$ loading_
Read, create, and analyze local tasks through a simple MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "task-mcp-node" yet — see the docs or source repo.
Read the current local task list and list each task name grouped by status.
Returns the local task list with task names organized by status.
Create a new task in the local task list: name it "Prepare release notes" and set the status to "todo."
Adds the task to the list and returns the creation result or updated list.
Analyze the local task list, count tasks by status, and identify the most common status.
Outputs counts by task status and a brief analysis of the current distribution.
Developers can use it to demonstrate how an MCP server exposes resources, tools, and prompts. The local task list makes it easy to show task reading, creation, and analysis workflows.
Without connecting to a complex backend, users can test MCP client interactions and tool calls against local task data. It is suitable for validating basic workflows.
When users need to quickly read or add tasks, this tool can operate directly on a local task list. It can also perform simple analysis to show the current task distribution.
This is a simple MCP server example that uses a local task list to demonstrate resources, tools, and prompts. It supports reading, creating, and analyzing tasks through MCP.
Based on the provided description, it works with a local task list and does not mention any external task system integration. For implementation details, see the source repository.
It is especially suitable for developers who want to learn or demonstrate MCP tool capabilities, and for anyone validating interaction flows with simple task data. For installation and runtime steps, see the source repository.
A simple MCP tool to read, create, and analyze tasks locally.
Manage tasks, read summaries, and run planning or review prompts via natural language.
Manage documents and task status with natural-language search and creation tools.
Create and list tasks quickly through a task REST API.
Demo MCP server for calculations, time checks, notes, and code review prompts.
Give AI agents MCP tools for task management and document retrieval.