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Less Annoying CRM mit Gemini verbinden — über MCP

Manage Less Annoying CRM (contacts, companies, notes, tasks, pipelines) from any AI agent. 8 tools, dual-header API auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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

MCP connector

Less Annoying CRM

Manage Less Annoying CRM (contacts, companies, notes, tasks, pipelines) from any AI agent. 8 tools, dual-header API auth.

Tools

8

Region

INTL

Category

crm

Authentication

Public API

Required env vars

LACRM_USER_CODELACRM_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 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.

Open Cloud

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:

  1. Sign in to https://www.lessannoyingcrm.com → top-right avatar → My Account → API → Create new API key.
  2. Note both the UserCode (your LACRM user code) and the API Token.
  3. Set LACRM_USER_CODE and LACRM_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" }
    }
  }
}
  1. Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
  2. Speichern und gemini neu starten.
  3. /mcp in Gemini CLI ausführen — Less Annoying CRM sollte als verfügbar gelistet sein.
  4. Vertex AI Studio: https://cloud.anythingmcp.com/mcp im tools-Array der Anfrage mit demselben Bearer-Header übergeben.

Verfügbare Tools

ToolWhat it does
lacrm_search_contactsSearch contacts by name, email, phone, etc
lacrm_get_contactGet a single contact by LACRM Contact ID
lacrm_create_contactCreate a contact
lacrm_update_contactUpdate a contact — pass ContactId + only the fields to change
lacrm_create_noteAdd a note to a contact
lacrm_create_taskCreate a task assigned to one or more users, optionally linked to a contact
lacrm_get_pipeline_reportGet the pipeline (opportunities) report
lacrm_get_custom_fieldsList 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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