TinyDB Remote MCP

TinyDB Remote MCP

A minimal MCP server that stores JSON documents in TinyDB, exposing tools to insert, retrieve, and delete all data.

Category
访问服务器

README

TinyDB Remote MCP

A small, practical Model Context Protocol (MCP) server that stores data in TinyDB. It is designed as a learning project for people who want to understand how to build an MCP server and connect it to an MCP client.

The detailed, step-by-step project setup and deployment notes are in NOTES.md.

What this MCP does

The server exposes three tools:

  • insert_data — stores one JSON document in TinyDB.
  • get_all_data — returns every stored document.
  • delete_all_data — removes every stored document.

For example, insert_data accepts:

{
  "data": {
    "name": "Aarav Sharma",
    "email": "aarav.sharma@example.com",
    "role": "admin",
    "active": true
  }
}

Run locally

This project uses uv to manage dependencies.

uv sync
uv run python tinydb_remote_server.py

The local Streamable HTTP endpoint is:

http://127.0.0.1:10000/mcp

TinyDB creates db.json at runtime. It is local runtime data and is not intended to be committed to version control.

Use the MCP

MCP Inspector

Start the Inspector locally:

npx @modelcontextprotocol/inspector

Select Streamable HTTP and enter either the local endpoint above or your deployed endpoint:

https://<render-service-name>.onrender.com/mcp

You can also list the tools from the command line:

npx @modelcontextprotocol/inspector --cli https://<render-service-name>.onrender.com/mcp --transport http --method tools/list

OpenAI web app

Enable Developer mode in ChatGPT under Settings > Security and login. Then, from Settings > Plugins (or https://chatgpt.com/plugins), create an app using your deployed MCP URL:

https://<render-service-name>.onrender.com/mcp

After it is created, select the app in a ChatGPT project and ask it to insert or retrieve test records.

Codex, Claude web app, and Claude Code

Add the deployed /mcp URL as a Streamable HTTP MCP server in the client’s MCP or connector settings. Once connected, the client can call insert_data, get_all_data, and delete_all_data.

Deployment and security notes

See NOTES.md for the full Render deployment guide. When creating the Render service, add **/*.md as an Ignored Path under Advanced > Build Filters so Markdown-only changes do not trigger a deployment.

This example server is public and unauthenticated. Use test data only, and do not store credentials, personal information, or other sensitive data. On Render’s Free service, the TinyDB data is ephemeral and may be lost after a restart or redeploy.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选