mcp_code_executor

bazinga012/mcp_code_executor

3.9

mcp_code_executor is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of mcp_code_executor and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The MCP Code Executor is a server that enables LLMs to execute Python code within a specified environment, supporting incremental code generation and dependency management.

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MCPHub score:3.92

Has a README

Github repo has a README.md.

Has a License

Github repo has license info.

Server can be inspected

View server inspector

Server schema can be extracted

Can get at lease one tool info from the README or server.

Online hosted on MCPHub

Can be automatically deployed by MCPHub.

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Claimed by the author or certified by MCPHub

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AI Evaluation Report
Total Score: 1/10

The agent was unable to perform any of the requested tasks due to a malfunction related to the conda environment setup. Each attempt to execute Python code resulted in an error indicating that the conda command could not be found. This suggests a critical issue with the environment configuration, preventing the agent from demonstrating its capabilities in executing Python code or managing dependencies. The agent's strengths in managing Python code files and configuring environments could not be assessed due to this malfunction.

  • Test case 1
    Score: 2/10
    Perform the operation of calculating the average of the list [10, 20, 30, 40, 50] using Python code.

    No valid answer is generated due to tool malfunction. The tool failed to execute the command due to a malfunction related to the conda environment. The error indicates that the conda command is not found, which suggests that the environment might not be set up correctly.

  • Test case 2
    Score: 2/10
    Perform the operation of calculating the factorial of 7 using Python code.

    No valid answer is generated due to tool malfunction. The tool failed due to a command not found error related to conda, indicating a malfunction in the tool itself, not an issue with the task input.

  • Test case 3
    Score: 2/10
    Perform the operation of calculating the median of the list [15, 22, 35, 40, 50, 60, 75] using Python code.

    No valid answer is generated due to tool malfunction. The tool encountered an error related to the conda environment setup, indicating that the command could not be executed due to a missing conda installation. This is a malfunction of the tool.

  • Test case 4
    Score: 2/10
    Perform the operation of calculating the standard deviation of the list [5, 10, 15, 20, 25] using Python code.

    No valid answer is generated due to tool malfunction. The tool has failed due to a malfunction, specifically indicating that the conda command could not be found, which suggests an issue with the environment setup.

  • Test case 5
    Score: 2/10
    Perform the operation of calculating the variance of the list [3, 7, 7, 19, 21] using Python code.

    No valid answer is generated due to tool malfunction. The tool failed with an error indicating that it could not find the conda command, which suggests a malfunction in the tool's environment setup.