What is CodeBase-MCP-Server CLAUDE.md?

Project instructions for a code-search assistant that indexes a software repository and lets an AI assistant find relevant code through an MCP server, a standard connection for AI tools.

It is for building and maintaining the repository index, code retrieval, MCP connection, and project conventions.

It gives the project a shared reference for its design, rules, and planned work, so changes stay consistent.

How AyushShanu/CodeBase-MCP-Server configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to AyushShanu/CodeBase-MCP-Server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/AyushShanu/CodeBase-MCP-Server/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/AyushShanu/CodeBase-MCP-Server

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/ayushshanu/codebase-mcp-server/claude-md/github.svg)](https://agentmods.dev/instructions/ayushshanu/codebase-mcp-server/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/ayushshanu/codebase-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/ayushshanu/codebase-mcp-server/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/ayushshanu/codebase-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/ayushshanu/codebase-mcp-server/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,491 This file is loaded in full into every session.

When invoked 2,491 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.02491	$0.02491
Opus 5.5	$0.00996	$0.00996
Sonnet 5.5	$0.00498	$0.00498
Haiku 4.5	$0.00249	$0.00249

Measured 2mo ago against content hash 0c598c7eddee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

CodeBase-MCP-Server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codebase RAG MCP Server — Project Memory

Overview

An AI developer assistant that indexes a real GitHub repository, understands code structure via Tree-sitter/AST-aware chunking, retrieves relevant code using hybrid BM25 + vector search, reranks the results, generates citation-backed answers, and exposes it all through an MCP server so Claude Code/Claude Desktop can use it. Ships open-source, MIT-licensed, clone-and-run — anyone can use it with only free API keys, no hosted backend required. This file is the source of truth for the roadmap, architecture, stack, and conventions — read it before starting any day's work. Full design rationale lives in Codebase_RAG_MCP_Final_Plan.md.

Constraints

Plan window: 20–31 August 2026 (12 days). Working V1 > polished V2 > extra features — cut scope, not the core retrieval + MCP demo, if behind.
Distribution: open-source, MIT license, bring-your-own-free-API-key. No hosted multi-user service, no remote-MCP-OAuth, no billing in this sprint.
Hardware: MacBook, Apple M5, 16GB unified memory, 512GB SSD. Local embedding/reranker/index footprint is well under 1GB — no concern. Optional local LLM mode: Qwen2.5-Coder-7B-Instruct at Q4_K_M (~4.5–5GB) fits comfortably. Never ship a large model crushed to Q2_XXS as the default — 2-bit quality loss undermines citation accuracy, which is the whole point of this tool.

Architecture

GitHub Repository
  → Repository Loader → File Filtering
  → Tree-sitter Parsing → AST-aware Code Chunks + file/line metadata
  → Embeddings (local)  ─┐
  → BM25 Index (local)  ─┤→ Hybrid Retrieval → Reranker (local)
                          ┘
  → LLM Answer Generation → File/Line Citations
  → MCP Server → Claude Code / Claude Desktop

Tech Stack — options are intentional, pick deliberately per spec

Layer	Primary	Alternative	Alternative
LLM generation	NVIDIA NIM	Groq	OpenRouter (+ optional Gemini, + optional local Qwen2.5-Coder-7B Q4_K_M for offline mode)
Embeddings (local only)	`all-MiniLM-L6-v2` (start here, Day 4)	`jina-embeddings-v2-base-code` (swap before final)	`bge-small-en-v1.5`
Reranker (local only)	`cross-encoder/ms-marco-MiniLM-L-6-v2`	`bge-reranker-base`	`mxbai-rerank-base-v1`
Vector store	FAISS (`faiss-cpu`)	Qdrant (local Docker or free cloud tier)	Chroma
Keyword search	`rank-bm25`	—	—
Parsing	Tree-sitter (`py-tree-sitter`)	—	—
MCP	Official MCP Python SDK	—	—

Read the full file on GitHub · 122 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago Changed · +4 lines · +249 tokens per session 0c598c7eddee
2mo ago First seen · 118 lines · 2,242 tokens per session scan A 171e35a915b5

Subscribe to this mod's changes

CodeBase-MCP-Server CLAUDE.md is an instructions file published in the GitHub repository AyushShanu/CodeBase-MCP-Server (1 stars, last pushed 2mo ago), licensed MIT. It adds 2,491 tokens to every session, about $0.0100 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AI RAG and vectors

CodeBase-MCP-Server CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
CodeBase-MCP-Server CLAUDE.mdAyushShanu/CodeBase-MCP-Server	Instructions file	1	2mo ago	MIT	A	2,491	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

CodeBase-MCP-Server: Instructions file for Claude Code