Document Server
MCP server for document management systems, email archives, and file shares. Exposes search, metadata extraction, privilege tagging, and hold management as structured MCP tools. Handles document format normalization (PDF, DOCX, MSG, EML) and Bates numbering.
Contract Review Agent
Clause-level analysis with adversarial reasoning: decomposes contracts into clause taxonomy (liability, IP, termination, indemnity, SLA), runs three-pass review — deviation detection against standard templates, risk scoring with severity/likelihood matrix, adversarial “what could go wrong” reasoning. Generates structured review memo with risk heat map, suggested redlines, and negotiation talking points.
E-Discovery Agent
Autonomous document classification: fans out parallel searches, runs relevance scoring against case issues, privilege analysis (attorney-client, work product, joint defense), and confidentiality tagging. When borderline privilege determinations arise, surfaces analogous rulings and reasons about applicability. Produces Relativity-compatible load files.
Legal Precedent Library
Pre-loaded Cortex memory with clause taxonomy standards, common risk patterns by contract type, privilege determination frameworks, and discovery protocol templates. Agents recall how similar clauses were negotiated in past deals and which risks actually materialized.
Financial Intelligence
Solution PackMulti-source financial analysis with anomaly investigation, SaaS expense optimization with negotiation intelligence, and investor-ready reporting with scenario modeling.
Financial Data Server
MCP server that connects to Stripe, QuickBooks, banking APIs, and SaaS billing systems. Normalizes financial data across sources, exposes transaction queries, subscription inventory, and usage metrics as structured MCP resources. Handles multi-currency normalization and fiscal period alignment.
Financial Analysis Agent
Layered analysis pipeline: trend decomposition (seasonal, cyclical, structural), cohort analysis by customer segment, anomaly detection with automatic root-cause investigation — hypothesizes causes, queries data to test each hypothesis, narrows down. Generates investor-ready reports with forward projections, sensitivity analysis, and variance explanations when metrics diverge from targets.
SaaS Expense Optimizer
Four-pass subscription audit: license utilization (who has unused seats?), feature overlap (duplicate tools?), pricing intelligence (market rates vs what you pay), renewal risk (upcoming auto-renewals with cancellation deadlines). Generates optimization plans with projected savings, migration paths, and pre-drafted negotiation scripts with leverage points per vendor.
Financial Benchmarks
Pre-loaded Cortex memory with SaaS pricing benchmarks, industry revenue multiples, common vendor negotiation patterns, and metric definitions (ARR, NDR, LTV/CAC). Agents track metric trajectories across quarters and recall which anomalies had operational vs accounting root causes.
Healthcare Operations
Solution PackHIPAA-compliant intake orchestration, insurance eligibility verification with appeal logic, and clinical protocol cross-referencing. All processing on-device — no patient data leaves your infrastructure.
Healthcare Integration Server
MCP server for payer eligibility APIs (FHIR-compliant), EHR systems, and scheduling platforms. Handles X12 270/271 eligibility transactions, benefit parsing, and prior authorization status tracking. All data stays on-premises — the server runs locally with no external data transmission.
Patient Intake Agent
Multi-stage intake orchestration: extracts structured data from forms via OCR/NLP, runs insurance eligibility verification with automatic retry and fallback logic, cross-references patient history against clinical protocols for contraindications, and schedules appointments considering provider availability and prep requirements. Handles coverage denials by identifying appeal pathways and drafting appeal letters with supporting documentation.
Clinical Documentation Agent
Processes clinical notes, encounter summaries, and lab results. Maps findings to ICD-10/CPT codes with reasoning chains, identifies documentation gaps that could cause claim denials, cross-references against clinical decision support rules, and generates structured summaries for care coordination. Detects when documentation doesn’t support the diagnosis level and requests clarification.
Payer Intelligence
Pre-loaded Cortex memory with payer-specific approval patterns, common denial reasons by procedure code, appeal success rates by argument type, and clinical protocol references. Agents learn which payers require which documentation and recall patterns from prior authorizations.
Customer Intelligence
Solution PackCross-platform sentiment analysis with causal investigation, competitive content intelligence, and review response automation. Agents that understand why customers feel the way they do — and what to do about it.
Review & Feedback Server
MCP server that aggregates reviews from Google Business, G2, Capterra, Trustpilot, App Store, and social mentions. Normalizes ratings, extracts review text, and exposes temporal queries (reviews this week vs last month). Handles platform-specific authentication and rate limiting.
Sentiment Intelligence Agent
Three-layer analysis pipeline: aspect-level sentiment extraction (pricing, support, UX, reliability), theme clustering with temporal trend detection, and causal investigation for negative spikes — correlates with releases, outages, or pricing changes. Drafts personalized responses using brand voice. Generates weekly intelligence briefs with NPS trajectory and competitive sentiment comparison.
Content Strategy Agent
Competitive intelligence with gap analysis: crawls competitor content, builds a topic coverage matrix, scores gaps by search volume, difficulty, and business relevance. Generates SEO briefs with differentiation angles aligned to brand voice. Enters an editorial planning loop: sequences content by strategic priority, estimates ranking probability, and tracks performance against projections.
Customer Context
Pre-loaded Cortex memory with response templates by complaint category, brand voice guidelines, competitive positioning framework, and content performance benchmarks. Agents track sentiment trends over time and recall which response strategies resolved which complaint types.
How Solution Packs work
No middleware. No workflow builder. Direct integration with Claude Code.
Install the pack
MCP servers register in Claude Code. Agent configs drop into .claude/agents/. Memory seeds load into Cortex. One command.
Connect your systems
MCP servers connect to your actual infrastructure — APIs, databases, SaaS tools. Credentials stay local. No data leaves your machine.
Agents start working
Agents activate with domain expertise from memory seeds. They reason, investigate, and produce outputs immediately. No training period.
Memory compounds
Every run makes agents smarter. Cortex remembers decisions, patterns, and outcomes. By month two, your agents know your business.
Plans
From open source to fully managed. Start free, scale when agents prove their value.
Open Source
forever
- Cortex persistent memory
- PRD Generator
- 18 zetetic agents
- Pipeline orchestration
- Neural graph visualization
- Community support
Pro
billed annually · $129 monthly
- Everything in Open Source
- 1 Solution Pack included
- Premium MCP servers
- Monthly Cortex maintenance
- Priority email support
- Private agent library access
- Additional packs: $199 each
Team
up to 5 seats · billed annually
- Everything in Pro
- 3 Solution Packs included
- Shared Cortex memory across team
- Transactive memory — agent decisions propagate
- Team dashboard & analytics
- Slack support channel
- Additional seats: $49/seat/mo
Managed
starting at $2,000/mo
- Everything in Team
- All Solution Packs
- Custom MCP server development
- Dedicated Cortex instance
- Custom agent configurations
- White-glove onboarding
- SLA-backed support
- Priced as fraction of headcount
All plans include updates to Solution Packs, MCP servers, and Cortex memory seeds. Annual plans save 23%. Need a custom solution for your industry? Let’s talk.
The math
What does it cost when your agents don’t learn?
Without memory
Every workflow run starts from zero. Your SOC 2 agent re-discovers the same evidence locations. Your contract agent re-learns clause patterns. Compounding cost, zero compounding value.
With Cortex memory
Run 1: agent explores. Run 10: agent knows. Run 100: agent anticipates. By month three, your compliance agent finds evidence faster than your team does. That’s the ROI — agents that get cheaper and better every month.
Get started
Install a Solution Pack in under 2 minutes.