# Spendline (remote · www.spendline.ai)

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

- Trust score: 79/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-24

## Components

- remote · `www.spendline.ai`: 79/100 (this document), [markdown](https://verifymcp.io/servers/ai-spendline-spendline/www.md), [page](https://verifymcp.io/servers/ai-spendline-spendline/www)

## Channel facts

- Endpoint: `https://www.spendline.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-24.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 79/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 972 tokens (~97/item across 10 items; 10 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 53/100
  - Stability observed for 16 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 88/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 64% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the Spendline MCP server?

Spendline is a hosted endpoint at https://www.spendline.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

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

### Cursor

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

### VS Code

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-spendline-spendline": {
      "type": "remote",
      "url": "https://www.spendline.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-spendline-spendline --url 'https://www.spendline.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-spendline-spendline:
    url: "https://www.spendline.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "ai-spendline-spendline": {
      "Transport": "http",
      "Url": "https://www.spendline.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add ai-spendline-spendline -t streamable-http -u 'https://www.spendline.ai/mcp'
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-23 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-21 (score 78, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-19 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-18 (score 76, 0)

- [security] Tool “spendline_list_policies” rewrote its description, which is the text the model reads

### 2026-09-17 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-15 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-13 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (10)

### `spendline_when_to_use` (~113 tokens)

Decide whether Spendline fits a 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 parameters:

- `requirement` (string): The user's requirement in their own words. Optional; used to surface the closest matches first.

### `spendline_list_providers` (~74 tokens)

List supported providers, request shapes and base-URL rules

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_get_integration_instructions` (~99 tokens)

Fetch deterministic integration instructions

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 parameters:

- `document` (string, required): Which document to return.

### `spendline_get_onboarding_instructions` (~75 tokens)

Explain how to get an account and a key

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_check_integration_status` (~101 tokens)

Check whether traffic is arriving and correctly attributed

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 parameters:

- `hours` (integer): Look-back window in hours. Default 24.

### `spendline_get_spend` (~62 tokens)

Read current spend, optionally broken down

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

Input parameters:

- `days` (integer)
- `group_by` (string)
- `limit` (integer)

### `spendline_list_budgets` (~42 tokens)

List budgets with current spend against each limit

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` (~51 tokens)

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.

### `spendline_list_budget_scopes` (~47 tokens)

Discover which agents, customers and teams have traffic

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_create_budget` (~203 tokens)

Create a NEW budget (owner/admin authority + explicit 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 parameters:

- `confirm` (boolean, required): Must be true. Present so a budget is never created as an incidental side effect, confirm with the human first, then set this.
- `monthly_limit_usd` (number, required)
- `scope_id` (string): Required unless scope_type is "org".
- `scope_type` (string, required): org = whole account. team = tag cost-centre. agent = x-agent-id. customer = x-customer-id.
- `strict_mode` (boolean): true blocks over-cap calls with HTTP 402. false records only.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-spendline-spendline/www#diagnostics

## Score history

- 2026-09-24: 79
- 2026-09-23: 79
- 2026-09-22: 78
- 2026-09-21: 78
- 2026-09-20: 77
- 2026-09-19: 77
- 2026-09-18: 76
- 2026-09-17: 76
- 2026-09-16: 75
- 2026-09-15: 75
- 2026-09-14: 74
- 2026-09-13: 74
- 2026-09-12: 73
- 2026-09-11: 73
- 2026-09-10: 73
- 2026-09-09: 72
- 2026-09-08: 72

## Common questions

### What is the Spendline MCP server?

Spendline is an MCP server listed in the public MCP registry as ai.spendline/spendline. Enforce AI budgets before the model call and track cost per customer across 10 providers. This page covers its hosted endpoint (https://www.spendline.ai/mcp).

### Is the Spendline MCP server safe to use?

Spendline scores 79 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Spendline MCP server expose?

Spendline exposes 10 tools: spendline_when_to_use, spendline_list_providers, spendline_get_integration_instructions, spendline_get_onboarding_instructions, spendline_check_integration_status, and 5 more. Their descriptions and schemas cost roughly 867 tokens of context every time the server is loaded.

### Does the Spendline MCP server require authentication?

No. We connected to Spendline without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Spendline MCP server still maintained?

Spendline is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://www.spendline.ai/mcp
- Website: https://www.spendline.ai/
- Changelog RSS feed: https://verifymcp.io/servers/ai-spendline-spendline/www.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-spendline-spendline/www.json
- HTML version of this page: https://verifymcp.io/servers/ai-spendline-spendline/www