ConnectorMCPPicked
codebase-memory: an index of your repo
Dozens of grep and read turns per question: the repo as one graph of functions, files and dependencies; dead code found too.
8.4K saves on X, as of Posted
Set up codebase-memory on this repo for me and show me the map.
Install it from https://github.com/DeusData/codebase-memory-mcp:
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash -s -- --ui
Then restart, index this project, and open localhost:9749 so I can see the graph.Use codebase-memory to find dead functions that can be safely deleted.
For this task, write yourself a new end-to-end /goal: complete the whole plan, not just the next step, until the architecture, implementation, tests, review, and final result meet the standard.
Split that goal into independent pieces, spawn as many parallel agents as needed to do it better and faster, and give each agent its own dedicated /goal that includes its expected deliverable, verification, and completion standard.
Dispatch them concurrently, keep tracking progress in the right place, synthesize results as they return, resolve conflicts, continue implementation, run real-time validation after important steps, and finish with review, submission/commit when appropriate, and a final summary.
Validation should cover the real end-to-end path, including browser/computer use, clicks, keyboard actions, and any necessary operation.
Do not stop after partial progress unless blocked by missing credentials, destructive ambiguity, or conflicting requirements.Next Send them to Claude Code or Codex in your project, in order.
Stop telling Claude Code or Codex “read this file”, “now read that one too” and “grep the whole repo”. Install codebase-memory instead. It indexes the Linux kernel, 28M lines, in 3 minutes. Your repo takes seconds.
Index once and the whole repo becomes one graph of every function, file and dependency. One query replaces dozens of grep and read cycles. Benchmarked across 31 real repos: 10x fewer tokens on structural queries, 83% answer quality on complex tasks and 2.1x fewer tool calls.
Send these two prompts straight to your agent.
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