mcp-multi-note is an open-source MCP server that enables synchronization of notes across platforms like Obsidian, Feishu, OneNote, Yuque, Notion, and Evernote. Below are 15 frameworks & sdks apps with similar functionality to mcp-multi-note, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
note-tool is an open-source MCP server that connects popular note-taking platforms like Obsidian, Notion, Evernote, Feishu, OneNote, and Yuque to AI agents. It enables developers to integrate and synchronize notes across services using a unified protocol, making it easier to build AI-powered workflows for note management.
mnemo-mcp is an open-source MCP server that provides persistent memory and embedded synchronization for AI agents. It is designed for developers building agentic systems requiring long-term memory and context management.
odoo-mcp-multi is an open-source MCP server that connects AI agents and developer tools like Claude, Cursor, and VS Code to multiple Odoo ERP instances. It facilitates agentic workflows and multi-profile management for Odoo developers.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
Synchronize MCP server configurations across 20+ AI agents
oboe-mcp is an open-source MCP server that enables durable, one-by-one review workflows with prioritized session state for coding agents. It is designed for developers building agent-based automation systems.
foldnotes-mcp is an open-source MCP server that exposes the FoldNotes CLI (fn) as tools for use with Claude Desktop, Claude Code, and other Model Context Protocol (MCP) clients. It allows developers to integrate note-taking and related CLI functionality into MCP-compatible environments. The package is MIT licensed and available on PyPI and GitHub.
onb-mcp is an open-source Python package providing an MCP server that wraps the Open Notebook API. It enables developers to integrate and automate notebook workflows using the MCP protocol, facilitating interoperability and automation in data science and research environments.
central-mcp is an open-source Python package that serves as an agent-agnostic MCP hub for managing and orchestrating multiple coding agents. It enables AI developers to coordinate various coding agents using the Model Context Protocol (MCP).
MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
mcp-numpy is an open-source MCP server that exposes NumPy's numerical computing functions through an API, enabling remote structured data processing and integration into distributed systems.
malt-mcp is an open-source Python MCP server that enables freelance platforms to manage user profiles, stats, and missions through AI assistants. It supports the Model Context Protocol and integrates with Anthropic's AI models for automation.
MCP Feedback Ultra is an open source interactive feedback server designed for AI-assisted development. It offers both web and desktop interfaces, enabling developers to collect and manage feedback efficiently during the development process.
