Last updated
March 16, 2026
MCP profile
Afterpaths
Summarize and search coding sessions, extract rules from discoveries, benchmark coding agents.
GeneralPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
Extract rules from what worked. Track what didn't. Find the best models for your stack.
You're running Claude Code, Cursor and Codex, but which model actually works best for your stack? What approaches lead to breakthroughs vs. expensive dead ends? How do you stop your agents from making the same mistakes?
Afterpaths gives you a single view across all your AI coding tools: compare what's working, capture discoveries as rules, and guide your agent team away from costly diversions.
1. ap audit — Overview of your sessions, models used, and rule status 2. ap show 5 --raw — Raw session transcript (the messy JSONL data, made readable) 3. ap show 5 — LLM-generated summary extracting discoveries, dead ends, and decisions 4. head .claude/rules/gotchas.md — Rules automatically extracted and ready for Claude's next session
Specifications
Status
live
Industry
General
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- pip install afterpaths[mcp]
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install afterpathsPerformance
Usage
Quick Reference
- Name
- Afterpaths
- Function
- Summarize and search coding sessions, extract rules from discoveries, benchmark coding agents.
- Transport
- Package
- Language
- Python
- Install
- pip install afterpaths
- Source
- External (Registry)
- License
- Open Source
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