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如何将 Slab 连接到 Gemini — 通过 MCP

Drive Slab (team wiki) from any AI agent via its GraphQL API: posts, topics, users, search. 6 tools, Bearer auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MCP connector

Slab

Drive Slab (team wiki) from any AI agent via its GraphQL API: posts, topics, users, search. 6 tools, Bearer auth.

Tools

11

Region

INTL

Category

knowledge

Authentication

Bearer Token

Required env vars

SLAB_API_TOKEN
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the Slab in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

Drive Slab (team wiki) from any AI agent via its GraphQL API: posts, topics, users, search. 6 tools, Bearer auth.

💡 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:

  1. Sign in to Slab → top-right avatar → Account Settings → Tokens → Create token.
  2. Pick scopes: at minimum read posts, read topics, read users.
  3. 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" }
    }
  }
}
  1. 从 AnythingMCP 获取你的 MCP API key
  2. 保存文件并重启 gemini
  3. 在 Gemini CLI 中运行 /mcpSlab 应显示为可用。
  4. 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

ToolWhat it does
slab_meReturn the user the token belongs to (id, name, email, organization)
slab_get_postFetch a post by ID with title + content (in markdown) + topics + owner
slab_search_postsSearch posts by query text
slab_list_topicsList top-level topics in the organization
slab_get_topic_postsList posts within a topic
slab_create_postCreate 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

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