What are the prerequisites to run the server?
Python 3.x must be installed, and all dependencies listed in `pyproject.toml` need to be resolved.
@BeingSoumyadeepSharma
Basic information
MCP Server for taking notes using an LLM client like Claude Desktop.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-notes-beingsoumyadeepsharma": {
"command": "uv",
"args": [
"run",
"mcp",
"install",
"main.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This is a Python-based implementation of the Model Context Protocol (MCP) designed for taking notes. It enables structured message exchange between clients and servers, supporting features like JSON-formatted messages, concurrent connections, and modular extensibility.
Clone the repository, ensure Python 3.x and the dependencies listed in pyproject.toml, then run uv run mcp install main.py to start the server.
Python 3.x must be installed, and all dependencies listed in `pyproject.toml` need to be resolved.
Run the command `uv run mcp install main.py` in the project directory.
It implements the Model Context Protocol; messages are exchanged in a JSON-based structured format.
Yes, the server supports concurrency and processes requests from multiple clients simultaneously.
Yes, the design is modular and adaptable, allowing integration of new features or use cases.
Memlord is a remote MCP server available at https://app.memlord.com.

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your

One permissioned folder your team and your AI agents both log into.
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