No install? Use cloud.anythingmcp.com directly.
Sign in, install the KashFlow 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 KashFlow (UK accounting) customers, suppliers, invoices, receipts, products via SOAP envelope from any AI agent. 8 tools, embedded-auth.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → KashFlow, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
KashFlow + Gemini
Manage KashFlow (UK accounting) customers, suppliers, invoices, receipts, products via SOAP envelope from any AI agent. 8 tools, embedded-auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
KASHFLOW_USERNAME, KASHFLOW_PASSWORD
Step 1 — Ottieni le credenziali
This connector wraps the KashFlow REST API (securedwebapp.com/api).
Setup:
- Log into https://securedwebapp.com → Settings → API → Enable API access.
- Note your Username + API password (separate from your login password).
- Set
KASHFLOW_USERNAMEandKASHFLOW_PASSWORD.
Authentication: KashFlow uses a REST API with username + password in the URL path: /api/v2/{username}/{password}/<endpoint>. The adapter substitutes both via runtime envVars — the credentials never appear in query string or body.
…(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 —KashFlowdovrebbe 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 |
|---|---|
kashflow_list_customers | List customers |
kashflow_get_customer | Get one customer by KashFlow CustomerID |
kashflow_create_customer | Create a customer |
kashflow_list_suppliers | List suppliers |
kashflow_list_invoices | List sales invoices |
kashflow_get_invoice | Get a single invoice with line items |
kashflow_create_invoice | Create a sales invoice |
kashflow_list_products | List products / services |
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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