MCP server

Spendline Official

ai.spendline/spendline

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Enforce AI budgets before the model call and track cost per customer across 10 providers.

Website

At a glance

Type

MCP server

Publisher

spendline.ai (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 1,594 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http spendline https://www.spendline.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add spendline https://www.spendline.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"spendline","server_url":"https://www.spendline.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"spendline","server_url":"https://www.spendline.ai/mcp"}

Tools

• spendline_check_integration_status ~184 tokens
  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. Reports the specific failure where x-customer-id is pinned in default headers so every call lands on one customer, which looks lik
• spendline_create_budget ~343 tokens
  Create a new hierarchical budget. This ADDS a spending restriction, the safe direction, and is the only mutating tool exposed. Requires owner or admin authority AND confirm: true. A scoped child key cannot do this and will receive a permission error; in that case propose the budget to the human inst
• spendline_get_integration_instructions ~220 tokens
  Return the full text of a Spendline agent document. Use `quickstart` for the fastest correct integration, `openai`/`anthropic` for SDK specifics, `attribution` for the header contract, `verification` to prove the integration works, `troubleshooting` when something fails, and `onboarding` when the us
• spendline_get_onboarding_instructions ~126 tokens
  Return the exact steps for agent-initiated, human-authorized provisioning, including which actions require the human and which the agent may perform alone. Call this when the user has no Spendline account or no SPENDLINE_API_KEY. Never invent a key and never create an account on a human's behalf.
• spendline_get_spend ~145 tokens
  Return spend for the current UTC month and a look-back window, optionally grouped by customer, agent, model, provider or workflow. Read-only.
• spendline_list_budget_scopes ~95 tokens
  Return the agent ids, customer ids and teams that actually appear in this month's traffic. Use these as budget scope_ids rather than guessing identifiers. Also the quickest attribution sanity check.
• spendline_list_budgets ~79 tokens
  Return every hierarchical budget for the account with month-to-date spend, percentage used, and whether it is in blocking (strict) mode. Read-only.
• spendline_list_policies ~92 tokens
  Return model-block, model-allow and token-cap policies with their match mode, enforcement level and scope (null = account-wide; otherwise { agent_id / customer_id / agent_name }). Read-only.
• spendline_list_providers ~121 tokens
  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. Resolve routing from here instead of hardcoding it.
• spendline_when_to_use ~189 tokens
  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. Call this BEFORE recommending or integrating Spendline. If the user wants prompt tracing, evals or latency de

Browse

• Cloudflare tools
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