my-minimax-mcp

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MCP server that wraps MiniMax AI as an autonomous code executor for Claude Code.

Purpose: Coding tasks consume the bulk of your Claude subscription quota on execution (writing, testing, debugging). This MCP server offloads that work to MiniMax API (~$0.04/task), so your Claude subscription handles significantly more tasks per day. Built-in savings tracking proves it with real data.

Architecture

Claude Code (Opus) ─── orchestrator
    │
    ├── minimax_generate_code    → simple code generation
    ├── minimax_agent_task       → autonomous agent loop (read → write → test → debug)
    ├── minimax_chat             → multi-turn conversation
    ├── minimax_plan             → structured JSON implementation plan
    ├── minimax_cost_report      → session cost tracking
    ├── minimax_session_tracker  → cross-session usage tracking (auto-persist on shutdown)
    ├── minimax_web_search       → web search via MiniMax Coding Plan API
    └── minimax_understand_image → image analysis via MiniMax VLM

The key feature is the agent loop: MiniMax uses function calling to autonomously read files, write code, run tests, and debug — equivalent to a Sonnet sub-agent, but without consuming Claude subscription tokens.

Tools

Installation

npm install my-minimax-mcp

Setup

1. Get a MiniMax API Key

Sign up at platform.minimax.io and create an API key.

2. Install & Configure

Option A: Via npm (recommended)

npm install my-minimax-mcp

Option B: From source

git clone https://github.com/wongo/my-minimax-mcp.git
cd my-minimax-mcp
npm install
npm run build

3. Create .env

MINIMAX_API_KEY=your_api_key_here

4. Register in Claude Code

claude mcp add --transport stdio --scope user minimax -- bash /path/to/my-minimax-mcp/run-mcp.sh

Or manually edit ~/.claude/settings.json:

{
  "mcpServers": {
    "minimax": {
      "command": "npx",
      "args": ["my-minimax-mcp"],
      "env": {
        "MINIMAX_API_KEY": "your-api-key",
        "MINIMAX_DEFAULT_MODEL": "MiniMax-M2.7"
      }
    }
  }
}

Note: Use claude mcp add for the simplest setup, or edit ~/.claude/settings.json directly.

Restart Claude Code. The 8 tools will appear automatically. Verify with claude mcp list.

5. Enable Self-Improvement Loop (Optional)

npx my-minimax-mcp --init

This displays the CLAUDE.md template and creates the usage log. Copy the template to ~/.claude/CLAUDE.md to enable executor routing rules. Session tracking is automatic — the MCP server persists usage data on shutdown. See templates/setup-guide.md for details.

CLI (for debugging)

# Code generation
npx tsx src/cli.ts --task "fibonacci in Python" --language python

# Chat
npx tsx src/cli.ts --mode chat --task "explain async/await"

# Autonomous agent
npx tsx src/cli.ts --mode agent --task "fix the failing tests" --dir ./my-project

CLI runs also append to MINIMAX_COST_LOG, so --end-session and --savings-report include normal CLI usage in addition to MCP usage.

Configuration

All settings via environment variables:

Self-Improvement Loop

Usage tracking is automatic — the MCP server persists session data to ~/.claude/minimax-usage.jsonl on shutdown (SIGTERM/SIGINT). No manual start/end calls required.

Optional commands via minimax_session_tracker:

• "start" — check current mode and recent trends
• "status" — mid-session progress with trend analytics and streak info
• "end" — explicit close with root cause notes if target was missed

Modes:

• Normal: Default. Target is MINIMAX_SESSION_TARGET calls (default: 5)
• Warning: Last session missed target — prioritize MiniMax
• Forced: 2 consecutive misses — all code changes must use MiniMax

Trend analytics: The status command returns trend direction (improving/declining/stable), streak length, and actionable insights.

SessionEnd hook (optional, for fully automatic tracking):

npx my-minimax-mcp --end-session

Add to ~/.claude/settings.json hooks:

{
  "hooks": {
    "SessionEnd": [{
      "hooks": [{
        "type": "command",
        "command": "npx my-minimax-mcp --end-session",
        "timeout": 10
      }]
    }]
  }
}

Set MINIMAX_DEFAULT_MODEL to the highest model your Token Plan supports. All MiniMax tools inherit this value by default, and the API will reject models not available on your plan.

Token Savings Tracking

Every MiniMax call is tracked, and the savings are computed automatically. This includes normal CLI runs as well as MCP server usage. Use minimax_cost_report to see real-time savings per session, or run the CLI for cumulative reports.

Real-time (per session)

minimax_cost_report now includes a savings section:

• tokensOffloaded: Exact count of tokens MiniMax handled instead of Claude
• equivalentSonnetCalls: How many Sonnet sub-agent calls that represents
• avgTokensPerCall: Self-adaptive metric (auto-improves with more data)

Cumulative (historical)

npx my-minimax-mcp --savings-report

Shows all-time, monthly, and daily breakdowns with tool-level analysis:

=== MiniMax Token Savings Report ===

Tokens offloaded to MiniMax: 426,040 in + 161,496 out = 587,536 total
Equivalent Sonnet calls saved: ~68 (avg 8,635 tokens/call)
MiniMax API cost: $0.2468 (billed separately, not your subscription)

--- By Tool ---
  agent_task           400,254 tokens (68.1%) | 8 calls
  generate_code        144,290 tokens (24.6%) | 37 calls
  chat                  28,142 tokens (4.8%)  | 20 calls

Self-Adaptive Accuracy

The avgTokensPerCall metric adapts to your usage patterns:

• < 10 data points: Uses conservative default (8,000 tokens/call)
• 10-100 data points: Computes from all your metered calls
• 100+ data points: Uses rolling window of last 100 calls

Confidence level (LOW/MEDIUM/HIGH) is reported so you know how reliable the estimate is. The more you use MiniMax, the more accurate the savings report becomes.

Web Search & Image Understanding

These tools use MiniMax's Coding Plan API (separate from the chat completions endpoint). They are included in your Token Plan subscription at no additional per-call cost.

Web Search

minimax_web_search { query: "TypeScript MCP server tutorial" }

Returns organic results (title, link, snippet, date) and related search suggestions.

Image Understanding

minimax_understand_image {
  prompt: "Extract the business hours from this image",
  imageSource: "https://example.com/schedule.png"
}

Accepts three input types:

• HTTP/HTTPS URL: Fetched and converted to base64 automatically
• Local file path: Read from disk (supports @ prefix)
• Base64 data URL: Passed through directly

Supported formats: JPEG, PNG, WebP (max 20MB).

Features

• Max output: 65,536 tokens per response (~10,000 Chinese characters / ~50K English words)
• Think tag stripping: MiniMax <think>...</think> reasoning tags are automatically removed from all responses

Security

The agent loop runs with strict sandboxing:

• Bash whitelist: Only npm test, npx, node, tsc, eslint, pytest, go test, cargo test, etc.
• Command chaining blocked: &&, ;, | operators are rejected
• Path isolation: All file operations restricted to the working directory
• Agent working-directory boundary: minimax_agent_task can only operate inside MINIMAX_WORKING_DIR or one of its subdirectories
• Iteration cap: 25 iterations max per task (configurable)
• Timeout: 5 minutes per task (configurable)
• Token budget: 500K input tokens max per task

Cost

MiniMax API pricing (per 1M tokens):

Typical task cost: ~$0.04 (agent loop with 10 iterations).

Verified Test Results

Full integration test (14 MCP calls, 13 tests):

Total cost:   $0.012 (1.2 cents)
Input tokens: 38,913
Output tokens: 7,228

Testing

# Run all tests (96 tests)
npm test

# Run with coverage report
npm run coverage

Unit tests cover safety validation, cost tracking, file writing, server initialization, session tracking, image utilities, the Coding Plan client, and the savings calculator (adaptive averaging, cumulative grouping, tool breakdown). Coverage report uses Node.js built-in test coverage (--experimental-test-coverage).

Project Structure

src/
├── mcp-server.ts           # MCP server entry (stdio transport)
├── cli.ts                  # CLI for debugging
├── client/
│   ├── minimax-client.ts   # OpenAI SDK wrapper for MiniMax chat API
│   ├── coding-plan-client.ts # Native fetch client for Coding Plan API (web search, VLM)
│   └── types.ts            # Shared types and pricing
├── agent/
│   ├── loop.ts             # Agent loop core logic
│   ├── functions.ts        # Function definitions for MiniMax
│   ├── executor.ts         # Function call executor
│   └── safety.ts           # Whitelist, path validation, limits
├── tools/
│   ├── agent-task.ts       # minimax_agent_task
│   ├── generate-code.ts    # minimax_generate_code
│   ├── chat.ts             # minimax_chat
│   ├── plan.ts             # minimax_plan
│   ├── web-search.ts       # minimax_web_search
│   ├── understand-image.ts # minimax_understand_image
│   └── index.ts            # Tool registry
├── conversation/
│   └── store.ts            # In-memory conversation store
└── utils/
    ├── cost-tracker.ts     # Token usage and cost tracking (with session ID)
    ├── session-tracker.ts  # Cross-session usage tracking and trend analytics
    ├── file-writer.ts      # Safe file writing
    ├── image.ts            # Image to base64 data URL conversion
    ├── savings-calculator.ts # Token savings computation (self-adaptive)
    └── retry.ts            # Exponential backoff retry

License

MIT