MCP-REPL
The MCP-REPL server provides a comprehensive JavaScript/TypeScript execution and code analysis environment with advanced tooling for debugging, search, and transformation.
Execute JavaScript/TypeScript code directly with Node.js or Deno, supporting ESM imports, CommonJS compatibility, dynamic imports, type checking, and full access to native APIs including web requests
Debug and test hypotheses through iterative code execution with structured debugging approaches and batch operations for complex workflows
Perform semantic code search with natural language queries, metadata extraction, and AST-aware chunking across project directories with configurable folders, ignores, and extensions
Conduct AST-based pattern matching using ast-grep for searching, replacing, linting, and analyzing code structures with support for dry runs and interactive mode
Transform and validate code with pattern-based replacements and YAML-defined rule validation for linting purposes
Analyze AST structures with debugging capabilities for query analysis, pattern understanding, and full tree context viewing
Work across multiple environments including Claude Code, Cursor, GitHub Copilot, and VS Code with flexible configuration options
Provides a secure JavaScript REPL (Read-Eval-Print-Loop) environment to execute code snippets with error handling, memory management, and output formatting.
Enables secure access to Node.js built-in modules and execution of JavaScript code in a sandboxed VM context with working directory support.
Allows running the REPL directly via npx without installation or installing it globally through npm for repeated usage.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP-REPLexecute this JavaScript: console.log('Hello, World!');"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
gm-exec
NOTE: If you're looking fore mcp-repl or, glootie, or GM... its now at: http://github.com/anEntrypoint/gm
Code execution tool for MCP clients and CLI. Multi-language support (JS/TS, Python, Go, Rust, C, C++, Deno, Java, bash). Built on Bun with PM2-managed process isolation.
Related MCP server: MCP QuickJS Runner
MCP Server
Add to your MCP client config:
{
"mcpServers": {
"gm-exec": {
"command": "bunx",
"args": ["gm-exec", "--mcp"]
}
}
}Or install globally:
bun install -g gm-exec
gm-exec --mcpCLI
bunx gm-exec-cli exec --cwd=/app "console.log('hello')"
bunx gm-exec-cli bash --cwd=/app "npm install && npm test"
bunx gm-exec-cli exec --lang=python --cwd=/app "print('hello')"
bunx gm-exec-cli exec --file=script.jsCommands
gm-exec-cli exec [options] <code> Execute code (waits up to 15s, then backgrounds)
--lang=<lang> nodejs (default), python, go, rust, c, cpp, java, deno
--cwd=<dir> Working directory
--file=<path> Read code from file
gm-exec-cli bash [--cwd=<dir>] <cmd> Execute bash commands, same 15s ceiling
gm-exec-cli status <task_id> Poll status + drain output of a background task
gm-exec-cli close <task_id> Delete a background task
gm-exec-cli runner start Start the runner manually (PM2, no autorestart)
gm-exec-cli runner stop Stop the runner
gm-exec-cli runner status Show runner PM2 statusBackground execution
Commands have a hard 15-second ceiling. If still running after that, the process is backgrounded and you get a task ID with monitoring instructions:
Backgrounded after 15s — task still running.
Task ID: task_3
Watch output:
gm-exec-cli status task_3
gm-exec-cli close task_3
gm-exec-cli runner stopThe runner auto-starts before each command and auto-stops after — unless a task was backgrounded, in which case the runner stays alive until you explicitly stop it.
Supported Languages
Language | Runtime |
JavaScript / TypeScript | Node.js / Bun |
Python | python3 |
Go | go run |
Rust | rustc |
C | gcc |
C++ | g++ |
Java | javac + java |
Deno | deno run |
bash / sh / zsh | shell |
Requirements
Bun ≥ 1.0
curl -fsSL https://bun.sh/install | bashAvailable Tools
1 toolexecuteA
Execute code in JS/TS, Go, Rust, Python, C, C++, or bash with auto-runtime detection. Primary tool for testing hypotheses before implementation. Supports both code snippets and shell commands.
| Name | Required | Description | Default |
|---|---|---|---|
| workingDirectory | Yes | Path to working directory for execution. | |
| code | No | Code to execute. Include timeouts for network/async operations to prevent hangs. | |
| commands | No | Bash commands (single or array for planned batch executions) | |
| runtime | No | Execution runtime (default: auto-detect) | |
| timeout | No | Timeout in milliseconds (default: 240000) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions auto-runtime detection and supports for code/shell commands, but doesn't cover critical aspects like permissions, rate limits, error handling, or output format, leaving gaps for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded, with two sentences that efficiently convey the tool's purpose and key features without unnecessary details. Every sentence adds value, making it easy to understand quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (executing code in multiple languages), no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, error handling, and return values, which are crucial for safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 adds minimal value beyond the schema, mentioning code snippets and shell commands which map to 'code' and 'commands' parameters, but doesn't provide additional syntax or usage details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as executing code in multiple languages with auto-runtime detection, distinguishing it as a primary tool for testing hypotheses. It specifies both code snippets and shell commands as inputs, though without sibling tools, differentiation isn't applicable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for testing hypotheses before implementation, providing some context, but lacks explicit guidance on when to use this tool versus alternatives, prerequisites, or exclusions. No sibling tools exist to compare against.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'execute' has a clear, distinct purpose that cannot be confused with any other tool in this set.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'execute' follows a simple verb pattern, and there are no other tools to compare it against for inconsistency.
A single tool is generally too few for a server's purpose, as it limits functionality and flexibility. While the tool is versatile (supporting multiple languages and shell commands), the server likely has a broader scope (e.g., code execution and testing) that could benefit from additional tools for tasks like debugging, logging, or result analysis.
The server appears to be focused on code execution and testing, but with only one tool, there are significant gaps in coverage. For example, there are no tools for managing execution environments, handling dependencies, validating code, or analyzing results, which are common needs in such domains.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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