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693,112 tools. Updated 2026-10-23 21:06

"Resources for Learning a Subject" matching MCP tools:

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    B
    maintenance
    这是面向智能运维场景的 MCP 工具服务,让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程,从而支撑自动故障排查与根因分析。
    MIT

Matching MCP Connectors

  • Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
    MIT
  • Get the complete overview of the Dataflowr Deep Learning course: all sessions, modules, and their relationships, to provide students with a clear learning path.
    Apache 2.0
  • Search Tes teaching resources and filter by keywords, subject, key stage, sale status, country, and sort order; returns listing facts such as title, author, price, rating, and downloads.
    MIT
  • Get a Tes teaching-resources author shop by username to see profile stats, bio, and paginated resource listings; filter listings by subject.
    MIT
  • Generate a secure masked URL to share a Materio PDF via its viewer. Provide a CDN URL or specify semester, subject, and topic.
    MIT
  • List all educational resources organized by semester, subject, and category. Optionally filter by semester number to narrow results.
    MIT
  • Search over Materio educational PDFs using keywords for semester, subject, category, or topic to get direct CDN links.
    MIT
  • Retrieve a structured listing of all resource categories and topics for a subject, with direct PDF URLs, to understand the full scope of available material.
    MIT
  • Retrieve lecture notes, explanations, and learning objectives for any module. Use this to answer conceptual questions about course topics.
    Apache 2.0
  • Submit the final success or failure, outcome, and proof for a completed action, closing the loop for accountable fleet learning.
    MIT
  • Append a learning entry to a skill's memory to retain insights for future runs. After completing a skill, capture what failed or could be improved, then store it as a concise note tied to that skill.
    MIT
  • Delete all cortical_tiles derivatives for one subject: per-subject NIfTI files, subdirectories, and aggregated array/CSV rows. Preview deletions first with dry_run=True.
    CeCILL-B Free Software Agreement
  • Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.
    Business Source 1.1