TypeScript MCP with Filesystem Server and Ollama Integration

Name: TypeScript MCP with Filesystem Server and Ollama Integration
Author: ausboss

@ausboss

TypeScript MCP with Filesystem Server and Ollama Integration について

A TypeScript example showcasing the integration of Ollama with the Model Context Protocol (MCP), specifically the Filesystem MCP Server. This project provides an interactive command-line interface for an AI agent that can utilize filesystem tools.

#agent #ollama #ollama-tools #mcp-server #mcp-client #mcp-agent

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

ausboss

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/server-filesystem",
        "./"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is TypeScript MCP with Filesystem Server and Ollama Integration?

This project demonstrates how to interact with a Model Context Protocol (MCP) server using TypeScript, focusing on the Filesystem MCP Server. It provides an example of integrating this setup with Ollama to create an AI agent capable of interacting with your local file system.

How to use TypeScript MCP with Filesystem Server and Ollama Integration?

Install Node.js (≥18), Ollama, and globally install the Filesystem MCP Server. Clone the repository, run npm install, configure mcp-config.json with server and model details, then execute npm run start to start an interactive chat session.

Key features of TypeScript MCP with Filesystem Server and Ollama Integration

MCP client implementation using the official TypeScript SDK.
Filesystem interaction like listing directories and reading files.
Ollama integration for an AI agent with tool calling.
Interactive command‑line chat interface.
Configuration‑driven setup via mcp-config.json.

Use cases of TypeScript MCP with Filesystem Server and Ollama Integration

Exploring directory contents through natural language prompts.
Reading file contents using an AI‑powered agent.
Automating file system tasks with local LLM tool calling.
Prototyping MCP server interactions in a TypeScript project.

FAQ from TypeScript MCP with Filesystem Server and Ollama Integration

What runtime and dependencies are required?

Node.js (version 18 or higher), npm or yarn, and the globally installed package @modelcontextprotocol/server-filesystem are required. Ollama must be installed and running.

How do I configure filesystem access?

Edit the mcp-config.json file; the args field for the filesystem server specifies the root directory the agent can access (e.g., "./"). Adjust this path carefully to limit access.

Does the Ollama model need to support tool calling?

Yes. The specified Ollama model must support the concept of “tools” or “functions” in its API. Models like qwen2.5:latest often have this capability.

How do I run the interactive agent?

Run npm run start or yarn start. This starts the Filesystem MCP Server, connects to it, fetches tools, initializes the Ollama agent, and opens a chat session.

Can I contribute to this project?

Yes. Submit pull requests with improvements or bug fixes. For major changes, open an issue first to discuss the proposed change.

「AI とエージェント」の他のコンテンツ

Intervals.icu MCP Server

mvilanova

Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.

311

1Panel

1Panel-dev

🔥 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support. Run Ollama models, deploy OpenClaw agents, and manage your entire server stack from one clean web interface.

36.1K