Retrieve work preferences such as learning style, work environment, schedule, coding style, and tools. Filter by category for specific areas.
164,693 tools. Last updated 2026-05-31 11:59
"Resources for Learning Python Coding" matching MCP tools:
- Persist instructions for a volume so all agents automatically follow coding conventions, project rules, or team preferences.MIT
- Retrieve Spark driver logs from completed notebook executions to debug Python errors and analyze Spark behavior. Use stdout for Python tracebacks or stderr for system logs.MIT
- Retrieve Dockerfile content to analyze image composition, identify dependencies, and understand build processes for security auditing or learning purposes.MIT
- Set up authentication for TwitterAPI.io by learning API key usage, required headers, and viewing code examples in cURL, Python, and JavaScript.MIT
- Routes coding tasks to the optimal AI model by analyzing task complexity, balancing cost and capability for code generation, refactoring, and algorithm design.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.Last updated20121MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.Last updated124MIT
Matching MCP Connectors
Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace
A simple MCP server built with FastMCP and python
- Discover all available UK legal research resources and templates in a single query. Returns metadata for static resources and URI templates for dynamic parameters.MIT
- Refines vague coding requests into structured, agent-specific prompts by extracting requirements, filling edge cases, and running quality checks. Ideal for under-specified tasks before handing to a coding agent.MIT
- Create structured lesson plans with learning objectives, activities, and assessments for any educational topic and grade level.MIT
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- After Python refactoring, close the project to release allocated resources and free memory.MIT
- Find coding traces using natural language queries and tag filters to access shared programming knowledge and solutions.Apache 2.0
- Retrieve a Tatoeba sentence by ID, including all translations and audio recordings, to support language learning.MIT
- Create a new Python file with initial content to start coding projects that may exceed token limits, enabling structured code execution in Conda environments.MIT
- Run Python code securely in a WebAssembly sandbox to execute scripts and return output. Supports pure Python without external dependencies.Apache 2.0
- Translate RosettaScripts XML protocols into PyRosetta Python code for computational protein design and analysis.MIT
- Check Morpheus server, plan schema, and Python versions for compatibility and introspection in AI development workflows.MIT
- Converts Sinhala or Singlish instructions into precise English technical prompts for AI coding agents, automatically inferring technical context.MIT
- Retrieve detailed specifications of WindAI's machine learning model including architecture, training data, and accuracy metrics to understand prediction methodology.MIT
- Analyze cache savings from prompt caching across all detected AI coding tools.MIT