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TencentCloudBase

Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.

PublisherTencentCloudBase
RepositoryCloudBase-AI-Toolkit
LanguageTypeScript
Forks
143
Stars
1.1K
Available tools
38
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Tencent CloudBase exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 38 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    1.1K stars and 143 forks from the linked repository.

CloudBase AI Toolkit

AI writes the code. CloudBase runs the backend.

The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.

English · 简体中文 · Docs · Changelog · Issues

Recent updates

v2.34.x (2026-09)

  • i18n / IDE: full tool-copy localization with an instance-level lang, plus auth site / region params so international-site login and region routing resolve correctly
  • Cloud API: callCloudApi service allowlist widened to 57 with built-in version mapping (multi-version services such as tke / mongodb / vod require an explicit version)
  • Deploy / Env: new appBuild tool with hosting build neutralization; queryEnv reports the region actually applied and domains honors a passed envId
  • Skills / Docs: skill fallback reads now point at the official distribution repo with a references address list; SDK-first database decision gate for cloudrun; site doc links moved to the current Markdown addresses; post-deployment share offered after delivery in the expert packs and the deploy skills (opt-in, redacted, at most once)
  • Deploy / Apps: the cloud upload channel now completes end to end (deployApp accepts the timestamp getUploadUrl returns, getBuildLog accepts the build ID a deploy returns), and gateway route creation verifies the upstream exists before writing
  • Skills / Context: new PostgreSQL access-pattern best-practices skill (batching, indexes, RLS role gating, launch capacity); searchKnowledgeBase's inline skill / OpenAPI catalogs now load on demand, cutting the 43-tool surface by 9.1% on every tools/list
  • Runtime / Hosting: CloudRun Function mode must not bind PORT (the function framework does) and gets a credential decision gate naming CLOUDBASE_APIKEY; hosting paths and prefixes are normalized so a leading slash can no longer read as an empty directory
  • Connectors: the international-site WorkBuddy connector (cloudbase-intl) is built from the same config/source/** corpus as the domestic one — remote streamableHttp with standard MCP OAuth instead of local stdio, with China-site hosts rewritten to their international equivalents

v2.33.x (2026-09)

  • Functions / Apps: custom container-image deploy for cloud functions with async status query; cloud upload channel (getUploadUrl + deployApp cosTimestamp)
  • Env binding: cloudbaserc.json as field-level fallback for envId / region / site (literal + {{env.KEY}})
  • Errors / Skills: centralized error guidance by structured Code; virtual-pay reference; CodeBuddy IDE MCP upgrade skill; WorkBuddy experts
  • Cloud API / Deploy: callCloudApi opens monitor & postgres services; declarative deploy with deployPlan / deployApply; cloud-api-operations skill

Releases · Star · Watch → Releases

What it is

AI IDEs (Cursor, Claude Code, Codex, CodeBuddy, and others) are strong at generating code. What usually blocks you is the backend: schemas, permissions, functions, storage, environments, and release.

CloudBase is Tencent Cloud’s AI-native all-in-one backend (database, storage, auth, cloud functions, Cloud Run, and more). This repo is the Toolkit that connects that backend to AI tools:

PieceRole
PluginInstalls MCP Server, Agent Skills, and Hooks together—less per-IDE wiring
Agent SkillsScenario skills (Web / Mini Program / database / auth / functions, etc.) toward workable CloudBase practice
MCPLogin, query and change data, manage functions and hosting, read logs—from the conversation

This repository ships the npm package @cloudbase/cloudbase-mcp, Skills, and AI plugins.

You still need your own CloudBase environment, and you should confirm sensitive actions the AI proposes. The Toolkit provides capability and path—not judgment.

Related repositories

Publishing and sync repos live under TencentCloudBase. Directly related to this Toolkit:

RepositoryContentsTypical entry
CloudBase-AI-Toolkit (this repo)MCP Server source; marketplace source for Claude Code / Codexnpx @cloudbase/cloudbase-mcp@latest
dsh-pluginDeepSeek Harness plugin (@cloudbase/dsh-plugin): MCP bridge + DB/Storage/Auth paneldsh plugin add @cloudbase/dsh-plugin
cloudbase-pluginOpen Plugin Spec publish repo (CI-synced): MCP + Skills + Hooksnpx plugins add TencentCloudBase/cloudbase-plugin · CNB fallback: npx plugins add https://cnb.cool/tencent/cloud/cloudbase/cloudbase-plugin.git
cloudbase-sites-pluginSites plugin: Vite Web create & deploynpx plugins add TencentCloudBase/cloudbase-sites-plugin · CNB: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-sites-plugin.git
cloudbase-skillsAgent Skills collectionnpx skills add TencentCloudBase/cloudbase-skills · CNB: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills.git
skillsPer-skill install catalog (also on skills.sh)npx skills add tencentcloudbase/skills --skill <name>
awesome-cloudbase-examplesCloudBase examples and case studiesBrowse / clone examples
OpenVibeCodingVibecoding template on CloudBaseUse as a project starter

Prefer Plugin for the full stack; Skills alone when you only need knowledge constraints. For marketplace IDEs use this repo—do not also run npx plugins add on the same tool.

Quick start

Fastest way to get started

Copy this AI prompt into your AI IDE. The agent reads skill.md and completes the setup:

Set up CloudBase for me:
1. Open https://docs.cloudbase.net/skill.md and complete the setup following its instructions.
2. Tell me when you're done, and suggest the most relevant next step.
Your toolSuggested path
Claude Code / Codex (native marketplace)Add this repo as marketplace, then install the cloudbase plugin (plugin docs)
Open Plugin Spec toolsnpx plugins add TencentCloudBase/cloudbase-plugin
Prefer one CLI for many toolsCloudBase AI CLI: npm i -g @cloudbase/cli && tcb ai
CodeBuddy / WorkBuddy / ZCode / Kimi (built-in)Use the IDE's built-in CloudBase plugin or connector; for CodeBuddy you can also install via plugin marketplace
Other MCP-capable IDEsMCP config only (below)

Plugin

bash
npx plugins add TencentCloudBase/cloudbase-plugin

Details and IDE differences: AI plugin docs.

MCP only

json
{
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": ["@cloudbase/cloudbase-mcp@latest"]
    }
  }
}

Remote HTTP, self-hosted Cloud Mode, and plugin scoping: Install & connect.

First prompts

Login to CloudBase
Use CloudBase Skills to build a todo app with login, database and permissions, then deploy

Skills shape structure and practice; MCP handles environment and resources. You should be able to verify data and APIs in your own environment—not only get local source files.

Supported AI IDEs

ToolPlatformGuide
CloudBase AI CLICLIGuide
OpenClawCLIGuide
WorkBuddyStandalone IDEGuide
ZCodeStandalone IDE (≥ 3.4.1 built-in)Guide
Kimi CodeCLI (plugin marketplace)Guide
Kimi WorkDesktop app (plugin panel)Guide
Codex AppAppGuide
CursorStandalone IDEGuide
WindSurfIDE / pluginsGuide
CodeBuddyStandalone IDE (built-in)Guide
CLINEVS Code pluginGuide
GitHub CopilotVS Code pluginGuide
TraeStandalone IDEGuide
Tongyi LingmaIDE / pluginsGuide
RooCodeVS Code pluginGuide
Baidu ComatePluginsGuide
Augment CodePluginsGuide
Claude CodeCLIGuide
Gemini CLICLIGuide
Codex CLICLIGuide
OpenCodeCLIGuide
Qwen CodeCLIGuide

Full setup: IDE guides.

Capabilities

After setup, the AI can do typical backend work in your environment (confirm critical steps):

  • Database: PostgreSQL and document DB, data models, CRUD, permissions and security rules
  • Compute: author, deploy, invoke, and debug cloud functions / Cloud Run
  • Auth & storage: login methods, object storage, permission linkage with data
  • Release & ops: static hosting / Mini Program publish; inspect logs and redeploy

Fits Web, WeChat Mini Programs, and backend services. Platform overview: CloudBase docs.

Evaluation

Under controlled conditions, the same Todo application brief and frontend scaffold were used to compare two backend paths: a traditional cloud VM (self-managed runtime, process, and network exposure) and CloudBase (managed database, anonymous auth, and related backend services). An AI agent performed end-to-end development and verification. Given the model and task setup, the CloudBase path was more favorable in completion latency, token usage, and tool-call count. These outcomes are conditioned on the model, agent framework, and task definition, and should not be generalized beyond that scope.

Methods, data, and limits: Same-task evaluation: cloud VM vs CloudBase

Install & connect

Prerequisites

Setup options

  1. Plugin (when the tool supports it)
    npx plugins add TencentCloudBase/cloudbase-plugin
  2. CloudBase AI CLI
    npm i -g @cloudbase/cli && tcb ai
  3. Manual MCP (write the IDE config file)
json
{
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": ["@cloudbase/cloudbase-mcp@latest"]
    }
  }
}
json
{
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": ["@cloudbase/cloudbase-mcp@latest"]
    }
  }
}

CloudBase is built in (MCP / Skills); manual config is usually unnecessary.

You can also install via the plugin marketplace: see the CodeBuddy setup guide.

Others: IDE setup guide.

MCP connection modes

Remote (recommended): your IDE connects over HTTP to Tencent Cloud MCP. No local Node, and interactive clients finish authorization in the browser.

SiteMCP endpoint
China (domestic)https://tcb-api.cloud.tencent.com/mcp/v1
Internationalhttps://tcb-api.tencentcloud.com/mcp/v1

Pick the endpoint matching the site your environment lives in—the two sites use separate accounts, consoles, and credentials.

Local: runs npx @cloudbase/cloudbase-mcp@latest on your machine—full features, including local filesystem upload and template download.

json
{
  "mcpServers": {
    "cloudbase": {
      "type": "http",
      "url": "https://tcb-api.cloud.tencent.com/mcp/v1?env_id=<env_id>",
      "headers": {
        "X-TencentCloud-SecretId": "<Tencent Cloud Secret ID>",
        "X-TencentCloud-SecretKey": "<Tencent Cloud Secret Key>"
      }
    }
  }
}

Remote auth takes one of two paths:

  • OAuth (interactive, recommended): add the URL only. Your IDE opens the browser for login and consent—no keys in config files.
  • Static credentials (CI/CD): add env_id with the X-TencentCloud-* headers above.

Remote trade-off: local-filesystem features (upload, template download) are unavailable, and the international site does not yet expose NoSQL tools.

Remote URLs also accept site (domestic / intl, only needed for a China-site environment in ap-singapore, where the region is ambiguous), plus enable_plugins / disable_plugins to trim tools. Canonical names live in mcp/src/server.ts.

Remote MCP E2E (official SDK client): npm run test:hosted-mcp:e2e — see tests/hosted-mcp-e2e/README.md for apikey/OAuth modes, TLS-insecure staging, and env vars. Missing credentials skip (exit 0).

Self-hosted Cloud Mode: set CLOUDBASE_MCP_CLOUD_MODE=true (or MCP_CLOUD_MODE=true) so local file and process tools are disabled for remote callers.

ScenarioSuggestion
Personal / fastest startRemote URL (OAuth)
Need local file featuresLocal npx
CI / automationRemote + static credentials
Self-hosted MCPCloud Mode required

Example

Online Gomoku: describe the need; get Web + cloud database / realtime and deploy.
Demo: Gomoku · More: tutorials

Docs

FAQ

Those focus on shipping frontends or containers. CloudBase provides backend building blocks (database, auth, functions). The Toolkit lets AI tools use them in chat. Deploy is only part of the path.

Yes. Any tool that can configure an MCP Server or install the matching Plugin / Skills works—including Claude Code, Gemini CLI, OpenCode. Support list

Deploy targets your own CloudBase environment. In local mode MCP runs on your machine; code need not leave until you deploy. Cloud traffic uses HTTPS.

Local npx is equivalent to running tools yourself. For remote hosts, set CLOUDBASE_MCP_CLOUD_MODE=true to disable local file/process tools. Tencent Cloud remote HTTP includes this protection.

The Toolkit (including MCP) is open source under MIT. CloudBase has free quotas; usage beyond that is billed—see billing.

Confirm an environment exists and is healthy in the console, then login again and pick the right one.

Both the domestic site (cloud.tencent.com) and the international site (tencentcloud.com) offer the ap-singapore region, so region alone is ambiguous. Without an explicit site, MCP defaults to intl for ap-singapore (backward compatible). Domestic-site Singapore users must set TCB_SITE=domestic (together with TCB_REGION=ap-singapore) in the MCP env, or add a .cloudbase/project.json at the project root:

json
{ "site": "domestic", "region": "ap-singapore", "envId": "your-env-id" }

Credentials are stored per site (credential.domestic / credential.intl) so domestic and international logins can coexist; legacy single-slot auth.json is read as domestic and migrated on first write.

Remote mode: nothing extra to pass — the endpoint host decides the site (tcb-api.cloud.tencent.com = China site, tcb-api.tencentcloud.com = international site), and there is no site query parameter. This also covers a China-site environment located in ap-singapore: keep using the China-site endpoint.

Community

Activity

Repo Activity

Contributors

Contributors


MIT · TencentCloudBase

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "cloudbase-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cloudbase/cloudbase-mcp@latest"
      ]
    }
  }
}

Available Tools

  • login

    登录云开发环境,在生成包含云开发 CloudBase 相关功能前必须先调用此工具进行登录。登录云开发环境并选择要使用的环境。

  • logout

    退出云开发环境

  • envQuery

    查询云开发环境相关信息,支持查询环境列表、当前环境信息、安全域名和静态网站托管配置。(原工具名:listEnvs/getEnvInfo/getEnvAuthDomains/getWebsiteConfig,为兼容旧AI规则可继续使用这些名称)

  • envDomainManagement

    管理云开发环境的安全域名,支持添加和删除操作。(原工具名:createEnvDomain/deleteEnvDomain,为兼容旧AI规则可继续使用这些名称)

  • readNoSqlDatabaseStructure

    读取 NoSQL 数据库结构

  • writeNoSqlDatabaseStructure

    修改 NoSQL 数据库结构

  • readNoSqlDatabaseContent

    查询并获取 NoSQL 数据库数据记录

  • writeNoSqlDatabaseContent

    修改 NoSQL 数据库数据记录

  • executeReadOnlySQL

    Execute a read-only SQL query on the SQL database. Note: For per-user ACL, each table should contain a fixed _openid column defined as _openid VARCHAR(64) DEFAULT '' NOT NULL that represents the user and is used for access control.

  • executeWriteSQL

    Execute a write SQL statement on the SQL database (INSERT, UPDATE, DELETE, etc.). Whenever you create a new table, you must include a fixed _openid column defined as _openid VARCHAR(64) DEFAULT '' NOT NULL that represents the user and is used for access control.

  • manageDataModel

    数据模型查询工具,支持查询和列表数据模型(只读操作)。list操作返回基础信息(不含Schema),get操作返回详细信息(含简化的Schema,包括字段列表、格式、关联关系等),docs操作生成SDK使用文档

  • modifyDataModel

    基于Mermaid classDiagram创建或更新数据模型。支持创建新模型和更新现有模型结构。内置异步任务监控,自动轮询直至完成或超时。

  • getFunctionList

    获取云函数列表或单个函数详情,通过 action 参数区分操作类型

  • createFunction

    创建云函数

  • updateFunctionCode

    更新已存在函数的代码。注意:此工具仅用于更新代码,不支持修改函数配置(如 runtime)。如果需要修改 runtime,需要删除函数后使用 createFunction 重新创建。

  • updateFunctionConfig

    更新云函数配置

  • invokeFunction

    调用云函数

  • getFunctionLogs

    获取云函数日志基础信息(LogList),如需日志详情请用 RequestId 调用 getFunctionLogDetail 工具。此接口基于 manger-node 4.4.0+ 的 getFunctionLogsV2 实现,不返回具体日志内容。参数 offset+limit 不得大于 10000,startTime/endTime 间隔不得超过一天。

  • getFunctionLogDetail

    根据 getFunctionLogs 返回的 RequestId 查询日志详情。参数 startTime、endTime、requestId,返回日志内容(LogJson 等)。仅支持 manger-node 4.4.0+。

  • manageFunctionTriggers

    创建或删除云函数触发器,通过 action 参数区分操作类型

  • uploadFiles

    上传文件到静态网站托管

  • deleteFiles

    删除静态网站托管的文件或文件夹

  • findFiles

    搜索静态网站托管的文件

  • domainManagement

    统一的域名管理工具,支持绑定、解绑、查询和修改域名配置

  • queryStorage

    查询云存储信息,支持列出目录文件、获取文件信息、获取临时下载链接等只读操作。返回的文件信息包括文件名、大小、修改时间、下载链接等。

  • manageStorage

    管理云存储文件,支持上传文件/目录、下载文件/目录、删除文件/目录等操作。删除操作需要设置force=true进行确认,防止误删除重要文件。

  • downloadTemplate

    自动下载并部署CloudBase项目模板。⚠️ MANDATORY FOR NEW PROJECTS ⚠️

    CRITICAL: This tool MUST be called FIRST when starting a new project.

    支持的模板:

    • react: React + CloudBase 全栈应用模板
    • vue: Vue + CloudBase 全栈应用模板
    • miniprogram: 微信小程序 + 云开发模板
    • uniapp: UniApp + CloudBase 跨端应用模板
    • rules: 只包含AI编辑器配置文件(包含Cursor、WindSurf、CodeBuddy等所有主流编辑器配置),适合在已有项目中补充AI编辑器配置

    支持的IDE类型:

    • all: 下载所有IDE配置(默认)
    • cursor: Cursor AI编辑器
    • windsurf: WindSurf AI编辑器
    • codebuddy: CodeBuddy AI编辑器
    • claude-code: Claude Code AI编辑器
    • cline: Cline AI编辑器
    • gemini-cli: Gemini CLI
    • opencode: OpenCode AI编辑器
    • qwen-code: 通义灵码
    • baidu-comate: 百度Comate
    • openai-codex-cli: OpenAI Codex CLI
    • augment-code: Augment Code
    • github-copilot: GitHub Copilot
    • roocode: RooCode AI编辑器
    • tongyi-lingma: 通义灵码
    • trae: Trae AI编辑器
    • qoder: Qoder AI编辑器
    • antigravity: Google Antigravity AI编辑器
    • vscode: Visual Studio Code
    • kiro: Kiro AI编辑器
    • aider: Aider AI编辑器

    特别说明:

    • rules 模板会自动包含当前 mcp 版本号信息(版本号:2.7.3),便于后续维护和版本追踪
    • 下载 rules 模板时,如果项目中已存在 README.md 文件
  • interactiveDialog

    统一的交互式对话工具,支持需求澄清和任务确认,当需要和用户确认下一步的操作的时候,可以调用这个工具的clarify,如果有敏感的操作,需要用户确认,可以调用这个工具的confirm

  • searchWeb

    使用联网来进行信息检索,如查询最新的新闻、文章、股价、天气等。支持自然语言查询,也可以直接输入网址获取网页内容

  • searchKnowledgeBase

    云开发知识库智能检索工具,支持向量查询 (vector)、固定文档 (doc) 和 OpenAPI 文档 (openapi) 查询。

      强烈推荐始终优先使用固定文档 (doc) 或 OpenAPI 文档 (openapi) 模式进行检索,仅当固定文档无法覆盖你的问题时,再使用向量查询 (vector) 模式。
    
      固定文档 (doc) 查询当前支持 19 个固定文档,分别是:
      文档名:auth-http-api 文档介绍:Use when you need to implement CloudBase Auth v2 over raw HTTP endpoints (login/signup, tokens, user operations) from backends or scripts that are not using the Web or Node SDKs.
    

    文档名:auth-nodejs 文档介绍:Complete guide for CloudBase Auth using the CloudBase Node SDK – caller identity, user lookup, custom login tickets, and server-side best practices. 文档名:auth-tool 文档介绍:Use CloudBase Auth tool to configure and manage authentication providers for web applications - enable/disable login methods (SMS, Email, WeChat Open Platform, Google, Anonymous, Username/password, OAuth, SAML, CAS, Dingding, etc.) and configure provider settings via MCP tools. 文档名:auth-web 文档介绍:Complete guide for CloudBase Auth v2 using Web SDK (@cloudbase/js-sdk@2.x) - all login flows, user manage

  • queryCloudRun

    查询云托管服务信息,支持获取服务列表、查询服务详情和获取可用模板列表。返回的服务信息包括服务名称、状态、访问类型、配置详情等。

  • manageCloudRun

    管理云托管服务,按开发顺序支持:初始化项目(可从模板开始,模板列表可通过 queryCloudRun 查询)、下载服务代码、本地运行(仅函数型服务)、部署代码、删除服务。部署可配置CPU、内存、实例数、访问类型等参数。删除操作需要确认,建议设置force=true。

  • createFunctionHTTPAccess

    创建云函数的 HTTP 访问

  • downloadRemoteFile

    下载远程文件到项目根目录下的指定相对路径。例如:小程序的 Tabbar 等素材图片,必须使用 png 格式,可以从 Unsplash、wikimedia【一般选用 500 大小即可、Pexels、Apple 官方 UI 等资源中选择来下载。

  • readSecurityRule

    读取指定资源(noSQL 数据库、SQL 数据库、云函数、存储桶)的安全规则和权限类别。

  • writeSecurityRule

    设置指定资源(数据库集合、云函数、存储桶)的安全规则。

  • activateInviteCode

    云开发 AI编程激励计划,通过邀请码激活用户激励。

  • callCloudApi

    通用的云 API 调用工具,使用前请务必先阅读相关rules或skills,确认所需服务、Action 与 Param 的正确性和安全性

Use Tencent CloudBase MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Tencent CloudBase is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Tencent CloudBase as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Tencent CloudBase MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "tencent-cloudbase": {
      "command": "npx",
      "args": [
        "-y",
        "@cloudbase/cloudbase-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Tencent CloudBase MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Tencent CloudBase MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Tencent CloudBase to help me with this task?
Tencent CloudBase
Sure. I read it.
Here is what I found using Tencent CloudBase.

Frequently asked questions

What is the Tencent CloudBase MCP server used for?

Tencent CloudBase is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Tencent CloudBase MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Tencent CloudBase with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Tencent CloudBase MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Tencent CloudBase connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Tencent CloudBase MCP to TypingMind?

Tencent CloudBase runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Tencent CloudBase MCP provide in TypingMind?

Tencent CloudBase exposes 38 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Tencent CloudBase MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Tencent CloudBase requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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