MCP-NATIVE · LLM-AGNOSTIC · SPEC-DRIVEN

The Structured Intelligence Layer
for AI-Driven Development

DevCortex gives AI coding agents precision context — one requirement at a time. Ship faster, with full traceability.

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Precision context. On demand.

DevCortex is the MCP server that gives AI agents exactly what they need — one requirement at a time.

  • dc_get_requirement— agent fetches ONE requirement at a time
  • Acceptance criteria delivered with each REQ — no re-explanation
  • dc_create_issue— agent logs defects against requirements automatically
  • Status updates flow back — full audit trail, zero overhead
  • Traceability matrix auto-generated — REQ → AC → Test confirmed

Architecture Overview

AI Agent(Claude Code)DevCortexMCP Server● ACTIVERequirementsDBjust-in-time REQ312 tokens onlyauto-generatedauto-generatedTraceability Matrix

Everything your AI agent needs to ship production code

MCP Server
Just-in-time context retrieval — any MCP-compatible AI agent
Requirements Database
Structured specs with MoSCoW priority, user stories and ACs
Traceability Matrix
REQ → Acceptance Criteria → Test — auto-generated, always current
Issue Tracking
Issues linked to requirements — agents log defects automatically
LLM Agnostic
Works with Claude, GPT, Gemini, local models — not IDE-locked
BYO-Key Model
Customers bring their own API keys
Team Collaboration
Multi-user orgs with role-based access and audit trails
Power CLI (dcx)
Import specs, manage requirements, check status from terminal
AI Assistant
Generate specs and requirements from project descriptions
V-Methodology
Agentic spec → build → verify loop — deterministic outcomes
Predictable Pricing
Flat monthly plans — no per-token or per-seat surprises
Local LLM Support
Works with Ollama and open-source models for air-gapped teams
How it Works

From specification to verified build

01

Define your specification

Author a versioned specification document. Leverage the AI assistant to generate structured requirements with acceptance criteria, drawing from your project database.

02

Connect your AI agent via MCP

Connect Claude Code, OpenCode, or compatible MCP agents to the DevCortex server. Agents retrieve only needed context — one requirement, task, or issue at a time.

03

Build with structured context

Implement against explicit acceptance criteria. Eliminates context loss, reduces repetitive explanations, and breaks fix-break cycles. Status automatically syncs back to DevCortex.

04

Verify with the trace matrix

Confirm every requirement includes tested acceptance criteria. Export data to CSV for auditing, client sign-off, or sprint retrospectives.

Active MCP Context
REQ-042 NextAuth HTTP-Only Cookies
status: IN_PROGRESS
ACCEPTANCE CRITERIA
AC-1JWT stored in HTTP-only cookie
AC-2Refresh token rotation enabled
AC-3CSRF protection implemented
AC-4Session expiry < 15 min
AC-5Secure + SameSite flags set
open_issues: 1agent: claude-code
tokens: 847 / 200k

The only full agentic V-methodology platform

FeatureDevCortexAWS KiroTraycerOpenSpec
MCP just-in-time contextNativeClient only
Structured req databasePostgreSQLMarkdownPlatformFiles
Traceability matrixAuto
Issue → REQ linkingTickets
Any AI agent (not locked)Kiro onlyVS Code
Agentic V-MethodologyFull
BYO-Key model

Simple, transparent pricing

Prices are exclusive of applicable taxes and duties, including VAT and applicable sales tax.

Free
$0/ month
  • 1 project
  • 1 user
  • MCP server
  • AI Assist (BYOK)
  • Community support
Get started free
Most Popular
Pro
$29/ month
  • 5 projects
  • Team features
  • Priority support
  • All Free features
Get started free
Enterprise
Custom
  • Unlimited projects
  • SSO
  • SLA
  • Dedicated onboarding
  • JIRA interface
  • JAMA interface
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Have a question or want early access? We'd love to hear from you.