Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Slab in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Drive Slab (team wiki) from any AI agent via its GraphQL API: posts, topics, users, search. 6 tools, Bearer auth.
试试这样问
Slab 的示例提示
点击任意提示即可复制，然后粘贴到 Claude、ChatGPT、Cursor、Gemini、Copilot 或 OpenClaw 中，在该连接器上运行。
Claude 是 AI，可能会出错。请核对回答。
💡 无需安装? 直接使用 cloud.anythingmcp.com。 登录、点击 Connectors → Slab、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Slab + Gemini
Drive Slab (team wiki) from any AI agent via its GraphQL API: posts, topics, users, search. 6 tools, Bearer auth.
前提条件
完整的设置说明已内置在连接器中 (在 store 中选择连接器时可见)。所需环境变量:
SLAB_API_TOKEN
步骤 1 — 获取凭证
slab.com/v1/graphql).
Setup:
- Sign in to Slab → top-right avatar → Account Settings → Tokens → Create token.
- Pick scopes: at minimum
read posts,read topics,read users. - Set
SLAB_API_TOKEN.
Authentication: Authorization: Bearer ${SLAB_API_TOKEN}.
GraphQL-only: Slab has no REST. The adapter exposes a few curated mutations + queries as wrappers; for arbitrary queries use the auto-injected GraphQL builtins (each GRAPHQL adapter gets slab_graphql_schema, slab_graphql_query, slab_graphql_mutation automatically).
…(continued in the in-app connector instructions)
步骤 2 — 安装 adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
步骤 3 — 在 Gemini 中添加连接器
Gemini CLI 从 ~/.gemini/settings.json (Windows: %APPDATA%\gemini\settings.json) 读取 MCP 服务器。添加:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- 从 AnythingMCP 获取你的 MCP API key。
- 保存文件并重启
gemini。 - 在 Gemini CLI 中运行
/mcp—Slab应显示为可用。 - Vertex AI Studio: 将
https://cloud.anythingmcp.com/mcp传入请求的tools数组,使用相同的 Bearer 头。
可用工具
| Tool | What it does |
|---|---|
slab_me | Return the user the token belongs to (id, name, email, organization) |
slab_get_post | Fetch a post by ID with title + content (in markdown) + topics + owner |
slab_search_posts | Search posts by query text |
slab_list_topics | List top-level topics in the organization |
slab_get_topic_posts | List posts within a topic |
slab_create_post | Create a post from markdown content |
FAQ
Gemini 1.5 Pro 或 2.x 支持 MCP 吗? 支持 — Gemini CLI ≥ 0.4 与 Vertex AI tools API 均接受带 Bearer 头的 MCP httpUrl 连接器。
下一步
这份指南对你有帮助吗?
