DevTaskMcp: Instructions file for Claude Code

CLAUDE.md

DevTaskMcp CLAUDE.md is an instructions file for Claude Code from KanoCifer/DevTaskMcp. It costs 1,025 tokens per session, scanned A, original, MIT.

Project instructions for developing and running DevTaskMcp, an MCP server that connects AI agents to a development-task API. They cover the project structure, environment settings, deployment, and tests.

In plain words
What is it for?
Use them when changing DevTaskMcp, starting its local server, deploying it with Docker, configuring environment variables, or running its test suite.
Why use it?
They give coding agents the repository-specific rules and commands needed to work safely in the project. They also document required authentication and server settings.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions CLAUDE.md.

This is KanoCifer/DevTaskMcp's own configuration. It tells Claude Code how to work on DevTaskMcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything DevTaskMcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to KanoCifer/DevTaskMcp. 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/KanoCifer/DevTaskMcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/KanoCifer/DevTaskMcp

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 1,025 This file is loaded in full into every session.
When invoked 1,025 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01025 $0.01025
Opus 5.5 $0.00410 $0.00410
Sonnet 5.5 $0.00205 $0.00205
Haiku 4.5 $0.00103 $0.00103

Measured 2mo ago against content hash e5873df9e5ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

DevTaskMcp 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 · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Project

DevTaskMcp is an MCP server (Python, FastMCP) that wraps the kanocifer.chat dev-task API as Task Document v3 tools for AI agents. It implements a "frontier" pattern — agents claim and execute the next ready task from a kanban board. The v3 protocol collapses all long-form text into a single detail Markdown body; structured fields are passed as inline tool parameters.

Commands

# Run the MCP server (streamable-http, binds 0.0.0.0:8003, endpoint /mcp/)
uv run python -m devtask_mcp.server

# Docker deploy
docker compose up --build

# Run the test suite
uv run --group dev python -m pytest tests -q

Server env: MCP_HOST/MCP_PORT (default 0.0.0.0:8003), MCP_AUTH_TOKEN (static Bearer token; empty disables app-level auth). The container binds loopback only — a reverse proxy in front terminates TLS.

Environment

.env (gitignored, copy from .env.example) provides:

  • DEVTASK_API_KEY — required, Bearer for the API. DevTaskClient raises RuntimeError at construction if empty.
  • DEVTASK_API_BASE — defaults to https://api.kanocifer.chat/api/v3.

Code style

  • from __future__ import annotations in every source file (PEP 604 union syntax).
  • Google-style docstrings with Args: sections.
  • Logger name: "devtask-mcp".

Critical: Chinese literal enums

Task model enum values are Chinese strings, not English constants. Validating at the Python boundary prevents bad values from wasting API round-trips:

Field Canonical values
TaskType "问题", "功能需求", "优化", "技术债"
TaskPriority "P0 紧急", "P1 高", "P2 中", "P3 低"
TaskStatus "待评估", "待排期", "进行中", "已搁置", "已完成"
TaskScope free-form str, recommended format "<层>-<技术>" e.g. "前端-React"

Read the full file on GitHub · 73 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. 2mo ago First seen · 73 lines · 1,025 tokens per session scan A e5873df9e5ef

Subscribe to this mod's changes

DevTaskMcp CLAUDE.md is an instructions file published in the GitHub repository KanoCifer/DevTaskMcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,025 tokens to every session, about $0.0041 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.

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