Answer learning questions with evidence from your private knowledge base. Retrieve source-backed information directly from local documents.
MIT
519,985 tools. Updated 2026-09-06 08:15
"Learning NestJS Framework Knowledge" matching MCP tools:
- 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
- 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
- Identify learning gaps, misconceptions, and optimal next steps by querying a knowledge graph with spaced repetition scheduling.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceA demonstration implementation of Model Context Protocol (MCP) using NestJS framework, allowing developers to build MCP-compatible applications with playground testing capabilities.59MIT
- AlicenseNot gradedqualityCmaintenanceA 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.18MIT
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- 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 comprehensive learning and knowledge graph statistics with optional detailed breakdown.MIT
- 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
- Extract an OpenAPI specification directly from framework source code when no spec file exists. Enable linting and diffing by generating the spec from FastAPI routes instead of requiring a checked-in file.MIT
- Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.MIT
- Restart a Node.js server process to apply environment or configuration changes or recover a hung application. Works for server-side apps like Express, Next.js, NestJS; no effect on static front-ends.MIT
- Find entities in the knowledge graph by meaning rather than exact text matching, enabling retrieval of related concepts even without keyword overlap.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
- Generate complete CSVBox importer integration code for your chosen framework (vanilla-js, React, Vue 2/3, Angular). Specify the target framework to receive ready-to-use code with a license key placeholder.MIT
- Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.Business Source 1.1
- Retrieve self-learning reflections from a bot, with optional filtering by status.MIT
- Report awkward, missing, or slow experiences to improve per-agent learning without sharing email content.MIT
- Resolve a learning entry by providing its timestamp. This updates the entry status to resolved in the MnemoQ memory system.AGPL 3.0
- Detect programming language and test framework from source code. Input either raw code or file path.MIT