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Cloudbase Mcp

OrganizationPopular
TencentCloudBase
cloudbase-mcp

CloudBase MCP reference. Use when connecting local or remote MCP, calling tools from the shell with mcporter, reading tool schemas, choosing the domestic or international endpoint, setting site, region, cloud mode, or plugin flags, or contributing a fix to the open-source MCP server, skills, or CLI.

Overview

PublisherTencentCloudBase
RepositoryCloudBase-AI-Toolkit
Skill namecloudbase-mcp
Stars
1.1K
Forks
147
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TencentCloudBase on GitHub. Read the source before you install it.

Installation

Install the Cloudbase Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/.claude/skills/cloudbase-mcp
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git /tmp/CloudBase-AI-Toolkit
mkdir -p .claude/skills
cp -r /tmp/CloudBase-AI-Toolkit/config/.claude/skills/cloudbase-mcp .claude/skills/cloudbase-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudbase Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloudbase Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloudbase Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CloudBase MCP

Open source:

The server source is mcp/ in that repo. The package name is @cloudbase/cloudbase-mcp.

Sibling skills (local only)

Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../cloudbase-cli/SKILL.md.

If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.

  • MCP setup, mcporter commands, and auth examples: ../cloudbase/references/mcp-setup.md
  • CLI fallback when MCP tools are not loaded: ../cloudbase-cli/SKILL.md
  • MCP vs CLI decision tree: ../cloudbase/references/tooling-fallback.md

When to use

  • The user is connecting MCP, or choosing local versus remote.
  • The user or the agent calls CloudBase tools from the shell with mcporter, or needs a tool schema before calling.
  • The user needs the site, region, cloud-mode, or plugin switches that already exist.
  • A bug is in this repo's MCP server, skills, or CLI, and the fix should be a pull request.

Do not use this for

  • Creating or changing cloud resources. Use the matching domain skill, or ../cloudbase-cli/SKILL.md when MCP tools are not loaded.
  • Cloud platform, permission, or account problems that are not code in this repo. Those go to an issue, not a pull request.

Connection

ModeAddress
Remote, domestichttps://tcb-api.cloud.tencent.com/mcp/v1
Remote, internationalhttps://tcb-api.tencentcloud.com/mcp/v1
Localnpx @cloudbase/cloudbase-mcp@latest (Node.js 18.15+)

The hostname decides the site. Remote URLs do not take a site query parameter.

  • Interactive clients: put only the URL in the IDE config. The IDE opens a browser for login. This is the usual path.
  • CI: add env_id and headers X-TencentCloud-SecretId / X-TencentCloud-SecretKey.
  • Local stdio for the international site: TCB_SITE=intl and TCB_REGION=ap-singapore.

Remote mode cannot upload local files or download templates. The international site does not expose NoSQL tools.

Calling tools with mcporter

When this session has no native MCP tools, use mcporter. The command list and the auth examples live in ../cloudbase/references/mcp-setup.md. Read that file before login, environment binding, or manageEnv.

Check whether the server is configured:

bash
npx mcporter list | grep cloudbase

If it is missing, add a stdio server named cloudbase in config/mcporter.json:

json
{
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": ["@cloudbase/cloudbase-mcp@latest"],
      "description": "CloudBase MCP",
      "lifecycle": "keep-alive"
    }
  }
}

Read the schema before the first call. describe without --all-parameters omits parameters.

bash
npx mcporter describe cloudbase --all-parameters
npx mcporter list cloudbase --schema

Call a tool with server.tool and key=value arguments:

bash
npx mcporter call cloudbase.queryEnv action=list --output json

Do not put a Secret ID, Secret Key, or environment ID into mcporter.json. Login stays on cloudbase.auth or tcb login, as written in mcp-setup.md.

Environment

NameEffect
TCB_SITEdomestic or intl. ap-singapore exists on both sites; a domestic Singapore environment must set TCB_SITE=domestic.
TCB_REGIONAPI region, such as ap-shanghai or ap-singapore.
CLOUDBASE_MCP_CLOUD_MODE or MCP_CLOUD_MODEtrue disables local file and process tools for a self-hosted caller.
CLOUDBASE_MCP_PLUGINS_ENABLED / CLOUDBASE_MCP_PLUGINS_DISABLEDComma-separated plugin names for a local server.
enable_plugins / disable_pluginsThe same switch on a remote URL, comma-separated.

Plugin names are the ones in mcp/src/server.ts (env, database, functions, hosting, storage, and the rest). A local server and a hosted remote server enable the same default set; turn one off for a given caller with disable_plugins on the remote URL or CLOUDBASE_MCP_PLUGINS_DISABLED on a local server.

Contributing

Read CONTRIBUTING.md at the repo root. Fork, use a feature branch, and follow the commit types listed there (feat, fix, docs, and the rest). Install with corepack and pnpm install.

  • A bug in MCP, a skill, or the CLI: open a pull request.
  • The cloud platform, a permission, or the account: open an issue. Do not put an environment ID or a secret in the text.
  • prepareFeedback only returns the new-issue page for the current site. Write the text in the chat. The user logs in and submits it.

Frequently asked questions

What does the Cloudbase Mcp AI skill do?

CloudBase MCP reference. Use when connecting local or remote MCP, calling tools from the shell with mcporter, reading tool schemas, choosing the domestic or international endpoint, setting site, region, cloud mode, or plugin flags, or contributing a fix to the open-source MCP server, skills, or CLI.

Why use Cloudbase Mcp on TypingMind?

Because you install it once and use it with any model. Cloudbase Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloudbase Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/.claude/skills/cloudbase-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cloudbase Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloudbase Mcp?

As many as you like. As long as a model supports skills, you can use Cloudbase Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloudbase Mcp AI skill free?

Yes. It is published on GitHub by TencentCloudBase under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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