Spendline

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

Should I use this

Quality & Safety

B
Description quality
100%
Schema completeness
60%
Naming quality
74%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • LOWTool 'spendline_get_integration_instructions' name length outside 3-30 rangein spendline_get_integration_instructions
  • LOWTool 'spendline_get_onboarding_instructions' name length outside 3-30 rangein spendline_get_onboarding_instructions
  • LOWTool 'spendline_check_integration_status' name length outside 3-30 rangein spendline_check_integration_status

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,496Tokens (tool definitions)
~631 BTypical response size
Moderate attention impact (1.17% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

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

Remote endpoints

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

What it can do

Tool inventory

Tools (10)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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
}

Recommended Prompts

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

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded10 tools
verifiedversion not recorded10 tools