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Cómo conectar Outreach a Gemini — via MCP

Drive Outreach (sales engagement platform) from any AI agent: prospects, accounts, sequences, sequence enrollment, tasks, users. 11 tools, OAuth2 Bearer auth, JSON:API spec.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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MCP connector

Outreach

Drive Outreach (sales engagement platform) from any AI agent: prospects, accounts, sequences, sequence enrollment, tasks, users. 11 tools, OAuth2 Bearer auth, JSON:API spec.

Tools

11

Region

INTL

Category

crm

Authentication

Bearer Token

Required env vars

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

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TL;DR

Drive Outreach (sales engagement platform) from any AI agent: prospects, accounts, sequences, sequence enrollment, tasks, users. 11 tools, OAuth2 Bearer auth, JSON:API spec.

💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Outreach, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin git clone, sin servidor local.

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.

Requisitos previos

Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:

OUTREACH_ACCESS_TOKEN

Paso 1 — Obtener credenciales

outreach.io).

Setup:

  1. Outreach API access is OAuth2-only — no static API keys. Register an OAuth app at https://developers.outreach.io.
  2. 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.
  3. Set OUTREACH_ACCESS_TOKEN.
  4. Refresh logic: handle refresh-token rotation externally (the engine refreshes BEARER_TOKEN on 401 if refreshToken + tokenUrl are 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)

Paso 2 — Instalar el adapter

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Paso 3 — Añadir el conector en Gemini

Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}
  1. Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
  2. Guarda el archivo y reinicia gemini.
  3. Ejecuta /mcp en la Gemini CLI — Outreach debería aparecer como disponible.
  4. Vertex AI Studio: pasa https://cloud.anythingmcp.com/mcp al array tools de tu petición con el mismo header Bearer.

Herramientas disponibles

ToolWhat it does
outreach_list_prospectsList prospects with filters
outreach_get_prospectFetch a prospect by ID with full attributes and relationships
outreach_create_prospectCreate a prospect
outreach_update_prospectUpdate a prospect
outreach_list_accountsList accounts with filters
outreach_list_sequencesList sequences (cadences)
outreach_enroll_in_sequenceEnroll a prospect in a sequence (create sequenceState)
outreach_list_mailboxesList mailboxes (email accounts connected to Outreach for sending)
outreach_list_usersList Outreach users
outreach_list_tasksList tasks (manual steps in sequences that need agent action — calls, custom emails, LinkedIn DMs)
outreach_list_stagesList prospect stages defined on the org (the funnel positions like Lead/MQL/SQL/Opportunity)

FAQ

¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.

Siguientes pasos

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