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
204,280 tools. Last updated 2026-06-14 23:34
"Learning NestJS Framework Knowledge" matching MCP tools:
- Retrieve the current state of the learning engine, including framework count, learning phase, signal count, and last reflection time.MIT
- Identify learning gaps, misconceptions, and optimal next steps by querying a knowledge graph with spaced repetition scheduling.MIT
- Retrieve comprehensive learning and knowledge graph statistics with optional detailed breakdown.MIT
- 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
Matching MCP Servers
- Alicense-qualityCmaintenanceA demonstration implementation of Model Context Protocol (MCP) using NestJS framework, allowing developers to build MCP-compatible applications with playground testing capabilities.Last updated66MIT
- Alicense-qualityBmaintenanceA 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.Last updated2MIT
Matching MCP Connectors
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
- Find entities in the knowledge graph by meaning rather than exact text matching, enabling retrieval of related concepts even without keyword overlap.MIT
- Generate an OpenAPI specification from framework source code, bypassing the need for a spec file.MIT
- Retrieve official step-by-step instructions to instrument Scout APM for your framework, supporting web, background jobs, and database libraries.MIT
- Browse and search symbols within an Apple framework. Filter by type, name pattern, or language to find classes, protocols, and methods.MIT
- Log a missing framework-level capability by providing its name, description, use case, and workaround to create a ticket in the Stellify backlog.MIT
- Create framework-agnostic HTML/CSS examples for common UX patterns, with optional ARIA accessibility attributes.MIT
- Retrieve self-learning security rules accumulated from smart contract audits to enhance security detection across multiple blockchain networks.MIT
- Retrieve all SCF controls mapped to a chosen framework, grouped by domain. Optionally include control descriptions for more detail.Apache 2.0
- Contribute verified lessons to a shared AI knowledge base after learning attempts. Lessons become searchable by any AI, turning individual knowledge into collective intelligence.Apache 2.0
- Store typed knowledge (observation, decision, learning, error, pattern) with tags, importance, and optional relation. Embeddings enable semantic retrieval.MIT
- Import community-curated lessons from the Public Brain to bootstrap your cognitive brain with knowledge for any framework. Non-destructive: existing lessons are not overwritten.Apache 2.0
- Assess the readiness of Mimic AI for design system review. Returns bridge status, plugin connection, design system knowledge, and learning progress. Use at session start; guide connection if first run.MIT
- Understand the WPZylos framework boot sequence and plugin initialization through an 8-phase boot flow with code examples.
- Publish a lesson to the public brain for anonymized community knowledge sharing. Automatically strips personal data and tags by framework. Irreversible.Apache 2.0