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Give AI coding agents local-first project memory, decisions, risks, and checkpoints.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ITHZ MCP" yet — see the docs or source repo.
Use ITHZ MCP to generate a context pack for the current repository, including project goals, core modules, dependencies, development conventions, and current unfinished tasks, and save it in project-owned files.
A structured project context record that helps AI agents understand the codebase consistently.
Use ITHZ MCP to record the decision for this caching-layer refactor, including why Redis was chosen, alternatives considered, known risks, scope of impact, and checkpoints to validate later.
A traceable decision-and-risk record with rationale, impact, and follow-up validation requirements.
Use ITHZ MCP to create a gate checklist for this release, listing required tests, performance metrics, security checks, declared risks, and the owner and status for each item.
A release gate and checkpoint checklist that helps the team and AI agents ship consistently.
Give AI agents deterministic local project memory, context packs, and checkpoints.
Give AI coding agents searchable local project memory with safe structured updates.
Build local codebase memory for AI agents with search and architecture insights.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Generate project context maps for AI coding agents to inspect repositories and log changes.
Build semantic memory and structural code indexes for persistent AI project context.