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Securely run code and manage reusable tools for LLM-driven workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Riza MCP Server" yet — see the docs or source repo.
Use Riza MCP Server to execute this Python code in an isolated environment: read a CSV file, calculate the missing-value ratio for each column, and output a summary table. If execution fails, return the error log and fix suggestions.
Returns execution results, a missing-value summary, and error details with fix suggestions if needed.
Using Riza MCP Server, create a reusable tool that takes JSON data as input and returns grouped statistics by a specified field. Provide the tool definition, sample input/output, and explain how to call it again.
Produces a reusable tool definition, invocation method, and examples for future automation tasks.
Use Riza MCP Server to run this failing JavaScript and analyze why it breaks. Debug it step by step, fix the code, and return the working version with a change summary.
Outputs the debugging process, root cause, fixed code, and an explanation of each change.
Authenticate, inspect capabilities, check credits, and run Risha.ai generation requests.
Query RZ AI Labs services, workshops, and contact information quickly.
Index documents and retrieve relevant context for better LLM responses.
Let AI securely query private local documents with persistent memory.
Expose modular retrieval and reasoning tools to AI assistants through MCP.
Securely run code and file operations for debugging, analysis, and automation.