Model Context Protocol

Your specs,
always in context

A managed MCP server for your product specs, API docs, and architecture decisions. Give your AI tools the context they actually need.

claude — mcp
// Your AI assistant calls specmcp
tool_call → get_spec("auth-service-v2")
 
// Instantly gets the full spec
{ name: "Auth Service v2",
  endpoints: [...], schemas: [...],
  decisions: [...] }
📄

Upload & Sync

Import specs from markdown, Notion, Confluence, or GitHub. Keep them in sync automatically.

🔌

MCP Native

Works instantly with Claude, Cursor, Windsurf, and any MCP-compatible AI tool. Zero config.

👥

Team Ready

Shared spec libraries with access controls. Everyone's AI tools pull from the same source of truth.

Specs are infrastructure.
Treat them that way.

01

Stop Spec Drift

Specs rot in wikis and docs. When your AI tools pull from a stale spec, they build the wrong thing. specmcp keeps one canonical version — versioned, diffable, and always current.

02

Shared Enterprise Specs

Publish org-wide design guidelines, API standards, and architecture patterns as shared specs. Every team's AI tools inherit your guardrails automatically.

03

Agentic Provenance

Know exactly which spec version an AI agent used when it generated code or made a decision. Full traceability from spec to output, every time.

04

Audit Everything

Who read what spec, when, and from which tool. Complete audit logs for compliance, debugging, and understanding how AI agents interact with your specifications.

Built for how you work

Give every AI interaction the context it needs to get things right the first time.

Solo Dev

Side projects & freelance

Store your project specs and architecture decisions. Your AI pair programmer always knows the plan.

Startup

Move fast, stay aligned

Keep product specs, API contracts, and design docs accessible to every team member's AI tools.

Enterprise

Specs at scale

Centralize specifications across teams with granular access controls and audit logging.

Agency

Client-ready context

Organize specs per client. Onboard AI tools to any project in seconds, not hours.

Market Validation

The business case is already proven

Between November 2025 and February 2026, every major technology company shifted from code-centric to specification-centric development. specmcp is the infrastructure layer for this transition.

70–100%
AI-generated code at leading tech companies
3×
code output at NVIDIA with flat bug rates
55%
drop in new grad hiring at top 15 tech firms since 2019
50+
features shipped at Spotify while devs stopped writing code
Industry adoption — Feb 2026
Anthropic 70–90% Claude Code team at 100% — no manual edits for 2+ months
OpenAI 100% Engineers no longer write code; GPT-5.3 helped create itself
Spotify 100% Top devs haven't written a line since December 2025
NVIDIA 3× out 30,000 engineers on AI tools, tripled output
Google 25%+ AI-generated code reviewed and accepted by engineers
Meta 50% Targeting 50%+ AI development by mid-2026
Microsoft 20–30% Targeting 60% by end of 2026 via Copilot
⟐

The inversion is already here

Engineers now spend 80% of their time on specification and review — exactly the inverse of the old model. The companies that have moved furthest (Anthropic, OpenAI, Spotify) are the ones that treat specification as the engineering discipline and code as a generated artefact. specmcp is the managed infrastructure that makes this workflow reliable, versioned, and team-ready.

Specs are the new source code. The tooling layer is wide open.

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