# Model Price Radar (pypi · model-price-radar-mcp)

LLM prices on OpenRouter now and since 2023: history, drops, cheapest model for a job. No API keys.

- Trust score: 71/100 (medium)
- Change this week: −14
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `model-price-radar-mcp`: 71/100 (this document), [markdown](https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp.md), [page](https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp)

## Channel facts

- Registry: `pypi`
- Package: `model-price-radar-mcp`
- Version: `0.1.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-11-05.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 31 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 34 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 84/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 662 tokens (~132/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 97/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 90% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Model Price Radar MCP server?

Model Price Radar runs locally as a PyPI package, launched with uvx model-price-radar-mcp. 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 alialtunar-model-price-radar-mcp -- uvx model-price-radar-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "alialtunar-model-price-radar-mcp": {
      "command": "uvx",
      "args": [
        "model-price-radar-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "alialtunar-model-price-radar-mcp": {
      "command": "uvx",
      "args": [
        "model-price-radar-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add alialtunar-model-price-radar-mcp -- uvx model-price-radar-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "alialtunar-model-price-radar-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "model-price-radar-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add alialtunar-model-price-radar-mcp --command uvx --arg model-price-radar-mcp
```

### Hermes

```yaml
mcp_servers:
  alialtunar-model-price-radar-mcp:
    command: "uvx"
    args: ["model-price-radar-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "alialtunar-model-price-radar-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "model-price-radar-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add alialtunar-model-price-radar-mcp -t stdio -c uvx -a model-price-radar-mcp
```

### Other

```json
{
  "mcpServers": {
    "alialtunar-model-price-radar-mcp": {
      "command": "uvx",
      "args": [
        "model-price-radar-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-11-03 (score 71, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-31 (score 86, +1)

- [security] Stability: 0.97 → pass

### 2026-10-29 (score 85, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 84, +1)

No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-22 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-20 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-18 (score 80, +16)

- [security improvement] Malware scan: unverified → pass

## MCP tools (5)

### `find_models` (~172 tokens)

Search OpenRouter's live catalog by name, capabilities, price ceilings and context size.
'cheapest' ranks by blended price (3 input : 1 output tokens).

Input parameters:

- `limit` (integer)
- `max_input_price`: Max $ per 1M input tokens.
- `max_output_price`: Max $ per 1M output tokens.
- `min_context`: Minimum context window in tokens, e.g. 128000.
- `needs` (array): Required capabilities, e.g. ['tools', 'vision'].
- `query`: Words in the model id or name, e.g. 'claude', 'llama 70b', 'qwen coder'.
- `response_format` (string): 'markdown' (default) or 'json'.
- `sort` (string): Ranking.

Output parameters:

- `result` (string)

### `estimate_cost` (~113 tokens)

Cost of a workload on several models at today's prices, cheapest first.

Input parameters:

- `calls` (integer): Number of calls, e.g. per day or per month.
- `input_tokens` (integer, required): Input tokens per call.
- `models` (array, required): Model ids or names, e.g. ['openai/gpt-4o-mini', 'claude haiku'].
- `output_tokens` (integer, required): Output tokens per call.
- `response_format` (string): 'markdown' (default) or 'json'.

Output parameters:

- `result` (string)

### `model_price_history` (~98 tokens)

Monthly price history of one model since it appeared on OpenRouter (archived copies since
2023\) plus today's price. Shows every price change with its % and the overall change.

Input parameters:

- `model` (string, required): Model id or name, e.g. 'openai/gpt-4o' or 'llama 3.1 70b'.
- `response_format` (string): 'markdown' (default) or 'json'.

Output parameters:

- `result` (string)

### `price_changes` (~89 tokens)

What changed in LLM pricing since a month: biggest price drops and increases, newly free
models, and how many models were added or removed.

Input parameters:

- `limit` (integer)
- `response_format` (string): 'markdown' (default) or 'json'.
- `since` (string): Compare against the archived month closest to this, 'YYYY-MM' (default: 3 months ago).

Output parameters:

- `result` (string)

### `compare_providers` (~90 tokens)

Same model, different providers: price, context, max output, quantization and recent uptime
for every provider that serves it on OpenRouter, cheapest first.

Input parameters:

- `model` (string, required): Model id or name, e.g. 'meta-llama/llama-3.3-70b-instruct'.
- `response_format` (string): 'markdown' (default) or 'json'.

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp#diagnostics

## Score history

- 2026-11-05: 71
- 2026-11-04: 71
- 2026-11-03: 71
- 2026-11-02: 86
- 2026-11-01: 86
- 2026-10-31: 86
- 2026-10-30: 85
- 2026-10-29: 85
- 2026-10-28: 84
- 2026-10-27: 84
- 2026-10-26: 84
- 2026-10-25: 83
- 2026-10-24: 83
- 2026-10-23: 82
- 2026-10-22: 82
- 2026-10-21: 81
- 2026-10-20: 81
- 2026-10-19: 80
- 2026-10-18: 80
- 2026-10-17: 64
- 2026-10-16: 79
- 2026-10-15: 78
- 2026-10-14: 78
- 2026-10-13: 57
- 2026-10-12: 57
- 2026-10-07: 57
- 2026-10-04: 57
- 2026-10-03: 57
- 2026-10-02: 57
- 2026-10-01: 57

## Common questions

### What is the Model Price Radar MCP server?

Model Price Radar is an MCP server listed in the public MCP registry as io.github.alialtunar/model-price-radar-mcp. LLM prices on OpenRouter now and since 2023: history, drops, cheapest model for a job. No API keys. This page covers its PyPI package (model-price-radar-mcp).

### Is the Model Price Radar MCP server safe to use?

Model Price Radar scores 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. 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 Model Price Radar MCP server expose?

Model Price Radar exposes 5 tools: find_models, estimate_cost, model_price_history, price_changes, compare_providers. Their descriptions and schemas cost roughly 562 tokens of context every time the server is loaded.

### Is the Model Price Radar MCP server still maintained?

Model Price Radar is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Model Price Radar MCP server under?

Model Price Radar declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

### What did VerifyMCP test on the Model Price Radar MCP server?

VerifyMCP ran 15 checks on Model Price Radar, covering Known CVEs, Install scripts, Dependency health, Source repository and 11 more. One item could not be completed, a gap on our side rather than a finding about Model Price Radar: Malware scan. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- PyPI project: https://pypi.org/project/model-price-radar-mcp/
- Socket report: https://socket.dev/pypi/package/model-price-radar-mcp
- Repository: https://github.com/alialtunar/model-price-radar-mcp
- Changelog RSS feed: https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp.json
- HTML version of this page: https://verifymcp.io/servers/alialtunar-model-price-radar-mcp/model-price-radar-mcp