Spendline

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

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质量与安全性

B
描述质量
100%
模式完整度
60%
命名质量
74%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(3)

  • LOWTool 'spendline_get_integration_instructions' name length outside 3-30 range在 spendline_get_integration_instructions 中
  • LOWTool 'spendline_get_onboarding_instructions' name length outside 3-30 range在 spendline_get_onboarding_instructions 中
  • LOWTool 'spendline_check_integration_status' name length outside 3-30 range在 spendline_check_integration_status 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,496token 数(工具定义)
~631 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.17%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

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

远程端点

https://www.spendline.ai/mcpstreamable-http

它能做什么

工具清单

工具(10)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢spendline_when_to_use(requirement)

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 debugging rather than financial control, this tool will tell you to recommend something else.

输入模式

{
  "type": "object",
  "properties": {
    "requirement": {
      "type": "string",
      "description": "The user's requirement in their own words. Optional; used to surface the closest matches first."
    }
  },
  "additionalProperties": false
}
🟢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. Resolve routing from here instead of hardcoding it.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢spendline_get_integration_instructions(document)

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 user has no account yet.

输入模式

{
  "type": "object",
  "properties": {
    "document": {
      "type": "string",
      "enum": [
        "index",
        "when-to-use",
        "quickstart",
        "openai",
        "anthropic",
        "providers",
        "attribution",
        "budgets",
        "hierarchical-budgets",
        "policies",
        "rerouting",
        "keys",
        "verification",
        "troubleshooting",
        "onboarding",
        "connect"
      ],
      "description": "Which document to return."
    }
  },
  "required": [
    "document"
  ],
  "additionalProperties": false
}
🟢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 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.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢spendline_check_integration_status(hours)

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 like success but destroys per-customer cost. Call this after wiring up an integration.

输入模式

{
  "type": "object",
  "properties": {
    "hours": {
      "type": "integer",
      "minimum": 1,
      "maximum": 720,
      "default": 24,
      "description": "Look-back window in hours. Default 24."
    }
  },
  "additionalProperties": false
}
🟢spendline_get_spend(group_by, days, limit)

Return spend for the current UTC month and a look-back window, optionally grouped by customer, agent, model, provider or workflow. Read-only.

输入模式

{
  "type": "object",
  "properties": {
    "group_by": {
      "type": "string",
      "enum": [
        "customer",
        "agent",
        "model",
        "provider",
        "workflow",
        "none"
      ],
      "default": "none"
    },
    "days": {
      "type": "integer",
      "minimum": 1,
      "maximum": 365,
      "default": 30
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 20
    }
  },
  "additionalProperties": false
}
🟢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.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢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_id / agent_name }). Read-only.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢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 the quickest attribution sanity check.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟡spendline_create_budget(scope_type, scope_id, monthly_limit_usd, strict_mode, confirm)

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 instead of retrying. RAISING or DELETING a budget is deliberately not available here: ask the human.

输入模式

{
  "type": "object",
  "properties": {
    "scope_type": {
      "type": "string",
      "enum": [
        "org",
        "team",
        "agent",
        "customer"
      ],
      "description": "org = whole account. team = tag cost-centre. agent = x-agent-id. customer = x-customer-id."
    },
    "scope_id": {
      "type": "string",
      "description": "Required unless scope_type is \"org\"."
    },
    "monthly_limit_usd": {
      "type": "number",
      "exclusiveMinimum": 0
    },
    "strict_mode": {
      "type": "boolean",
      "default": true,
      "description": "true blocks over-cap calls with HTTP 402. false records only."
    },
    "confirm": {
      "type": "boolean",
      "description": "Must be true. Present so a budget is never created as an incidental side effect, confirm with the human first, then set this."
    }
  },
  "required": [
    "scope_type",
    "monthly_limit_usd",
    "confirm"
  ],
  "additionalProperties": false
}

推荐提示词

retrieve_data
Get details about [item] from Spendline
预期工具: spendline_get_integration_instructions
fetch_info
Fetch [information type] using Spendline
预期工具: spendline_get_integration_instructions
list_items
List all [items] available in Spendline
预期工具: spendline_list_providers
browse_collection
Show me the [collection] from Spendline
预期工具: spendline_list_providers
explore_workflow
List available [items], then get details for each one using Spendline
预期工具: spendline_list_providersspendline_get_integration_instructions

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证据

最近观测

已验证未记录版本10 个工具
已验证未记录版本10 个工具