MCP.so
Sign In

Assistant MCP Server

@nodlab

Repository

About Assistant MCP Server

MCP server for productive development

Basic information

Category

AI & Agents

License

MIT

Runtime

node

Transports

stdio

Publisher

nodlab

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-assistant-local": {
      "command": "npx",
      "args": [
        "tsx",
        "/path/to/folder/src/index.ts"
      ],
      "env": {
        "TOOLS_PATH": "/path/to/folder/tools.json"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Assistant MCP Server?

An MCP server that provides tools for retrieving project architecture information, searching tasks, and generating optimized prompts for AI models. It is designed for developers working on frontend applications who need to integrate structured project data into AI workflows.

How to use Assistant MCP Server?

Install dependencies with yarn install, then build with yarn build. Add a tools.json file defining the available tools. To run locally, configure an MCP client with the command npx tsx /path/to/src/index.ts and set the TOOLS_PATH environment variable to the path of tools.json.

Key features of Assistant MCP Server

  • Provides three pre‑defined tools: architecture_info, search_tasks, and optimize_prompt.
  • Uses a tools.json configuration file for tool definitions.
  • Supports file‑based plugins (e.g., reading architecture info and tasks from local files).
  • Includes a promptOptimizer plugin for generating final structured AI prompts.
  • Runs locally via npx tsx for easy development and testing.

Use cases of Assistant MCP Server

  • Automatically retrieve frontend project architecture before implementing new tasks.
  • Collect project tasks from a tasks.txt file and guide AI to execute them according to architecture.
  • Generate a final, structured prompt by combining multiple context sections and instructions for an AI model.

FAQ from Assistant MCP Server

What dependencies are required?

The server requires Node.js and TypeScript (via tsx). Dependencies are installed with yarn install.

How do I configure the tools?

Create a tools.json file at the project root with an array of tool objects. Each tool specifies its name, description, input schema, and plugin configuration (e.g., file or promptOptimizer).

Where is the data stored?

Tool data resides in local files as specified in the plugin arguments (e.g., architecture.md and tasks.txt). The server reads these files at runtime.

What transport does Assistant MCP Server use?

The server uses standard MCP stdio transport – it is invoked as a command‑line process via npx tsx.

Is there any authentication or security mechanism?

The README does not mention any authentication. The server runs locally and relies on file‑system access to the configured paths.

Comments

More AI & Agents MCP servers

Model Context Protocol for Unreal Engine

chongdashu

Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

2.0K

MCP-LLM Bridge

patruff

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

976

LinkedIn MCP Server

stickerdaniel

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

2.7K

Hass-MCP

voska

Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.

307

MCP Client for Ollama (ollmcp)

jonigl

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre

768