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Summary
Manage KashFlow (UK accounting) customers, suppliers, invoices, receipts, products via SOAP envelope from any AI agent. 8 tools, embedded-auth.
Try asking
Example prompts for KashFlow
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → KashFlow, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
KashFlow + Gemini
Manage KashFlow (UK accounting) customers, suppliers, invoices, receipts, products via SOAP envelope from any AI agent. 8 tools, embedded-auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
KASHFLOW_USERNAME, KASHFLOW_PASSWORD
Step 1 — Get credentials
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 — Install the adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Add the connector in Gemini
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → Profile → MCP API Keys → New Key.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —KashFlowshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcpto thetoolsarray of your request with the same Bearer header.
Available tools
| 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
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with Bearer headers.
Next steps
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