backlog-mcp-server MCP Server
@n0r1h
关于 backlog-mcp-server MCP Server
暂无概览
基本信息
配置
工具
1Create new text notes
概览
What is backlog-mcp-server?
backlog-mcp-server is a TypeScript-based Model Context Protocol (MCP) server that implements a simple notes system. It demonstrates core MCP concepts by providing resources (text notes), tools (creating notes), and prompts (summarizing notes). It is intended for developers learning MCP or for use with MCP clients like Claude Desktop.
How to use backlog-mcp-server?
Install dependencies with npm install, build with npm run build, then add the server configuration to your Claude Desktop config file (claude_desktop_config.json) pointing to the built index.js. For debugging, run npm run inspector to use the MCP Inspector.
Key features of backlog-mcp-server
- List and access notes via
note://URIs - Each note has a title, content, and metadata
create_notetool to create new text notessummarize_notesprompt for LLM summarization- Stores notes in server state (in‑memory)
Use cases of backlog-mcp-server
- Creating and managing simple text notes through MCP
- Using notes as context for LLM summarization
- Demonstrating core MCP concepts for learning or prototyping
- Integrating a lightweight note system with AI assistants like Claude Desktop
FAQ from backlog-mcp-server
What resources does backlog-mcp-server expose?
It exposes text notes as resources with note:// URIs, each containing a title, content, and metadata.
What tools are available?
The server provides one tool: create_note, which takes a title and content as required parameters.
How do I install backlog-mcp-server for Claude Desktop?
Add a configuration entry under mcpServers in your Claude Desktop config file, specifying the path to the built index.js as the command.
What transport does the server use?
The server communicates over stdio (standard input/output), as is typical for MCP servers.
What are the runtime dependencies?
The server is built with TypeScript and requires Node.js and npm. Dependencies are installed via npm install.
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