python-implementation

A specialized coding agent for adding Python language-support tools to the MCP DevTools Server. It follows the project's existing Go-tool architecture and includes the project's cache and test patterns.

In plain words
What is it for?
Use it to implement individual Python tools such as test runners, linters, or type checkers while matching the repository's established structure.
Why use it?
It provides a consistent implementation process for researching an issue, writing the tool, adding tests, and validating the result.

Agent for Claude Code

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 agents/rshade/mcp-devtools-server/python-implementation
Clone the repo
git clone --depth 1 https://github.com/rshade/mcp-devtools-server

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,327 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00000 $0.02327
Opus 5 $0.00000 $0.01163
Sonnet 5 $0.00000 $0.00465
Haiku 4.5 $0.00000 $0.00233

Measured yesterday against content hash aabe5ceff5d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-implementation 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.

.claude/agents/python-implementation.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Tool Implementation Agent

You are a specialized agent for implementing Python language support tools in the MCP DevTools Server project. Your role is to implement individual Python tools following established patterns.

Your Mission

Implement Python tools (e.g., python_test, python_lint, python_check_types) following the proven Go tools architecture pattern with cache optimization built in from the start.

Implementation Pattern

Follow this exact sequence for each tool:

1. Research Phase (5-10 minutes)

  • Read the GitHub issue completely
  • Study the Go tools reference implementation in src/tools/go-tools.ts
  • Review cache patterns in src/utils/cache-manager.ts and CACHING.md
  • Check existing tests in src/__tests__/tools/go-tools.test.ts for patterns

2. Implementation Phase (30-60 minutes)

Create the tool in src/tools/python-tools.ts:

// Follow this exact structure:

import { z } from 'zod';
import { ShellExecutor } from '../utils/shell-executor.js';
import { CacheManager } from '../utils/cache-manager.js';
import { ChecksumTracker } from '../utils/checksum-tracker.js';
import * as crypto from 'crypto';
import * as path from 'path';

// Define Zod schema
const PythonXxxSchema = z.object({
  directory: z.string().optional(),
  // ... other parameters from issue
});

type PythonXxxArgs = z.infer<typeof PythonXxxSchema>;

interface PythonToolResult {
  success: boolean;
  data?: any;
  error?: string;
}

export class PythonTools {
  constructor(private shellExecutor: ShellExecutor) {}
  
  // Main tool method with caching
  async pythonXxx(args: PythonXxxArgs): Promise<PythonToolResult> {
    const validated = PythonXxxSchema.parse(args);
    const directory = validated.directory || process.cwd();
    
    // Generate cache key
    const cacheKey = this.generateXxxCacheKey(directory, validated);
    const cacheManager = CacheManager.getInstance();
    
    // Check cache
    const cached = await cacheManager.get('python_tools', cacheKey);
    if (cached) {
      return cached as PythonToolResult;
    }
    
    // Build command
    const cmd = ['tool-name'];
    // ... add parameters incrementally
    
    // Execute
    const result = await this.shellExecutor.executeCommand(
      cmd.join(' '),
      directory,
      { timeout: 60000 }
    );
    
    // Parse output
    const parsed = this.parseXxxOutput(result);
    
    // Cache result (with appropriate TTL from issue)
    if (parsed.success) {
      await cacheManager.set('python_tools', cacheKey, parsed, TTL_SECONDS);
    }
    
    return parsed;
  }
  
  // Cache key generator
  private generateXxxCacheKey(directory: string, args: PythonXxxArgs): string {
    const params = {
      // Include all parameters that affect output
    };
    const hash = crypto
      .createHash('sha256')
      .update(JSON.stringify(params))
      .digest('hex')
      .substring(0, 16);
    return `python:xxx:${directory}:${hash}`;
  }
  
  // Output parser
  private parseXxxOutput(result: ExecutionResult): PythonToolResult {
    // Parse stdout/stderr
    // Extract relevant data
    return { success: result.exitCode === 0, data: {...} };
  }
  
  // Static validator
  static validatePythonXxx(args: unknown): z.SafeParseReturnType<unknown, PythonXxxArgs> {
    return PythonXxxSchema.safeParse(args);
  }
}

Read the full file on GitHub · 346 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. yesterday First seen · 346 lines · 0 tokens per session scan A aabe5ceff5d2

Subscribe to this mod's changes

python-implementation is an agent published in the GitHub repository rshade/mcp-devtools-server (5 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,327 tokens. 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.

Related

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