Skip to main content
Glama

A tool for debugging Pine Script code MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,410 tools. Last updated 2026-02-07 15:00
  • Retrieve the source code of a script object (LocalScript, Script, or ModuleScript) by specifying the instance path using the MCP server in Roblox Studio. Enables direct access to script data for development and debugging purposes.
    MIT
  • Start a Python debugging session to set breakpoints, step through code, and inspect variables for script troubleshooting.
    MIT
  • Start a Python debugging session to set breakpoints, step through code execution, and inspect variables for script analysis.
    MIT
  • End debugging session to allow PHP script execution to continue normally without debugger interference.
    MIT
  • End debugging while allowing the PHP script to continue running normally, useful for resuming execution without debugger interference.
    MIT
  • Initiate debugging sessions for Python, JavaScript/Node.js, and Rust programs using the Debug Adapter Protocol to set breakpoints, inspect variables, and trace execution.
    MIT

Interested in MCP?

Join the MCP community for support and updates.

RedditDiscord

Matching MCP servers

  • -
    security
    F
    license
    -
    quality
    Provides accurate Pine Script v6 coding assistance through search, completion, and reference lookup tools using a comprehensive Japanese manual database. Enables developers to quickly find functions, constants, annotations, and API specifications for TradingView Pine Script development.
    Last updated 5 months ago
  • -
    security
    A
    license
    -
    quality
    CodeGuard MCP is a real-time AI code security scanning tool used to detect vulnerabilities, keys, and compliance issues in AI-generated code, and is suitable for code security reviews in development environments
    Last updated a month ago
    2
    Apache 2.0
  • -
    security
    A
    license
    -
    quality
    Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.
    Last updated 7 months ago
    MIT