# io.github.CloudCorpRecords/modelpulse (oci · ghcr.io/cloudcorprecords/modelpulse)

AI model releases, price changes, comparisons and cost estimates in one normalised feed.

- Trust score: 41/100 (low)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- npm · `@reneturcios/modelpulse`: 71/100, [markdown](https://verifymcp.io/servers/cloudcorprecords-modelpulse/reneturcios-modelpulse.md), [page](https://verifymcp.io/servers/cloudcorprecords-modelpulse/reneturcios-modelpulse)
- oci · `ghcr.io/cloudcorprecords/modelpulse`: 41/100 (this document), [markdown](https://verifymcp.io/servers/cloudcorprecords-modelpulse/ghcr-io-cloudcorprecords-modelpulse.md), [page](https://verifymcp.io/servers/cloudcorprecords-modelpulse/ghcr-io-cloudcorprecords-modelpulse)

## Channel facts

- Registry: `oci`
- Package: `ghcr.io/cloudcorprecords/modelpulse`
- 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**: 0/100
  - No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.
  - Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.
- **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 0 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1030 tokens (~128/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 3/100
  - Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the io.github.CloudCorpRecords/modelpulse MCP server?

io.github.CloudCorpRecords/modelpulse runs locally as a container image, launched with docker run --rm -i ghcr.io/cloudcorprecords/modelpulse:0.1.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add cloudcorprecords-modelpulse -- docker run --rm -i ghcr.io/cloudcorprecords/modelpulse:0.1.0
```

### Cursor

```json
{
  "mcpServers": {
    "cloudcorprecords-modelpulse": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/modelpulse:0.1.0"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "cloudcorprecords-modelpulse": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/modelpulse:0.1.0"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add cloudcorprecords-modelpulse -- docker run --rm -i ghcr.io/cloudcorprecords/modelpulse:0.1.0
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cloudcorprecords-modelpulse": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/modelpulse:0.1.0"
      ],
      "enabled": true
    }
  }
}
```

### Hermes

```yaml
mcp_servers:
  cloudcorprecords-modelpulse:
    command: "docker"
    args: ["run", "--rm", "-i", "ghcr.io/cloudcorprecords/modelpulse:0.1.0"]
```

### Netclaw

```json
{
  "McpServers": {
    "cloudcorprecords-modelpulse": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/modelpulse:0.1.0"
      ]
    }
  }
}
```

### Other

```json
{
  "mcpServers": {
    "cloudcorprecords-modelpulse": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/modelpulse:0.1.0"
      ]
    }
  }
}
```

## 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.

### 2026-11-04 (score 41)

First indexed and scored.

## MCP tools (8)

### `list_model_changes` (~162 tokens)

Changes across AI models: new releases, price changes, API changes and deprecations. Normalized from vendor release notes, Hugging Face, the OpenRouter catalog, GitHub and the LiteLLM price map, deduplicated per model, each marked official or pending review. Poll with `since` (unix seconds) and feed the returned `latest` back next time.

Input parameters:

- `limit` (number): 1-100, default 20
- `model` (string): Vendor slug, e.g. claude
- `since` (number): Unix seconds. Only changes detected after this, oldest first.
- `type` (string): Filter by change type: new_model, price_change, api_change, open_source_surge or deprecation.

### `get_model` (~79 tokens)

Pricing, context length and catalog status for one model. Accepts an OpenRouter id (anthropic/claude-opus-5) or a Hugging Face repo id.

Input parameters:

- `id` (string, required): Model identifier: an OpenRouter id (e.g. anthropic/claude-opus-5) or a Hugging Face repo id.

### `get_price_history` (~81 tokens)

Price history for one model: when the price changed and to what. The public catalog only exposes the current price, so this answers 'was this cheaper last month?'. Each entry holds until the next one. History starts when AI Wave began recording, not when the model launched.

Input parameters:

- `id` (string, required): OpenRouter id or Hugging Face repo id

### `search_models` (~279 tokens)

Shortlist models by budget, context and capability, ranked by measured performance. Use this to answer 'which model should I use for X': it returns benchmark scores alongside price so the trade-off is visible in one call. Sort by a subject (math, coding, science, reading) to find a model good at one thing.

Input parameters:

- `accepts` (string): What the model must be able to take in, e.g. image for vision tasks.
- `limit` (number): 1-50, default 10
- `maxInputPrice` (number): USD per 1M input tokens
- `minContext` (number): Minimum context length the model must offer, in tokens.
- `minIntelligence` (number): Lowest acceptable overall index. Leaders sit near 53; the median is 16.
- `mode` (string): What the model does. Non-chat modes are priced in other units: check price.unit.
- `outputs` (string): What the model produces. A model that accepts video but writes text is 'text', not 'video': filter on what you need made, not what it can read.
- `sortBy` (string): Ranking basis. Default 'intelligence' (overall). 'buzz' is popularity, not skill.
- `vendor` (string): OpenRouter namespace, e.g. anthropic

### `compare_models` (~135 tokens)

Put two or more models side by side: price, context, benchmark scores per subject, and what each costs per month at a given volume. Use this instead of calling get_model repeatedly: it aligns the fields and marks which subjects a model has not been tested on, so a missing score is not read as a low one.

Input parameters:

- `ids` (array, required): 2-6 OpenRouter ids, e.g. ['anthropic/claude-opus-5','openai/gpt-5.2']
- `monthlyMillionTokens` (number): Volume for the cost estimate. Default 10 (10M tokens a month).

### `estimate_cost` (~115 tokens)

What one model costs per month at a given token volume, in USD and KRW. Token prices are per million and hard to reason about directly; this turns them into a monthly bill. Input and output are mixed 75/25 unless you pass your own split.

Input parameters:

- `id` (string, required): OpenRouter id or Hugging Face repo id
- `inputShare` (number): 0-1, share of tokens that are input. Default 0.75
- `monthlyMillionTokens` (number): Default 10

### `get_today` (~77 tokens)

Today in one call: the top 5 models, which ones climbed, whose pricing changed in the last 24h, and what was newly listed in the last 7 days. Use this instead of paging list_model_changes and re-deriving the summary: price changes are already collapsed to one per model, with the raw count kept.

### `find_replacement` (~102 tokens)

What to switch to when a model is gone or you need a fallback. Ranked by closeness in measured performance, not by vendor or price: what you usually need to preserve first is the quality of the output. Candidates whose context window is less than half the original are excluded. Returns the score, price and context deltas so you can judge; we do not pick for you.

Input parameters:

- `id` (string, required): OpenRouter id or Hugging Face repo id

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/cloudcorprecords-modelpulse/ghcr-io-cloudcorprecords-modelpulse#diagnostics

## Score history

- 2026-11-05: 41
- 2026-11-04: 41

## Common questions

### What is the io.github.CloudCorpRecords/modelpulse MCP server?

io.github.CloudCorpRecords/modelpulse is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/modelpulse. AI model releases, price changes, comparisons and cost estimates in one normalised feed. This page covers its container image (ghcr.io/cloudcorprecords/modelpulse).

### Is the io.github.CloudCorpRecords/modelpulse MCP server safe to use?

io.github.CloudCorpRecords/modelpulse scores 41 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 io.github.CloudCorpRecords/modelpulse MCP server expose?

io.github.CloudCorpRecords/modelpulse exposes 8 tools: list_model_changes, get_model, get_price_history, search_models, compare_models, and 3 more. Their descriptions and schemas cost roughly 1,030 tokens of context every time the server is loaded.

### Is the io.github.CloudCorpRecords/modelpulse MCP server still maintained?

io.github.CloudCorpRecords/modelpulse 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 io.github.CloudCorpRecords/modelpulse MCP server under?

io.github.CloudCorpRecords/modelpulse declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- GitHub Container Registry: https://ghcr.io/cloudcorprecords/modelpulse
- Repository: https://github.com/CloudCorpRecords/modelpulse
- Changelog RSS feed: https://verifymcp.io/servers/cloudcorprecords-modelpulse/ghcr-io-cloudcorprecords-modelpulse.xml
- Changelog JSON feed: https://verifymcp.io/servers/cloudcorprecords-modelpulse/ghcr-io-cloudcorprecords-modelpulse.json
- HTML version of this page: https://verifymcp.io/servers/cloudcorprecords-modelpulse/ghcr-io-cloudcorprecords-modelpulse