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Cvm: Stateful Programable Task Engine MCP Server

@LadislavSopko

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基本情報

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生産性

トランスポート

stdio

作者

LadislavSopko

投稿者

Ladislav Sopko

Cvm: Stateful Programable Task Engine MCP Server について

Stop Claude from losing track. CVM is a passive state machine that Claude queries for tasks, maintaining perfect execution flow across complex operations.

#cvm#task-engine#state-management

Cvm: Stateful Programable Task Engine MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cvm": {
      "command": "npx",
      "args": [
        "cvm-server@latest"
      ],
      "env": {
        "CVM_STORAGE_TYPE": "file",
        "CVM_DATA_DIR": ".cvm"
      }
    }
  }
}

Cvm: Stateful Programable Task Engine MCP Server のツール

15

概要

What is Cvm: Stateful Programable Task Engine?

Cvm: Stateful Programable Task Engine is a passive MCP server that acts as a state machine. It holds program state for Claude, allowing Claude to process tasks one at a time without losing context. It is designed for developers and users who need reliable execution of complex, multi-step workflows with real loops and conditions.

How to use Cvm: Stateful Programable Task Engine?

Install via npx cvm-server@latest and add it to Claude’s .mcp.json. Write a program using CVM’s TypeScript-like language, then load it with load(), start execution with start(), and have Claude pull tasks via getTask() and submit results via submitTask(). No additional runtime is required beyond Node.js.

Key features of Cvm: Stateful Programable Task Engine

  • Passive state machine – never pushes tasks to Claude
  • Claude pulls tasks one at a time via getTask()
  • Maintains variables, execution position, loops, and conditions
  • Supports arrays, objects, string/array operations, and file listing
  • Uses CC(prompt) to create tasks without calling Claude directly

Use cases of Cvm: Stateful Programable Task Engine

  • Document analysis pipelines over hundreds of files
  • Data extraction from multiple sources with systematic processing
  • Report generation that collects summaries before producing a final report
  • Any workflow requiring loops, conditions, and AI processing without state loss

よくある質問

1

How is CVM different from traditional context-based approaches?

Traditional approaches rely on Claude’s context to maintain state, which fails for complex flows. CVM keeps state externally, so Claude sees only one task at a time and never loses track of variables or execution position.

2

How does the `CC()` function work?

`CC(prompt)` creates a task with the given prompt, pauses program execution, and waits for Claude to retrieve the task via `getTask()`. When Claude submits a result via `submitTask()`, execution resumes with that result.

3

Is CVM active or passive?

CVM is completely passive. It never initiates communication with Claude; it only responds when Claude calls its MCP tools. Claude drives all interactions.

4

What language does CVM execute?

CVM runs a TypeScript-like language that supports variables, arrays, objects, loops, conditions, `CC()`, `fs.listFiles()`, `console.log()`, and `JSON.stringify/parse`.

5

Where does program state live?

All state (variables, execution position, loop counters, complex data structures) is maintained inside CVM, not in Claude’s context. This ensures state persists between tasks.

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