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Summary
Drive Insightly (CRM + project management) from any AI agent: contacts, organisations, leads, opportunities, projects, tasks. 12 tools, Basic auth.
Prova a chiedere
Prompt di esempio per Insightly
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Insightly, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Insightly + Gemini
Drive Insightly (CRM + project management) from any AI agent: contacts, organisations, leads, opportunities, projects, tasks. 12 tools, Basic auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
INSIGHTLY_API_KEY, INSIGHTLY_POD
Step 1 — Ottieni le credenziali
1 (api.insightly.com/v3.1).
Setup:
- Sign in to Insightly → bottom-left avatar → User Settings → API Key.
- Copy the key. Set
INSIGHTLY_API_KEY. - Note the API URL pod — visible in the same screen as the API key (e.g.
api.na1.insightly.comfor North America #1). SetINSIGHTLY_POD(just the pod part, e.g.na1,eu2).
Authentication: HTTP Basic with username=API_KEY, password=empty.
Pod-specific URL: https://api.{{INSIGHTLY_POD}}.insightly.com/v3.1. Wrong pod → 404.
Lead vs Contact: Insightly has both. Leads are unqualified (no opportunity yet); contacts are people in opportunities or just relationships.
…(continued in the in-app connector instructions)
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Insightlydovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| Tool | What it does |
|---|---|
insightly_get_current_user | Return the user the API key belongs to (whoami) |
insightly_list_contacts | List contacts with filter/sort |
insightly_get_contact | Fetch one contact by ID |
insightly_create_contact | Create a contact |
insightly_list_organisations | List organisations (companies) |
insightly_list_leads | List leads (unqualified prospects) |
insightly_create_lead | Create a lead |
insightly_list_opportunities | List opportunities |
insightly_create_opportunity | Create an opportunity |
insightly_list_pipelines | List pipelines + their stages (FOR_OPPORTUNITIES or FOR_PROJECTS) |
insightly_list_projects | List projects |
insightly_list_tasks | List tasks (CRM activities) |
FAQ
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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