Spendline

Name: Spendline
Author: ai.spendline

MCP serverMCP

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

by ai.spendlinehomepage ↗v1.0.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability109/109 checks ok

when	check	result	http	latency	detail
5 h ago	mcp initialize	ok	200	12 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
11 h ago	mcp initialize	ok	200	10 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
17 h ago	mcp initialize	ok	200	10 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
24 h ago	mcp initialize	ok	200	9 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
31 h ago	mcp initialize	ok	200	9 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	19 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	11 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	13 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	17 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools
3 d ago	mcp initialize	ok	200	11 ms	server spendline 1.0.0 · protocol 2025-06-18 · 10 tools

Tools observed via MCP handshake

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 Gatewa
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
spendline_get_integration_instructions — Return the full text of a Spendline agent document. Use `quickstart` for the fastest correct integration, `openai`/`anthropic` for SDK specifics, `attribution`
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. Call
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
spendline_get_spend — 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_budgets — 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 — Return model-block, model-allow and token-cap policies with their match mode, enforcement level and scope (null = account-wide; otherwise { agent_id / customer_
spendline_list_budget_scopes — 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
spendline_create_budget — 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

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registryai.spendline/spendline

first seen 1 mo ago · fetched 24 h agoopen ↗

Field history (6 recent events)

1 mo ago · declared · summary → "Enforce AI budgets before the model call and track cost per customer across 10 providers."
1 mo ago · declared · description → "Enforce AI budgets before the model call and track cost per customer across 10 providers."
1 mo ago · declared · publisherName → "ai.spendline"
1 mo ago · declared · homepageUrl → "https://www.spendline.ai/"
1 mo ago · declared · version → "1.0.0"
1 mo ago · declared · protocols → ["mcp"]

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