zoom-mcp

zoom-mcp

Enables interaction with Zoom APIs through MCP, supporting multi-user OAuth token management, read-only and admin-gated mutation tools, schema discovery, and query suggestions for LLM workflows.

Category
访问服务器

README

zoom-mcp

Zoom MCP server built from the skeleton pattern with:

  • Multi-user token management.
  • Vault as the persistent secret store.
  • Postgres as the persistent configuration store.
  • Admin-gated mutation tools through MCP_ADMIN_AUTH_KEY.
  • Dedicated Zoom tools plus generic full-coverage API execution.
  • Query suggestion and schema discovery tooling for LLM workflows.

Architecture

Runtime components:

  1. src/index.js: Starts stdio MCP transport.
  2. src/http/index.js: Starts HTTP MCP transport with auth/rate controls.
  3. src/bootstrap/runtime.js: Creates shared runtime dependencies.
  4. src/services/vault.js: Persistent secret access in Vault.
  5. src/services/configStore.js: Persistent config access in Postgres.
  6. src/services/zoomTokenStore.js: User token + OAuth client persistence.
  7. src/services/targetService.js: Zoom API and OAuth token refresh client.
  8. src/mcp/server.js: MCP tool registration and auth gate enforcement.
  9. src/config/zoomApiCatalog.js: Endpoint catalog for discovery/suggestions.

Core Guarantees

  • Secrets are persisted in Vault, including user access/refresh tokens and OAuth client credentials.
  • Configuration is persisted in Postgres, including non-secret token metadata and arbitrary user-scoped config keys.
  • All user token operations are multi-user and scoped by userId.
  • Mutating tools require authorizationKey when MCP_ADMIN_AUTH_KEY is configured.
  • Full Zoom API coverage is available through zoom_api_request.

Tool Catalog

All tools return MCP text content with JSON:

{
  "ok": true,
  "status": 200,
  "data": {}
}

Error shape (isError=true):

{
  "ok": false,
  "status": 401,
  "error": "Unauthorized: invalid authorizationKey for mutating operation"
}

Read-only tools

  • zoom_connection_info
  • zoom_scope_info
  • zoom_schema_discovery
  • zoom_query_suggestion
  • zoom_token_get_metadata
  • zoom_oauth_client_get_metadata
  • zoom_production_auth_env_readiness
  • zoom_config_get
  • zoom_config_list
  • zoom_users_list
  • zoom_user_get
  • zoom_meetings_list
  • zoom_meeting_get
  • zoom_meeting_notes_get
  • zoom_webinars_list
  • zoom_recordings_list
  • zoom_report_user_meetings
  • zoom_phone_users_list
  • zoom_phone_call_logs_list
  • zoom_chat_channels_list
  • zoom_chat_messages_list
  • zoom_rooms_list
  • zoom_room_get

Mutating tools (admin-gated when MCP_ADMIN_AUTH_KEY is set)

  • zoom_token_upsert
  • zoom_token_delete
  • zoom_oauth_client_upsert
  • zoom_seed_initial_oauth_vault_state
  • zoom_production_auth_env_upsert
  • zoom_bootstrap_production_auth
  • zoom_token_refresh
  • zoom_config_set
  • zoom_config_delete
  • zoom_meeting_create
  • zoom_meeting_update
  • zoom_meeting_delete
  • zoom_webinar_create
  • zoom_webinar_delete
  • zoom_chat_channel_create
  • zoom_api_request for POST|PUT|PATCH|DELETE

Tool Definition Quality Fields

zoom_query_suggestion returns toolSchemas with enriched metadata for each tool including:

  • When the tool should and should not be used.
  • Read-only, mutating, or high-risk classification.
  • Required permissions and prerequisites.
  • Environment-selection behavior.
  • Parameter formats and constraints.
  • Expected response shape.
  • Common failure conditions.
  • Recommended prerequisite and follow-up tools.
  • Safety warnings for destructive operations.
  • Short valid invocation examples.

Query Suggestion and Schema Discovery

Use these first in LLM workflows:

  • zoom_query_suggestion: recommends tool execution order and safety checks.
  • zoom_schema_discovery: searches endpoint catalog by category/method/path/text.

The catalog is broad and the fallback zoom_api_request tool provides full endpoint surface execution against Zoom REST APIs.

Multi-user Token Model

Vault secret path for user tokens:

  • ${APP_NAME}/users/${normalizedUserId}/zoom/oauth/tokens

Stored fields:

  • accessToken
  • refreshToken
  • tokenType
  • scope
  • expiresAt
  • accountId

Postgres metadata key:

  • zoom.oauth.token.meta

OAuth client secret path:

  • ${APP_NAME}/zoom/oauth/client

Postgres metadata key:

  • zoom.oauth.client.meta

Deployment Auth Setup With MCP Tools

These tools are designed for LLM-driven deployment preparation workflows:

  1. Bootstrap all deployment auth setup in one call:
  • zoom_bootstrap_production_auth
  1. Seed initial OAuth client secret and per-user tokens in Vault:
  • zoom_seed_initial_oauth_vault_state
  1. Persist production MCP_ADMIN_AUTH_KEY and HTTP auth vars before deployment:
  • zoom_production_auth_env_upsert
  1. Validate readiness before rollout:
  • zoom_production_auth_env_readiness

Recommended order for a new production environment:

  1. Run zoom_bootstrap_production_auth for one-shot setup.
  2. Run zoom_production_auth_env_readiness and confirm ready=true.

zoom_production_auth_env_upsert persists:

  • Secrets in Vault path ${APP_NAME}/deployment/production/http-auth-secrets.
  • Non-secret HTTP auth config in Postgres key deployment.production.http.auth (default user scope).

Environment Variables

Use .env.example as source of truth. Key groups:

  • App and admin auth: APP_NAME, MCP_SERVER_NAME, MCP_ADMIN_AUTH_KEY
  • User scope defaults: MCP_CONFIG_DEFAULT_USER_ID
  • Postgres persistence: POSTGRES_*
  • Vault persistence: VAULT_*
  • Zoom API: ZOOM_API_BASE_URL, ZOOM_OAUTH_TOKEN_URL, ZOOM_API_TIMEOUT_MS
  • HTTP transport and auth: MCP_HTTP_*

Local Development

  1. Install dependencies:
npm ci
  1. Start infrastructure and HTTP MCP:
docker compose up -d
  1. Start stdio MCP mode:
npm run start:stdio
  1. Run tests:
npm test

External Services Mode

Use docker-compose.external.yml for environments where Vault and Postgres are already provided.

  • This is an app-only compose path.
  • Requires external POSTGRES_* and VAULT_* values.
  • Minimum required examples: POSTGRES_HOST, POSTGRES_PORT, POSTGRES_DB, POSTGRES_USER, POSTGRES_PASSWORD, VAULT_ADDR, and VAULT_TOKEN.

Security Notes

  • Never place OAuth access/refresh tokens in Postgres.
  • Keep MCP_ADMIN_AUTH_KEY enabled in non-local environments.
  • Use least-privilege Zoom OAuth scopes per workload.
  • For destructive endpoints, prefer dedicated tools and validate ids before execution.

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