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Summary
Drive Outreach (sales engagement platform) from any AI agent: prospects, accounts, sequences, sequence enrollment, tasks, users. 11 tools, OAuth2 Bearer auth, JSON:API spec.
试试这样问
Outreach 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 → Outreach、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Outreach + Gemini
Drive Outreach (sales engagement platform) from any AI agent: prospects, accounts, sequences, sequence enrollment, tasks, users. 11 tools, OAuth2 Bearer auth, JSON:API spec.
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:
OUTREACH_ACCESS_TOKEN
步骤 1 — 获取凭证
outreach.io).
Setup:
- Outreach API access is OAuth2-only — no static API keys. Register an OAuth app at https://developers.outreach.io.
- Run the OAuth2 authorization-code flow to obtain an access_token (short-lived, ~7200 s) + refresh_token (long-lived). The access_token is what you pass to the connector.
- Set
OUTREACH_ACCESS_TOKEN. - Refresh logic: handle refresh-token rotation externally (the engine refreshes BEARER_TOKEN on 401 if
refreshToken+tokenUrlare present in authConfig — but per-tenant OAuth2 setup is outside this connector's scope).
Authentication: Authorization: Bearer ${OUTREACH_ACCESS_TOKEN}.
…(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—Outreach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 |
|---|---|
outreach_list_prospects | List prospects with filters |
outreach_get_prospect | Fetch a prospect by ID with full attributes and relationships |
outreach_create_prospect | Create a prospect |
outreach_update_prospect | Update a prospect |
outreach_list_accounts | List accounts with filters |
outreach_list_sequences | List sequences (cadences) |
outreach_enroll_in_sequence | Enroll a prospect in a sequence (create sequenceState) |
outreach_list_mailboxes | List mailboxes (email accounts connected to Outreach for sending) |
outreach_list_users | List Outreach users |
outreach_list_tasks | List tasks (manual steps in sequences that need agent action — calls, custom emails, LinkedIn DMs) |
outreach_list_stages | List prospect stages defined on the org (the funnel positions like Lead/MQL/SQL/Opportunity) |
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?
