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Summary
Drive Attio (modern relationship-graph CRM) from any AI agent: records (people, companies, deals, custom objects), lists, tasks, notes. 12 tools, Bearer auth.
Frag einfach
Beispiel-Prompts für Attio
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Konnektor laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Attio klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Attio + Gemini
Drive Attio (modern relationship-graph CRM) from any AI agent: records (people, companies, deals, custom objects), lists, tasks, notes. 12 tools, Bearer auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
ATTIO_ACCESS_TOKEN
Schritt 1 — Zugangsdaten holen
attio.com).
Setup:
- Sign in to Attio → top-right avatar → API & access → Create an access token (or set up an OAuth app).
- Pick scopes: at minimum
object_configuration:read,record_permission:read,record_permission:read-write,list_configuration:read,note:read-write. - Copy the token. Set
ATTIO_ACCESS_TOKEN.
Authentication: Authorization: Bearer ${ATTIO_ACCESS_TOKEN}.
Object model: Attio is highly schema-flexible. Default objects are people, companies, deals, users, workspaces. You can add custom objects (object_slug). Each object has attributes (fields) — different per workspace.
…(continued in the in-app connector instructions)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Attiosollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
attio_self | Return the token's identity (workspace_id, workspace_name, access_token id, permissions) |
attio_list_objects | List all objects defined in the workspace (built-in + custom) |
attio_list_object_attributes | List attributes (fields) on an object |
attio_query_records | Query records on an object with filters + sorting |
attio_get_record | Fetch a single record by object + record_id |
attio_create_record | Create a record |
attio_update_record | Update a record (PATCH semantics — only updates passed values) |
attio_assert_record | Upsert by a unique attribute (e |
attio_list_lists | List the workspace's lists (views/collections of records) |
attio_add_record_to_list | Add a record (as a list entry) to a list |
attio_list_notes | List notes on records |
attio_create_note | Add a note to a record |
FAQ
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
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