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457,697 tools. Updated 2026-08-14 14:03

"ESP microcontroller programming and control tutorials" matching MCP tools:

  • Generate executable Python code for nonlinear programming, rootfinding, ODE/DAE simulation, and optimal control, with an explanation of the approach.
    MIT
  • Extract code snippets, CLI commands, and programming content from YouTube video transcripts. Designed for developer tutorials to capture npm, git, and code patterns.
    MIT
  • Identifies programming languages, frameworks, databases, cloud services, and tools mentioned in YouTube video transcripts for tech talks and tutorials.
    MIT
  • Create and validate an STM32CubeMX .ioc file for a specified board or microcontroller, saving it to a new directory with your chosen toolchain and project name.
    MIT

Matching MCP Servers

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    An MCP server for managing ESP-IDF workflows, enabling LLMs to build, flash, and test firmware for ESP32 and related microcontrollers. It provides tools for project creation, target configuration, and serial port management to simplify embedded development.
    155

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  • Read and write Mission Control state via MCP — projects, tasks, subtasks, templates, status updates.

  • Discover microcontroller hardware blocks by extracting peripheral names, base addresses, and descriptions from ARM CMSIS SVD files.
  • Search CometChat documentation for SDK guides, UI Kit references, REST API specs, and integration tutorials. Get ranked snippets with direct links and optional version filtering.
    Apache 2.0
  • Search local Aztec documentation for tutorials, guides, and API references. Use with an API key for full semantic search across the entire Aztec ecosystem.
    MIT
  • Access Tenzir documentation to understand TQL operators, functions, and tutorials before implementing cybersecurity data workflows.
    Apache 2.0
  • Ask programming questions and get explanations from Kimi's model without codebase context. Use for algorithms, code reviews, or general coding advice.
    MIT
  • Search Jina AI's official blog for articles about AI, machine learning, neural search, embeddings, and Jina products to find documentation, tutorials, announcements, and technical deep-dives.
    Apache 2.0
  • Generate optimal DFS lineups using linear programming for NBA, NFL, MLB, or NHL. Apply cash game, tournament, or balanced strategies with player constraints and stacking preferences to maximize projected points within salary caps.
    MIT