"Learning NestJS Framework Knowledge" matching MCP servers:

Provides centralized knowledge management for projects, allowing users to store, search, and maintain project-specific knowledge that persists across sessions.

A task manager MCP server that demonstrates core MCP concepts (resources, tools, prompts, stdio) and syncs data with a Next.js web app.

Manages projects, requirements, and knowledge entries with full-text search via SQLite FTS5. Provides 19 MCP tools for AI assistants to create, update, search, and delete project data.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

A hybrid MCP server that allows users to manage tasks through Claude Desktop or Claude Web using a NestJS API. It provides eight tools for creating, updating, listing, and tracking statistics for personal tasks.

MCP server for the GSD (Get Shit Done) lifecycle framework. Exposes GSD project state, phases, milestones, and commands as MCP tools and resources.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Enables comprehensive TestRail test management integration with support for projects, test cases, runs, results, advanced reporting, analytics, and AutoSpectra test automation framework synchronization.

Enables AI clients to interact with ServiceNow records by exposing ServiceNow API interactions, tools, and context over stdio or HTTP for learning and experimentation.

MCP server for comprehensive YouTrack integration, enabling issue management, work tracking, search, and knowledge base operations.

An AI-friendly JIRA integration server using the Model Context Protocol, providing semantic tools for searching and interacting with JIRA issues without requiring JQL knowledge.

Transforms Claude into an autonomous development team with architect, agent, and QA roles, enabling automated sprint execution, task management, and continuous learning.

Enables interaction with the Doorstop requirements management framework, allowing users to create, edit, link, and review requirement items and documents through natural language commands.

Provides MCP tools to manage a local-first Kanban board, including projects, issues, dependencies, and labels. Enables AI clients to interact with the board via a stdio MCP server connected to a NestJS API.

Enables AI agents and automation tools to manage TODO tasks through full CRUD operations. Built with NestJS and supports both SSE and Stdio transports for seamless integration with Claude Desktop, ChatGPT, and n8n.

A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.

End-to-end agent-managed company brain. Humans and any MCP agent co-author living docs (Markdown + extensions), 40+ visual diagrams (Mermaid, BPMN, D2, PlantUML, ELK, Excalidraw), plans, and a self-learning Knowledge Graph. 163 tools across 16 categories. Auth: OAuth 2.1 or API key. Lean, secure, affordable — from individuals to enterprise.

A Model Context Protocol server that enables Language Learning Models to interact with FogBugz, allowing operations like creating and updating issues, assigning cases, listing open cases, and searching through natural language.

Enables hands-on learning of Model Context Protocol through a task-board server that exposes tools, resources, and prompts over stdio, plus a terminal host that connects to local Ollama models.

A simple MCP server for managing a todo list — add tasks, list tasks, and mark tasks complete. Built with the Python MCP SDK (FastMCP) as a hands-on learning project.