A managed MCP server that keeps multiple AI agents coherent. Shared specs, versioned decisions, one source of truth — so every agent builds the same thing.
Implementer, tester, reviewer — all reading the same spec version. Prevents agents contradicting each other or drifting from intent.
Works instantly with Claude Code, Cursor, Windsurf, and any MCP-compatible AI tool. Drop in, no config.
Define which agents can read specs and which can write them. The spec is a controlled artefact, not a free-for-all.
Without a shared spec, parallel agents hallucinate intent independently. specmcp gives every agent the same ground truth — so divergence signals a real problem, not a coordination failure.
Publish org-wide design guidelines, API standards, and architecture patterns as shared specs. Every team's AI tools inherit your guardrails automatically.
Know exactly which spec version each agent used when it generated code or made a decision. Full traceability from spec to output, every time.
Which agent read what spec, when, and from which tool. Complete logs for compliance, debugging, and understanding how AI agents interact with your specifications.
From solo developers to engineering orgs running agent fleets.
Run implementer, tester, and reviewer agents simultaneously. specmcp keeps them coherent — same spec, same version, no contradictions.
Store project specs and architecture decisions. No more re-explaining context at the start of every session.
Centralize specifications across teams with granular access controls, versioning, and audit logging built in.
Publish canonical API contracts and architecture standards. Every agent in the org inherits your guardrails automatically.
specmcp.ai is where senior engineers, platform leads, and AI-native teams come to understand spec-driven development and multi-agent workflows. Early sponsors get direct access to that audience from day one.
The companies running furthest ahead — Anthropic, OpenAI, Spotify — treat specification as the engineering discipline and code as a generated artefact. Multi-agent workflows make this even more critical: without a shared, versioned spec, parallel agents drift, contradict each other, and produce irreconcilable outputs. specmcp is the infrastructure that makes multi-agent development reliable. Sponsors are aligned with that future.
Help us build in public. Ideal for individuals, small tools, and open-source projects aligned with spec-driven development.
Visible, aligned partnership at launch. Best for dev tools, platforms, and companies building in the AI-native engineering space.
Deep alignment. For companies whose product is directly complementary — agent orchestration, developer tooling, or platform infrastructure.
The tooling layer for multi-agent development is wide open. Let's build it together.
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