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

Unified MCP server — auto-detects Gemini, Codex, Claude, Ollama, and Antigravity providers

- Trust score: 70/100 (medium)
- Change this week: +17
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@ask-llm/mcp`: 70/100 (this document), [markdown](https://verifymcp.io/servers/lykhoyda-ask-llm/ask-llm-mcp.md), [page](https://verifymcp.io/servers/lykhoyda-ask-llm/ask-llm-mcp)

## Channel facts

- Registry: `npm`
- Package: `@ask-llm/mcp`
- Version: `0.6.2`
- 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**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (99 of 103), 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 (99 of 103), 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 7 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 81/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 639 tokens (~106/item across 6 items; 5 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 (80% 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-llm -- npx -y @ask-llm/mcp
```

### Codex

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

### opencode

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

### OpenClaw

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

### Hermes

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

### Other

```json
{
  "mcpServers": {
    "lykhoyda-ask-llm": {
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/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 70, +4)

- [functional improvement] Stability: unverified → 0.27

### 2026-08-02 (score 66, +20)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Schema quality: 100 → unverified
- [functional regression] Capabilities: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] Schema quality: unverified → good
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] License: unverified → pass
- [functional] Licence: MIT

### 2026-08-01 (score 46, +20)

- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] MCP protocol: unverified → pass

### 2026-07-31 (score 26, 0)

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

### 2026-07-30 (score 26, −27)

- [functional regression] Tool coverage: 100 → unverified
- [functional regression] Schema quality: 100 → unverified
- [functional improvement] Dependency health: unverified → partial

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

First indexed and scored.

## MCP tools (5)

### `ask-llm` (~283 tokens)

Send a prompt to an LLM provider (Codex, Claude, Antigravity, Ollama, Gemini). Specify which provider to use. Each provider auto-selects its best model with fallback on errors. Returns both human-readable text and a structured response (provider, model, sessionId, usage) via outputSchema.

Input parameters:

- `model` (string): Override the default model. Usually not needed.
- `prompt` (string, required): The question, code review request, or analysis task to send
- `provider` (string, required): Which LLM provider to use. Available: "gemini" (Gemini, default model: gemini-3.1-pro-preview), "codex" (Codex, default model: gpt-5.6-sol), "claude" (Claude, default model: opus), "ollama" (Ollama,…
- `sessionId` (string): Optional session ID to resume a prior conversation. Pass the [Session ID: ...] or [Thread ID: ...] value from a previous response. Each provider handles sessions natively (Claude/Gemini --resume, Cod…

Output parameters:

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

### `ping` (~30 tokens)

Test connectivity with the MCP server

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)

### `multi-llm` (~158 tokens)

Dispatch the same prompt to multiple LLM providers in parallel and return all responses in one structured payload. Use when you want to compare answers across Codex, Claude, Antigravity, Ollama, and Gemini, or when you want a multi-provider sanity check on a question. Returns per-provider success/failure, response text, model, sessionId, and token usage. Each call is fresh — no session continuity (use ask-llm for individual session-bearing calls).

Input parameters:

- `prompt` (string, required): The prompt to send to all selected providers in parallel.
- `providers` (array): Which providers to dispatch to. Available: gemini, codex, claude, ollama, antigravity. Defaults to all available providers.

Output parameters:

- `dispatchedAt` (string)
- `failureCount` (number)
- `results` (array)
- `successCount` (number)
- `totalDurationMs` (number)

### `diagnose` (~56 tokens)

Run a self-diagnosis of the MCP server's environment: Node version, resolved PATH, provider CLI presence and versions, key env vars. Returns a structured report and a human-readable summary. Read-only; never spawns LLM calls.

Output parameters:

- `checks` (array)
- `environment` (object)
- `generatedAt` (string)
- `providers` (array)
- `status` (string)

## Diagnostics

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

## Score history

- 2026-08-03: 70
- 2026-08-02: 66
- 2026-08-01: 46
- 2026-07-31: 26
- 2026-07-30: 26
- 2026-07-28: 53
- 2026-07-27: 53

## Links

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