# io.github.Lykhoyda/ask-ollama (npm · @ask-llm/ollama-mcp)

Bridge Claude with local Ollama LLMs for private AI-to-AI collaboration — no API keys, fully local

- Trust score: 71/100 (medium)
- Change this week: +18
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@ask-llm/ollama-mcp`: 71/100 (this document), [markdown](https://verifymcp.io/servers/lykhoyda-ask-ollama/ask-llm-ollama-mcp.md), [page](https://verifymcp.io/servers/lykhoyda-ask-ollama/ask-llm-ollama-mcp)

## Channel facts

- Registry: `npm`
- Package: `@ask-llm/ollama-mcp`
- Version: `0.5.5`
- 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 2026-08-03.

- **Supply Chain Security**: 86/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
- **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 9 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 85/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 400 tokens (~100/item across 4 items; 3 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 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.
  - Structured output schemas are declared (67% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add lykhoyda-ask-ollama -- npx -y @ask-llm/ollama-mcp
```

### Codex

```bash
codex mcp add lykhoyda-ask-ollama -- npx -y @ask-llm/ollama-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "lykhoyda-ask-ollama": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@ask-llm/ollama-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add lykhoyda-ask-ollama --command npx --arg -y --arg @ask-llm/ollama-mcp
```

### Hermes

```yaml
mcp_servers:
  lykhoyda-ask-ollama:
    command: "npx"
    args: ["-y", "@ask-llm/ollama-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "lykhoyda-ask-ollama": {
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/ollama-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.

### 2026-08-03 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-02 (score 70, +29)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [functional improvement] License: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Stability: unverified → 0.23
- [functional improvement] Schema quality: unverified → excellent
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional] Licence: MIT

### 2026-08-01 (score 41, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-07-31 (score 26, −27)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 53)

First indexed and scored.

## MCP tools (3)

### `ask-ollama` (~251 tokens)

Send a prompt to a local Ollama LLM (defaults to qwen3.6:27b; errors with a 'pull it first' message if the model isn't installed — no automatic substitution). Use for code review, second opinions, analysis, and AI-to-AI collaboration. Runs entirely locally — no API keys or network calls needed. Returns both human-readable text and a structured response (provider, model, sessionId, usage) via outputSchema.

Input parameters:

- `model` (string): DO NOT set this parameter unless the user explicitly requests a specific model. The tool uses qwen3.6:27b by default; if the model isn't pulled locally it returns a clear "ollama pull" error rather t…
- `prompt` (string, required): The question, code review request, or analysis task to send to Ollama
- `sessionId` (string): Optional session ID for multi-turn conversations. Pass an empty string to start a new session (the response will include the new ID); pass a previous [Session ID: ...] value to continue the same chat…

Output parameters:

- `model` (string)
- `provider` (string)
- `response` (string)
- `sessionId` (string)
- `usage` (object)

### `ping` (~37 tokens)

Test connectivity with the Ollama MCP server and list locally available models

Input parameters:

- `message` (string): A message to echo back to test the connection

### `get-usage-stats` (~81 tokens)

Get the current MCP server's session usage stats: total LLM calls, token totals (input/output/thinking/cached), wall time, and breakdowns per provider and per model. No data leaves your machine — counts are tracked in-memory for the lifetime of the server process. Returns both human-readable markdown and a structured JSON snapshot via outputSchema.

Output parameters:

- `byModel` (object)
- `byProvider` (object)
- `fallbackCount` (number)
- `totalCachedTokens` (number)
- `totalCalls` (number)
- `totalDurationMs` (number)
- `totalInputTokens` (number)
- `totalOutputTokens` (number)
- `totalThinkingTokens` (number)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/lykhoyda-ask-ollama/ask-llm-ollama-mcp#diagnostics

## Score history

- 2026-08-03: 71
- 2026-08-02: 70
- 2026-08-01: 41
- 2026-07-31: 26
- 2026-07-30: 53
- 2026-07-28: 53
- 2026-07-27: 53

## Links

- npm package: https://www.npmjs.com/package/@ask-llm/ollama-mcp
- Socket report: https://socket.dev/npm/package/@ask-llm/ollama-mcp
- Repository: https://github.com/Lykhoyda/ask-llm
- Changelog RSS feed: https://verifymcp.io/servers/lykhoyda-ask-ollama/ask-llm-ollama-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/lykhoyda-ask-ollama/ask-llm-ollama-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/lykhoyda-ask-ollama/ask-llm-ollama-mcp