F
licenseNot graded
qualityA
maintenanceEnables LLMs to execute Python code and scripts across system and conda environments, manage installed packages, and read or write text and binary files within an isolated working directory.
-
MCP Code Executor
by bazinga012
Related Servers
Alternatives to MCP Code Executor
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to manage Python environments, execute Python code and scripts, install packages, and read or write files securely within a configured working directory.-
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to interact with Python environments, execute code and scripts, manage packages, and read or write files within an isolated working directory.-
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to interact with Python environments, execute code, manage packages, and perform file operations within a configurable working directory.-
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to interact with Python environments, execute code or scripts, manage packages, and read/write files within an isolated working directory.-
- FlicenseNot gradedqualityNot gradedmaintenanceEnables LLMs to interact with Python environments, execute code or scripts, manage packages, and read/write files within an isolated working directory.-
TDQS
A3.8/5.0
Scored across 9 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no ambiguity. For example, initialize_code_file, append_to_code_file, and read_code_file handle different file operations, while execute_code and execute_code_file target different execution methods. The descriptions explicitly differentiate tools like execute_code (for short snippets) versus the file-based workflow.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, such as append_to_code_file, check_installed_packages, and configure_environment. There are no deviations in naming style or convention across the set, making them predictable and readable.
Tool Count5/5
With 9 tools, the count is well-scoped for a code execution server. Each tool earns its place by covering distinct aspects like file management, environment configuration, dependency handling, and code execution, without being overly sparse or bloated.
Completeness5/5
The tool set provides complete coverage for the code execution domain, including CRUD-like operations for files (initialize, append, read), environment management (configure, get config, install dependencies), and execution (code snippets, files). There are no obvious gaps, and the workflow from file creation to execution is fully supported.
Maintenance
ActivityInactive
ResponsivenessUnresponsive