depct: MCP Server Provides Claude with Live Runtime Analysis and Documentation

What depct Does
depct is an MCP server that gives Claude Code access to always-updated documentation, runtime analysis, dependency maps, and architecture diagrams. It instruments your Node.js runtime to capture application behavior and generates structured documentation that Claude reads before starting to code.
Setup and Runtime Instrumentation
To start using depct, run:
npx depct.dev startThe tool instruments your Node.js runtime and captures:
- HTTP routes
- DB queries
- Middleware chains
- External calls
- Response codes
Documentation Structure and Confidence Levels
depct generates structured runtime documentation tagged with three confidence levels:
- Observed: Saw it happen during runtime
- Inferred: Strong evidence from runtime patterns
- Hypothesis: Possible risk based on analysis
What Claude Gets Access To
- Full documentation that's always up to date with Claude's changes
- Runtime errors with file location, endpoint, status code, and occurrence count
- Architecture overview showing how services connect and where dependencies break
- Breaking change detection - if a route rename or dependency update causes failures, it surfaces immediately
Testing Results
During testing, the runtime error data immediately told Claude that errors were 404s from probe traffic hitting undefined routes. This would have required reading code and server logs to piece together manually. The call graph surfaced a self-loop in middleware without any manual instrumentation. After a route rename, updating documentation required only one tool call instead of hunting down every documentation reference.
How It Works with Claude
Claude reads the generated documentation before it starts coding. When Claude finishes making changes, depct incrementally updates the documentation automatically with no manual step required.
📖 Read the full source: r/ClaudeAI
👀 See Also

Cross-Model Review Loop for AI Coding Agents Catches Critical Planning Flaws
A developer built a cross-model review system where a second AI model reviews plans from coding agents before execution, catching critical flaws like rollback failures and security holes. The tool is MIT licensed and includes a TUI dashboard.

Agent-factory: A Claude Code Plugin for Persistent AI Sub-Agent Teams
Agent-factory is a Claude Code plugin that creates persistent sub-agent teams with distinct personalities and file-based memory. It scaffolds 2-5 agents per project through a conversational interview process, with each agent having specific roles like code review, tech debt tracking, or strategy.

Adam CAD Harness Integrates with Fusion and Onshape for Agentic CAD Editing
Adam’s agentic CAD harness now integrates with Autodesk Fusion and PTC Onshape, reading and editing feature trees via natural language. Install via one-liner commands for macOS/Windows.

Culpa: Open Source Deterministic Replay Engine for AI Agent Debugging
Culpa is an open source tool that records LLM agent sessions with full execution context, enabling deterministic replay using recorded responses as stubs instead of hitting real APIs. It works with Anthropic and OpenAI APIs via proxy mode or Python SDK.