Scan Python files in a directory to generate an import dependency graph, providing a structured map and Mermaid diagram for visualization.
MIT
521,397 tools. Updated 2026-09-06 11:00
"Python context management and dependency solving in ComfyUI" matching MCP tools:
- 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
- Run complex ComfyUI workflows as Python scripts, simplifying multi-stage graph authoring that JSON cannot easily express.MIT
Matching MCP Servers
- AlicenseBqualityFmaintenanceProvides up-to-date Python package manager commands by cross-referencing official pip, poetry, uv, and conda documentation with automatic weekly updates.141MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.1GPL 3.0
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- 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
- 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
- Retrieve ComfyUI server runtime logs to debug execution errors, model loading issues, missing nodes, or Python tracebacks.MIT
- Analyze Python import dependency graphs to identify circular dependencies, orphan modules, hub modules, and instability scores for understanding project architecture.MIT
- Scan Python and Node projects to identify dependency conflicts, vulnerabilities, and outdated packages, then generate a fix plan and remediation script for resolution.MIT
- Analyze imports in JavaScript, TypeScript, and Python files to build a directed dependency graph of local module relationships from a given file or directory path.-