backlog-mcp-server
by n0r1h
backlog-mcp-server is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing resources representing text notes, tools for creating new notes, and prompts for generating summaries of notes.
Last updated: N/A
What is backlog-mcp-server?
This is a Model Context Protocol (MCP) server that provides a simple notes system. It allows users to create, store, and summarize text notes using the MCP framework.
How to use backlog-mcp-server?
To use this server, you need to install it and configure it with a client like Claude Desktop. After installation, you can create notes using the create_note
tool and generate summaries using the summarize_notes
prompt. Refer to the README for installation and debugging instructions.
Key features of backlog-mcp-server
List and access notes via
note://
URIsCreate new text notes using the
create_note
toolGenerate summaries of all stored notes using the
summarize_notes
promptPlain text mime type for simple content access
Use cases of backlog-mcp-server
Integrating a note-taking system with LLM-powered applications
Providing context to LLMs through structured notes
Building tools that can summarize and analyze collections of notes
Demonstrating the capabilities of the Model Context Protocol
FAQ from backlog-mcp-server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for providing context to language models.
How do I install this server?
How do I install this server?
Follow the installation instructions in the README, which involve copying the server config to the Claude Desktop configuration file.
How do I create a note?
How do I create a note?
Use the create_note
tool, providing a title and content as parameters.
How do I generate a summary of notes?
How do I generate a summary of notes?
Use the summarize_notes
prompt. It will include all note contents as embedded resources.
How do I debug this server?
How do I debug this server?
Use the MCP Inspector, which can be launched using npm run inspector
.