広告掲載
MCP.so
ログイン

FastMCP Boilerplate MCP Server

@rainer85ah

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

rainer85ah

FastMCP Boilerplate MCP Server について

A MCP server built with Python, FastMCP, Ollama, Open-webUI, FastAPI, and Docker following a microservice architecture..

#mcp-server#fastmcp#docker

FastMCP Boilerplate MCP Server の設定

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": {
    "mcp-server-rainer85ah": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "--build",
        "-d"
      ]
    }
  }
}

FastMCP Boilerplate MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 FastMCP Boilerplate?

FastMCP Boilerplate is a modern Model Control Protocol (MCP) project built with Python, FastMCP, FastAPI, Docker, and integrated with Ollama and Open-webUI. It provides a lightweight, extensible foundation for building and deploying AI/LLM systems, targeting developers who need a fast start or production-ready template.

How to use FastMCP Boilerplate?

Clone the repository, then run docker compose up --build -d to start all services. Access Ollama on port 11434, API docs at http://localhost:8000/docs, and Open-webUI on port 3000.

Key features of FastMCP Boilerplate

  • Fast startup with Docker
  • Easy integration with Ollama and Open-webUI
  • Pluggable architecture for adding models and routes
  • Designed for rapid prototyping or production use
  • REST API ready with OpenAPI docs

Use cases of FastMCP Boilerplate

  • Building AI chat platforms
  • Creating model routing gateways
  • Setting up developer LLM sandboxes
  • Developing FastAPI-based ML backends

よくある質問

1

What license does FastMCP Boilerplate use?

It is licensed under the MIT License.

2

What runtime is required?

Python 3.12 or higher is required.

3

How do I access the API documentation?

After starting with Docker, OpenAPI docs are available at `http://localhost:8000/docs` and the OpenAPI spec at `http://localhost:8000/openapi.json`.

4

What is the purpose of this project?

It serves as a boilerplate for building MCP servers, integrating FastMCP, FastAPI, Ollama, and Open-webUI for AI/LLM management and exposure.

コメント

「開発者ツール」の他のコンテンツ

Zyte MCP

Zyte

Zyte MCP is a remote MCP server available at https://mcp.zyte.com/v1/mcp/, that lets an agent use Zyte on your behalf: to get web pages, to extract data from them, to search the web, and to work with your Scrapy Cloud pr

FARPY

mangomunchr

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

1

Casefile

azimov777

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

3

Mcp-Warden

ermoluk

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.

4

Vibgrate MCP

Vibgrate

Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

3
広告掲載