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458,064 tools. Updated 2026-08-14 20:18

"Learning NestJS Framework Knowledge" matching MCP tools:

  • Retrieve evidence from a configured knowledge base to answer learning questions. Adjust depth and candidate count to control response detail and coverage.
    MIT
  • Returns a testing template tailored to the source file's framework, including baseline scenarios and test file path patterns. Falls back to language baseline if framework is unrecognized.
    MIT
  • Retrieve the current state of the learning engine, including framework count, learning phase, signal count, and last reflection time.
    MIT
  • Register a project by providing its path and framework (or leave auto for detection) to give the MCP server cross-project context for mobile, backend, and admin codebases.
    MIT
  • Generate NestJS module scaffolds with service, optional controller, and entity following LaunchFrame conventions to maintain project consistency.
    MIT

Matching MCP Servers

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    A demonstration implementation of Model Context Protocol (MCP) using NestJS framework, allowing developers to build MCP-compatible applications with playground testing capabilities.
    47
    MIT
  • A
    license
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    C
    maintenance
    A NestJS module for building Model Context Protocol (MCP) servers using decorators to expose services as tools, resources, and prompts. It features auto-discovery, a built-in playground UI, and support for multiple transports including SSE and Stdio.
    21
    MIT

Matching MCP Connectors

  • Search SORACOM documentation: service guides, FAQ, API references, IoT recipes, etc.

  • Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.

  • Create a new project with any supported framework such as Spring Boot, React, Vue, Next.js, FastAPI, and others. Configure options including TypeScript, testing, Docker, and database.
    MIT
  • Retrieve pending knowledge base update candidates from the review queue, flagged by the learning loop for human approval before addition to the knowledge base.
  • Retrieve documentation from the Puppet Master framework knowledge base covering CSS, components, composables, database, API, config, RTL, and rules.
  • Enhance project documentation recommendations by applying knowledge graph and memory learning to base suggestions, yielding context-aware results.
    MIT
  • Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
    MIT
  • Generate an OpenAPI specification by analyzing framework source code, removing the requirement for a standalone spec file.
    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
  • Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.
    Business Source 1.1
  • Report awkward, missing, or slow experiences to improve per-agent learning without sharing email content.
    MIT