INDIVIDUAL MCP TOOL

spendline_create_budget

Create a new hierarchical budget.

spendline.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://www.spendline.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for spendline_create_budget and invoke it with your own arguments.

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.spendline]
url = "https://www.spendline.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "spendline": {
      "type": "http",
      "url": "https://www.spendline.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: spendline
Remote MCP URL: https://www.spendline.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "spendline": {
      "url": "https://www.spendline.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "spendline": {
      "type": "http",
      "url": "https://www.spendline.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "spendline",
  "transport": "streamable-http",
  "url": "https://www.spendline.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

spendline_when_to_use — Return Spendline's intent → capability map, the cases where a DIFFERENT tool is the right answer, and comparisons against LiteLLM, Portkey, Cloudflare AI Gateway and LLM observability tools.
spendline_list_providers — Return every provider Spendline can proxy, the three accepted request shapes, the exact base URL to set per SDK (including the OpenAI-vs-Anthropic /v1 asymmetry), the required attribution headers, and the request shapes that are NOT proxied.
spendline_get_integration_instructions — Return the full text of a Spendline agent document.
spendline_get_onboarding_instructions — Return the exact steps for agent-initiated, human-authorized provisioning, including which actions require the human and which the agent may perform alone.
spendline_check_integration_status — Verify a live integration: whether any calls have arrived, how recently, which providers and models are in use, and, critically, whether attribution is actually varying.
spendline_get_spend — Return spend for the current UTC month and a look-back window, optionally grouped by customer, agent, model, provider or workflow.
spendline_list_budgets — Return every hierarchical budget for the account with month-to-date spend, percentage used, and whether it is in blocking (strict) mode.
spendline_list_policies — Return model-block and token-cap policies with their match mode and enforcement level.