Generate executable Python code for Tidy3D FDTD and mode-solving simulations from a natural language problem description. Fixes failed code when given the previous code and error.
MIT
597,141 tools. Updated 2026-09-21 12:38
"Python context management and dependency solving in ComfyUI" matching MCP tools:
- Generate AGENTS.md, CLAUDE.md, skill.md, llms.txt, or docs-map.md context files grounded in project dependency versions and authoritative docs for coding agents.MIT
- Install ComfyUI locally in a clean target directory, cloning the repo, creating a dedicated virtualenv, and installing dependencies via pip or uv. Supports version selection and optional ComfyUI-Manager.MITDestructive
- Validate Python script metadata and dependencies without execution. Checks PEP 723 syntax, dependency format, and requires-python compatibility.MIT
- Retrieve ComfyUI system information including GPU details, VRAM usage, Python version, and operating system. Useful for diagnosing hardware and software configuration.MIT
- Restart ComfyUI using saved process info from a prior stop. Works for Desktop app and manual Python installs, with up to 60 seconds wait for API readiness.MIT
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Matching MCP Connectors
Words-in-context vocabulary practice questions with distractor explanations.
Sonatype component intelligence: versions, security analysis, and Trust Score recommendations
- Run complex ComfyUI workflows as Python scripts, simplifying multi-stage graph authoring that JSON cannot easily express.MIT
- Run Python code with automatic dependency resolution. Scripts can declare dependencies via inline metadata or parameters, executed in an isolated sandbox to avoid system pollution.MIT
- Generates creative ideas and multi-perspective analysis on any topic, using project file context for relevant suggestions in design, content, problem-solving, and planning.MIT
- Analyze a remote directory to identify technical environments and read dependency manifests, giving architectural context of a codebase.MIT
- Store a verified change receipt and compute the transitive chain of Python import consumers up to max_distance, showing dependency impact. Report non-Python changes as uncovered for registered analyzers.AGPL 3.0
- Detect upward dependency violations in Python codebases by analyzing layer imports. Returns categorized file counts and dependency edges.MIT
- View running and pending jobs in the ComfyUI execution queue to monitor workflow processing status and manage job priorities.MIT
- Scan Python files in a directory to generate an import dependency graph, providing a structured map and Mermaid diagram for visualization.MIT
- Retrieve and view all saved workflows in your ComfyUI library, enabling easy selection and management.MIT
- Takes a Python file and specified function/class names, returns their full source code along with compressed dependency context.MIT
- Run multiple tool operations in batch with sequential or parallel execution, dependency management, and actions to execute, preview, cancel, or check status.MIT
- Execute Python code directly in a Jupyter kernel, bypassing notebook context for fast execution and testing.MIT
- Identify known-vulnerable packages in Python dependency manifests, enabling proactive security remediation.MIT
- Analyzes import/require graphs in JS/TS/Python to find and isolate circular dependency loops.MIT
- Retrieve ComfyUI server runtime logs to debug execution errors, model loading issues, missing nodes, or Python tracebacks.MIT