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Standardize and serve structured project context to AI coding assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PCP" yet — see the docs or source repo.
Use PCP to store structured context for the current project, including system architecture, core module relationships, key technical choices, and known constraints, so Cursor and Claude Desktop can read it.
Structured project context records that AI coding assistants can access.
Record in PCP why we chose an event-driven architecture and rejected a monolith, and keep the related constraints in the decision log.
A traceable decision log for future AI-assisted development reference.
Use PCP's built-in CLI to verify whether the current project context is complete, especially architecture notes, domain rules, and roadmap entries.
A verification result showing missing or incomplete context sections.
Developers using tools like Cursor or Claude Desktop can use PCP to centralize architecture, domain rules, and roadmap context, reducing repeated explanations. This helps AI generate code and suggestions with a more consistent project understanding.
Teams can capture key technical decisions and their rationale in PCP during long-term iteration, helping both new members and AI assistants understand historical choices quickly. It suits projects that need ongoing maintenance of complex context.
Before project handoff or connecting a new AI coding assistant, teams can use the built-in CLI to verify that key context has been captured. This reduces misunderstandings caused by missing rules or architecture notes.
PCP is an open protocol and native MCP server for preserving, organizing, and serving structured project context to AI coding assistants. It focuses on standardizing context rather than replacing model intelligence.
The provided description mentions architecture, decision logs, domain rules, and roadmap information. These are served as structured project context for AI coding assistants.
The description explicitly says it is a native MCP server and can be used with AI coding assistants such as Cursor, Claude Desktop, and Antigravity, with built-in CLI verification. Specific installation steps and runtime requirements are not provided here; see the source repository.
Give AI coding agents persistent product context for more consistent development.
Gives AI assistants VSCode context and file operations for development workflows.
Make project docs instantly accessible so Claude Code understands architecture and conventions.
Provide coding standards context so AI-generated code follows team conventions.
Generate project context maps for AI coding agents to inspect repositories and log changes.
Give AI coding assistants project context, review workflows, TDD, and delivery orchestration.