What dependencies does notes-mcp-server require?
Python with the `uv` package manager, MCP server dependencies, and Apache Ignite.
@coilybits
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"notes-mcp-server": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"\\"
]
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
notes-mcp-server is a Model Context Protocol (MCP) server that provides AI assistants with a secure and structured way to perform CRUD operations on simple notes. Notes are persisted using Apache Ignite.
Install prerequisites (Python with uv, MCP dependencies, Apache Ignite), then clone the repo and run the server using uv run main.py. Pass --host and --port to configure the database connection. Example usage for Claude Desktop and Continue.dev is provided in the README.
list_resources, read_resource, list_tools, call_tool, list_prompts, get_promptPython with the `uv` package manager, MCP server dependencies, and Apache Ignite.
Pass the `--host` and `--port` arguments when running the server, e.g., `--host=127.0.0.1 --port=10800`.
Yes. Add a configuration entry to Claude’s MCP settings file using the `uv` command as shown in the README.
MIT License – see the LICENSE file in the repository.
Notes are persisted in an Apache Ignite database. The server connects to an Ignite instance via the configured host and port.

MCP connector for Snipara, the Project Brain for AI coding agents

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

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

Ask your Takibi Base collections anything; get answers with cited passages and a support score.
Groundwork: company memory for your AI tools. Docs public. Source closed. Public proof needs no account.
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