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.
npx agentmods add instructions/bumpyclock/file-tools-mcp/claude-mdgit clone --depth 1 https://github.com/BumpyClock/file-tools-mcpWhat 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 | $0.00996 | $0.00996 |
| Opus 5 | $0.00498 | $0.00498 |
| Sonnet 5 | $0.00199 | $0.00199 |
| Haiku 4.5 | $0.00100 | $0.00100 |
Grade A, and why
file-tools-mcp 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
please follow the coding guidance mentioned in ~/.claude/docs/writing-code.md Follow additional guidance mentioned in ~/.claude/docs/python.md & ~/.claude/docs/using-uv.md
Use the available MCP tools for searching up the latest documentation on MCP server implementation and follow the best practices outlined there. We will be using the official python-sdk for MCP servers. Use context7 mcp server to get the latest documentation and examples when implementing the server.
Project Overview
This is an MCP (Model Context Protocol) server implementation for file tools. The goal is provide tools to LLMs and coding agents to quickly get context of a project by getting project structure and contents of multiple files in a single request.
Available Tools
project_structure
Generates a tree view of a directory structure while respecting .gitignore patterns.
Parameters:
path(str, optional): Directory path to analyze (default: current working directory)max_depth(int, optional): Maximum depth to traverse (default: None for unlimited)show_hidden(bool, optional): Include hidden files and directories (default: False)
Example usage:
# Get structure of current directory
result = await session.call_tool("project_structure", {})
# Get structure with depth limit
result = await session.call_tool("project_structure", {
"path": "/path/to/project",
"max_depth": 3
})
# Include hidden files
result = await session.call_tool("project_structure", {
"show_hidden": True
})
read_multiple_files
Reads multiple files and returns their contents in a single response with clear separation.
Parameters:
paths(list[str], required): List of file paths to read (absolute or relative paths)
Features:
- Each file's content is clearly separated with headers showing the file path and size
- Handles errors gracefully (file not found, permission denied, binary files)
- Returns all results in a single response for efficient LLM processing
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.
- yesterday First seen · 147 lines · 996 tokens per session scan A 0e46b91675cb
file-tools-mcp CLAUDE.md is an instructions file published in the GitHub repository BumpyClock/file-tools-mcp (0 stars, last pushed 1y ago), licensed MIT. It adds 996 tokens to every session, about $0.0050 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 2026-08-31.
Other instructions, from other repositories
Athena-Public AGENTS.md
Instructions for winstonkoh87/Athena-Public, covering agents.md — athena workspace, docs index (compressed), key workflows (slash commands), core modules (load order) and skills index.
ductor AGENTS.md
Instructions for PleasePrompto/ductor, covering project overview, development commands, setup, run and tests.
RuleForge AGENTS.md
Instructions for he-yufeng/RuleForge, covering agents.md, commands, boundaries and style.
blender-copilot CLAUDE.md
Instructions for dwgx/blender-copilot, covering claude.md, blender copilot — agent onboarding guide, what this project is, ai working principles (core — applies to all sessions) and architecture.
ductor GEMINI.md
Instructions for PleasePrompto/ductor, covering project overview, development commands, setup, run and tests.
ductor CLAUDE.md
Instructions for PleasePrompto/ductor, covering project overview, development commands, setup, run and tests.