No install? Use cloud.anythingmcp.com directly.
Sign in, install the Less Annoying CRM in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Manage Less Annoying CRM (contacts, companies, notes, tasks, pipelines) from any AI agent. 8 tools, dual-header API auth.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Less Annoying CRM klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Less Annoying CRM + Gemini
Manage Less Annoying CRM (contacts, companies, notes, tasks, pipelines) from any AI agent. 8 tools, dual-header API auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
LACRM_USER_CODE, LACRM_API_TOKEN
Schritt 1 — Zugangsdaten holen
This connector wraps the Less Annoying CRM API (api.lessannoyingcrm.com).
Setup:
- Sign in to https://www.lessannoyingcrm.com → top-right avatar → My Account → API → Create new API key.
- Note both the
UserCode(your LACRM user code) and theAPI Token. - Set
LACRM_USER_CODEandLACRM_API_TOKEN.
Authentication: LACRM uses a POST-only API — every call is POST / with UserCode, APIToken, Function and Parameters (JSON-stringified) as form fields. The adapter wraps this so each tool exposes a normal interface and hides the unusual envelope.
…(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 —Less Annoying CRMsollte 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 |
|---|---|
lacrm_search_contacts | Search contacts by name, email, phone, etc |
lacrm_get_contact | Get a single contact by LACRM Contact ID |
lacrm_create_contact | Create a contact |
lacrm_update_contact | Update a contact — pass ContactId + only the fields to change |
lacrm_create_note | Add a note to a contact |
lacrm_create_task | Create a task assigned to one or more users, optionally linked to a contact |
lacrm_get_pipeline_report | Get the pipeline (opportunities) report |
lacrm_get_custom_fields | List all custom fields defined in the account — returns id, name, type |
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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