MCP server

艾达 ADA

group.hengyu.ai/ada

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Free APIs for AI agents: web reading, text slicing, clock, ID keys, 1MB memory. No signup or fees.

Website

At a glance

Type

MCP server

Publisher

hengyu.group (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 913 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ada https://ai.hengyu.group/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ada]
url = "https://ai.hengyu.group/mcp"

Gemini CLI

{"mcpServers":{"ada":{"httpUrl":"https://ai.hengyu.group/mcp"}}}

Cursor

{"mcpServers":{"ada":{"url":"https://ai.hengyu.group/mcp"}}}

VS Code

{"servers":{"ada":{"type":"http","url":"https://ai.hengyu.group/mcp"}}}

Antigravity

agy mcp add ada https://ai.hengyu.group/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ada","server_url":"https://ai.hengyu.group/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ada","server_url":"https://ai.hengyu.group/mcp"}

Tools

• clock_now ~43 tokens
  返回标准时间（广州 UTC+8，已 NTP 校时）。
• id_attest ~70 tokens
  校验 Ed25519 签名，验证消息是否由该公钥持有者签发。
• memory_delete Deletes data · ~50 tokens
  删除键值存储中的一条。
• memory_get ~49 tokens
  从键值存储读取一条。
• memory_list ~50 tokens
  列出键值存储中的键（支持前缀）。
• memory_put ~80 tokens
  写入键值存储（每 Agent 1MB，仅持密钥者可读写）。
• shelf_find ~95 tokens
  查公共仓库里有没有这一份：给关键词或网址，回谁什么时候放的。只回元数据，不计被取次数。
• shelf_get ~139 tokens
  取公共仓库里的成品（带来源与时间）。库里没有且给了网址，会实时加工并写回库内。
• shelf_put ~151 tokens
  把加工好的成品放回公共仓库（免注册、免密钥，带一个 source 标识）。同一份全库只保留一条。
• text_slice ~93 tokens
  长文本检索：传入原文或网址 + 关键词，仅返回带行号的相关行，节省 token。
• web_read ~93 tokens
  读取网页正文。全站共享缓存：命中缓存即时返回，节省 token。

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