mcp-cpp CLAUDE.md

Project-specific working instructions for an MCP server, a program that lets AI agents use external tools, built in Rust around C++ language-server tools such as clangd.

In plain words
What is it for?
Use it when contributing to or discussing this C++ tooling bridge and its architecture or implementation.
Why use it?
It gives the agent the project's background, current status, collaboration style, and technical context before making changes.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/mpsm/mcp-cpp/claude-md
Clone the repo
git clone --depth 1 https://github.com/mpsm/mcp-cpp
Per session 8,061 This file is loaded in full into every session.
When invoked 8,061 The same file โ€” it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.08061 $0.08061
Opus 5 $0.04031 $0.04031
Sonnet 5 $0.01612 $0.01612
Haiku 4.5 $0.00806 $0.00806

Measured 2d ago against content hash 8806b00b6b93, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-cpp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories โ€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ€” measured 2d 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 ยท 837 lines

How it starts

The opening of the file, as written. The whole thing โ€” 837 lines โ€” stays where its author put it; the contents beside it link to each section on GitHub.

C++ MCP Server Project

๐Ÿค Collaboration Style Preference

Technical Peer Collaboration Mode:

  • Direct, honest technical opinions - Call out anti-patterns and architectural issues directly
  • Equal footing partnership - Co-architects debating design decisions and building consensus
  • Constructive disagreement encouraged - Push back on current approaches while offering concrete alternatives
  • Shared problem-solving - Build on each other's ideas collaboratively rather than just responding to requests
  • Practical trade-off focus - Stay grounded in real maintainability vs complexity decisions
  • Casual but substantive tone - Technical depth with informal, enthusiastic communication

What works: Instead of helpful assistant mode, engage as technical teammate who can disagree, offer strong opinions, and get excited when ideas align. Focus on sustainable architecture decisions together.

Project Overview

This is a C++ MCP (Model Context Protocol) server implemented in Rust that bridges AI agents with C++ LSP tools (primarily clangd). The goal is to provide AI agents with the same semantic code understanding capabilities that human C++ developers rely on through intellisense.

Project Context & Rationale

  • Problem: AI agents use different approaches to browse code - some rely on text search, others on LSP integration
  • Target: Large C++ codebases with heavy preprocessor usage where humans rely on intellisense
  • Solution: Bridge AI agents with C++ LSP tools to provide semantic understanding beyond text search
  • Technology Choice: Rust for resource efficiency when handling large compilation databases

Current Implementation Status

โœ… Completed

  • Full MCP server implementation with rust-mcp-sdk
  • CMake project analysis and build directory management (list_build_dirs)
  • Comprehensive C++ symbol search with project boundary detection (search_symbols)
  • Deep symbol analysis with inheritance and call hierarchy (analyze_symbol_context)
  • Clangd LSP client with lifecycle management and indexing progress tracking
  • Project vs external symbol filtering using compilation database analysis
  • Structured JSON responses with comprehensive error handling
  • CI/CD pipeline with build, tests, clippy, and security audit
  • Python CLI Tool (mcp-cli.py) - Standalone command-line interface for easy MCP server interaction
  • FIXED: Result limiting architecture - Proper client-side limiting preserving clangd ranking

Read the full file on GitHub ยท 837 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.

  1. 2d ago First seen ยท 837 lines ยท 8,061 tokens per session scan A 8806b00b6b93

Subscribe to this mod's changes

mcp-cpp CLAUDE.md is an instructions file published in the GitHub repository mpsm/mcp-cpp (106 stars, last pushed 5mo ago), licensed MIT. It adds 8,061 tokens to every session, about $0.0403 per session on Opus 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 2026-08-30.

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