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Isolator MCP Server

isolator-mcp is a Model Context Protocol (MCP) server written in TypeScript. It acts as a wrapper around the embedded isolator Go CLI tool, providing a secure code execution sandbox accessible via MCP.

LLM applications (MCP Hosts) can connect to this server and use its execute_code tool to safely run Python, Go, or JavaScript code snippets provided directly or loaded from predefined snippet files.

Features

  • Provides the execute_code MCP tool.

  • Supports executing code provided directly (language, entrypoint_code) or via named snippets (snippet_name).

  • Supports multiple languages (Python, Go, JavaScript, configurable).

  • Uses the embedded isolator Go CLI (isolator-cli/) for secure Docker container execution.

  • Configurable security defaults (timeout, resource limits, network) via isolator_config.json.

  • Manages temporary directories on the host for code execution.

  • Handles file copying into containers (by instructing the isolator CLI).

  • Returns structured results (stdout, stderr, status) via MCP, setting isError: true on tool-level failures.

Related MCP server: SQL MCP Server

Prerequisites

  • Docker: Required for container creation and execution by the isolator-cli. Ensure the Docker daemon is running.

  • Go: Required to build the embedded isolator-cli Go binary.

  • Node.js and npm: Required to install dependencies, build, and run the isolator-mcp TypeScript server.

Installation

  1. Build isolator Go CLI: Navigate to the embedded Go CLI directory and build the binary:

    cd isolator-cli
    go build -o isolator main.go
    cd .. 

    This creates the ./isolator-cli/isolator executable needed by the server.

  2. Configure isolator-mcp:

    • Edit isolator_config.json: Update isolatorPath to point to the absolute path of the built binary (e.g., /Users/ompragash/Documents/Cline/MCP/isolator-mcp/isolator-cli/isolator). Adjust default limits, container workdir, language images, or the promptsDir (used for snippets) location if needed.

    • Ensure the prompts directory exists (default: ./prompts). Add code snippet files (e.g., hello_world.py). The filename base (e.g., hello_world) is used as the snippet_name.

  3. Install Server Dependencies: Navigate to the main directory (isolator-mcp) and run:

    npm install
  4. Build Server: Compile the TypeScript code:

    npm run build

    This creates the executable script at build/index.js.

  5. Configure MCP Host: Add the server to your MCP client's settings file (e.g., cline_mcp_settings.json for the VS Code extension):

    {
      "mcpServers": {
        "isolator": {
          "command": "node",
          "args": ["/Users/ompragash/Documents/Cline/MCP/isolator-mcp/build/index.js"],
          "env": {},
          "disabled": false,
          "autoApprove": []
        }
      }
    }

    (Adjust the path in args if necessary). The MCP Host should automatically detect and start the server.

Important Note: Ensure the Docker images specified in isolator_config.json (e.g., python:3.11-alpine, golang:1.21-alpine) are pulled onto your system beforehand using docker pull <image_name>. The isolator tool does not automatically download missing images.

Local Development / Testing

To run the server locally for development or testing (without installing it via MCP Host settings):

  1. Build Go CLI: Ensure the isolator Go CLI is built within its subdirectory:

    cd isolator-cli 
    go build -o isolator main.go
    cd ..
  2. Build TS Server: In this main directory (isolator-mcp), run npm install and npm run build.

  3. Configure: Make sure isolator_config.json correctly points to the built ./isolator-cli/isolator binary via the isolatorPath key (use the absolute path).

  4. Run Server: Execute the built server directly using Node:

    node build/index.js

    The server will start, connect via stdio, and print logs (including console.error messages from index.ts) to the console.

  5. Interact (Manual): You can manually send JSON-RPC messages (e.g., tools/list, tools/call) to the server's standard input to test its responses. Tools like @modelcontextprotocol/inspector can also be helpful (npm run inspector).

(Remember to stop this manually run server before relying on the MCP Host to start it via the settings file.)

Architecture & Flow

  1. MCP Host Request: An LLM asks the MCP Host (e.g., VS Code Extension) to call the isolator server's execute_code tool with arguments.

  2. Server Processing (index.ts):

    • Receives the tools/call request via stdio.

    • Validates arguments using Zod.

    • Loads configuration from isolator_config.json.

    • Determines the code source:

      • If snippet_name is provided, reads the corresponding file from the configured promptsDir and determines the language from the file extension.

      • If entrypoint_code and language are provided, uses them directly.

    • Creates a temporary directory on the host.

    • Writes the entrypoint code and any additional_files into the temporary directory.

    • Constructs the command-line arguments for the embedded isolator Go CLI, including security flags from the config and the path to the temporary directory.

    • Spawns the isolator process using Node.js child_process.spawn.

  3. Go CLI Execution (isolator-cli/isolator run):

    • Parses flags (including the new --env flag).

    • Creates a tar stream of the temporary directory contents.

    • Uses the Docker SDK to create a container with specified image, resource limits, environment variables (from --env), and security settings (NO bind mount).

    • Uses CopyToContainer to copy the tar stream into the container's working directory.

    • Starts the container, which executes the requested command (e.g., python /workspace/hello_world.py).

    • Waits for completion, captures stdout/stderr.

    • Removes the container.

    • Prints the result (status, output, etc.) as JSON to its stdout.

  4. Server Result Handling (index.ts):

    • Reads the JSON output from the finished isolator process stdout.

    • Parses the JSON result.

    • Formats the CallToolResult for MCP, combining stdout/stderr and setting isError if the Go CLI reported a non-success status.

    • Sends the result back to the MCP Host.

    • Cleans up the temporary directory on the host.

  5. MCP Host Response: Relays the result back to the LLM, which then formulates a response for the user.

execute_code Tool

Description

Executes code (Python, Go, JavaScript) in a secure, isolated container environment.

Input Schema (arguments)

  • language (string, optional): The programming language (e.g., "python", "go", "javascript"). Required if snippet_name is not provided.

  • entrypoint_code (string, optional): The main code content to execute. Required if snippet_name is not provided.

  • entrypoint_filename (string, optional): Filename for the main code (e.g., "main.py", "script.js"). Defaults based on language if not provided.

  • additional_files (array, optional): Array of objects, each with:

    • filename (string, required): Name of the additional file.

    • content (string, required): Content of the additional file.

  • snippet_name (string, optional): Name of a pre-defined code snippet file (without extension) located in the configured promptsDir. Mutually exclusive with language and entrypoint_code.

Constraint: Either snippet_name OR both language and entrypoint_code must be provided.

Output (CallToolResult)

  • content: An array containing a single TextContent object.

    • type: "text"

    • text: A string containing the combined stdout and stderr from the execution, formatted like:

      --- stdout ---
      [Actual stdout output]
      --- stderr ---
      [Actual stderr output]

      If an error occurred during execution (non-zero exit code, timeout), the text will be prepended with Execution Failed (status): [error message]\n\n.

  • isError (boolean): true if the execution status reported by the isolator CLI was "error" or "timeout", false otherwise.

(Protocol-level errors, like invalid arguments or failure to start the process, will result in a standard MCP error response instead of a CallToolResult).

Available Tools

1 tool
execute_codeC

Executes code (Python, Go, JavaScript) in a secure, isolated container environment.

ParametersJSON Schema
NameRequiredDescriptionDefault
additional_filesNoOptional array of additional files needed for execution
entrypoint_codeNoThe main code content to execute. Required unless using snippet_name.
entrypoint_filenameNoOptional filename for the main code (defaults based on language).
languageNoThe programming language (python, go, javascript). Required unless using snippet_name.
snippet_nameNoName of a pre-defined code snippet to execute (e.g., 'hello_world'). Mutually exclusive with entrypoint_code/language.

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions 'secure, isolated container environment' which hints at safety, but doesn't disclose critical behaviors like execution time limits, resource constraints, output handling, error behavior, or authentication needs. For a code execution tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose. Every word earns its place, with no redundancy or unnecessary elaboration. It's appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a code execution tool with no annotations and no output schema, the description is incomplete. It lacks details on return values, error handling, execution constraints, and safety guarantees. The description doesn't compensate for the missing structured data, leaving significant gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description doesn't add any parameter-specific details beyond what's in the schema, such as explaining mutual exclusivity rules or language-specific defaults. Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Executes code') and resource ('in a secure, isolated container environment'), specifying supported languages (Python, Go, JavaScript). It distinguishes from potential alternatives by mentioning the execution environment, but without sibling tools, full differentiation isn't possible.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives is provided. The description mentions the execution environment but doesn't specify use cases, prerequisites, or limitations. Without siblings, this is less critical, but still a gap in usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedexecute_code

TDQS

B3.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it to. The tool's purpose is clearly defined and distinct by default.

Naming Consistency5/5

Since there is only one tool, it inherently follows a consistent naming pattern with itself. The tool name 'execute_code' uses a clear verb_noun structure, which is appropriate and consistent in this minimal context.

Tool Count2/5

A single tool for a server named 'Isolator MCP Server' suggests a very narrow scope, but it may be too minimal for practical use. While the tool handles code execution, the server's purpose might imply broader isolation features, making the count feel thin and potentially under-scoped.

Completeness2/5

The tool surface is severely incomplete for a server focused on isolated code execution. There are obvious gaps, such as no tools for managing containers, listing available environments, checking execution status, or handling input/output beyond the single execute command, which will limit agent capabilities.

Maintenance

ActivityInactive
ResponsivenessNo issues

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