"A server for taking or managing notes" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A Model Context Protocol (MCP) server for developer note-taking, allowing users to create, manage, and export development notes with tags, status, and priority.

Enables creating, managing, and searching Markdown notes with support for tags, timestamps, and full-text search. Includes AI prompts for analyzing and summarizing notes.

Note-taking MCP server for AI agents with tags and full-text search. Reads are free, writes require Veyra commit mode.

Enables structured note-taking with markdown support, dynamic tagging system, advanced search capabilities, and markdown export functionality through natural language conversations in Claude Desktop.

Answers upgrade questions from a package's own changelog, listing breaking changes, deprecations, security fixes, and raised requirements between two versions, retrieving notes for a single version, and searching changelog entries for specific APIs or options.

Manages continuation notes for projects, enabling session handoff and historical browsing through a two-location storage system.

Enables note management (create, read, update, delete, list) through MCP, with advanced features including real-time WebSocket communication, performance optimization, security, and monitoring.

A Model Context Protocol server that provides Claude with access to search, retrieve, and analyze notes from the Bear App through natural language queries.

A deliberately insecure note management server designed to test security scanners and train developers by demonstrating common MCP vulnerabilities. It provides tools for creating, searching, and exporting notes while featuring intentional flaws like prompt injection and data leakage.

Generates comprehensive and formatted release notes from GitHub repositories, efficiently organizing commits by type and including detailed statistics using smart API usage.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

A knowledge base MCP server that enables AI agents to search and reference structured business book notes stored as YAML files. It provides seven tools for accessing book information, highlights, concepts, and connections without relying on LLM APIs.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

A simple note-taking MCP server for recording and managing notes with AI models.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

A TypeScript-based MCP server that enables AI assistants to create, search, list, and delete notes with tags. Serves as a starter template for building custom MCP servers with tools and resources.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.