# io.github.spranab/brainstorm-mcp (npm · brainstorm-mcp)

Multi-model AI brainstorming debates with code review and quick perspectives

- Trust score: 64/100 (medium)
- Change this week: +21
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `brainstorm-mcp`: 64/100 (this document), [markdown](https://verifymcp.io/servers/spranab-brainstorm-mcp/brainstorm-mcp.md), [page](https://verifymcp.io/servers/spranab-brainstorm-mcp/brainstorm-mcp)

## Channel facts

- Registry: `npm`
- Package: `brainstorm-mcp`
- Version: `1.5.4`
- 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 (96 of 100), 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 (96 of 100), 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 97 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 54/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1327 tokens (~189/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 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.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add spranab-brainstorm-mcp -- npx -y brainstorm-mcp
```

### Codex

```bash
codex mcp add spranab-brainstorm-mcp -- npx -y brainstorm-mcp
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add spranab-brainstorm-mcp --command npx --arg -y --arg brainstorm-mcp
```

### Hermes

```yaml
mcp_servers:
  spranab-brainstorm-mcp:
    command: "npx"
    args: ["-y", "brainstorm-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "spranab-brainstorm-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "brainstorm-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 64, +3)

- [functional improvement] Stability: unverified → 0.23

### 2026-08-02 (score 61, +56)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional improvement] Tool coverage: unverified → 100
- [functional] Licence: MIT

### 2026-08-01 (score 5, −14)

- [functional regression] Tool coverage: 100 → unverified

### 2026-07-31 (score 19, −24)

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

### 2026-07-30 (score 43, +19)

- [functional improvement] Tool coverage: unverified → 100

### 2026-07-28 (score 24, −19)

- [functional regression] Tool coverage: 100 → unverified
- [functional] First check of Schema quality: unverified

### 2026-07-27 (score 43)

First indexed and scored.

## MCP tools (7)

### `brainstorm` (~535 tokens)

Run a multi-round brainstorming debate between multiple AI models. IMPORTANT: Before calling this tool, you MUST ask the user to choose a mode:

1\. **API mode** — Uses external API keys to call models (OpenAI, Gemini, DeepSeek, etc.). Best when the user has API keys configured.
2\. **Hosted mode** — No API keys needed. You execute prompts using sub-agents with models available in your environment (opus/sonnet/haiku, GPT, Gemini, etc.). Same model can be used multiple times — each run produces different perspectives.

Present these two options to the user with a one-liner explanation, then proceed based on their choice.

For API mode: set mode='api'. When participate=true (default), YOU also participate as a debater alongside external models via brainstorm_respond.
For Hosted mode: set mode='hosted'. Ask the user which models to use, then spawn sub-agents for each model, collect responses, and call brainstorm_collect.

Input parameters:

- `context` (string): Optional context to ground the debate — code snippets, PR diffs, error logs, architecture docs, etc. Models will see this alongside the topic.
- `mode` (string): Execution mode. Must be provided — if not, the tool will return options for the user to choose. 'api' — MCP server calls model APIs directly using configured API keys. 'hosted' — No API keys needed.…
- `models` (array): Optional: specific models to use as 'provider:model' (e.g. 'openai:gpt-4o'). If not provided, all configured providers are used with their default models.
- `participate` (boolean): Whether Claude should actively participate as a debater in each round (default: true). Set to false for a non-interactive debate between external models only.
- `rounds` (integer): Number of debate rounds (default: 3)
- `style` (string): Debate style. 'freeform' (default): open brainstorming. 'redteam': adversarial — models find flaws, risks, and weaknesses. 'socratic': probing questions that expose assumptions and push for deeper un…
- `synthesizer` (string): Optional: model for final synthesis as 'provider:model'. Defaults to the first model.
- `systemPrompt` (string): Optional system prompt to guide the brainstorming style or constraints
- `topic` (string, required): The topic, question, or prompt to brainstorm about

### `brainstorm_respond` (~132 tokens)

Submit YOUR (Claude's) response for the current round of an interactive brainstorm session. After the brainstorm tool returns external models' responses, call this tool with your substantive contribution. Read all responses carefully and engage with specific points — agree, disagree, build upon, or challenge ideas. Do not just summarize. After your response, the next round runs automatically (or synthesis if final round).

Input parameters:

- `response` (string, required): Your substantive contribution to this round of the debate. Engage deeply with the other models' responses. Minimum 50 characters.
- `session_id` (string, required): The session ID returned by the brainstorm tool

### `brainstorm_collect` (~155 tokens)

Submit collected model responses for a hosted brainstorm session. After receiving prompts from `brainstorm` (mode='hosted') or a previous `brainstorm_collect` call, execute each prompt by spawning a sub-agent for EACH model (use the model parameter to select the right model, e.g., model='sonnet' or model='haiku'). Collect all responses and submit them here. This tool returns either: (1) the next round's prompt to execute, (2) a synthesis prompt for a single model, or (3) the final formatted debate result when complete.

Input parameters:

- `responses` (array, required): Array of model responses collected by the host
- `session_id` (string, required): The session ID from the brainstorm tool

### `brainstorm_quick` (~158 tokens)

Get instant multi-model perspectives on any question — no debate rounds, no synthesis delay. Fires all models in parallel and returns a compact comparison. Under 10 seconds. Use this for quick second opinions, snap decisions, or when you want diverse perspectives fast. For deeper analysis with multiple rounds and synthesis, use the `brainstorm` tool instead.

Input parameters:

- `context` (string): Optional context — code snippets, error logs, etc. Models will see this alongside the topic.
- `models` (array): Optional: specific models as 'provider:model'. If not provided, all configured providers are used.
- `style` (string): Perspective style (default: freeform)
- `topic` (string, required): The question or topic to get quick perspectives on

### `brainstorm_review` (~189 tokens)

Multi-model code review. Pass a diff and get structured findings with severity, file/line references, and a verdict (approve / approve with warnings / needs changes). Multiple models review independently, then findings are synthesized and deduplicated. Use this for PR reviews, code audits, or pre-commit checks.

Input parameters:

- `description` (string): Optional: PR description or commit message
- `diff` (string, required): The unified diff to review (e.g., output of `git diff`)
- `focus`: Optional: focus areas for the review. Default: all categories.
- `instructions` (string): Optional: repo-specific review instructions (e.g., 'we use strict null checks', 'focus on SQL injection risks')
- `models` (array): Optional: specific models as 'provider:model'. Default: all configured providers.
- `title` (string): Optional: PR title or change summary for context

### `list_providers` (~21 tokens)

List all configured AI providers and their default models for brainstorming.

### `add_provider` (~137 tokens)

Add a new AI provider for brainstorming. Supports any OpenAI-compatible API.

Input parameters:

- `apiKeyEnvVar` (string, required): Environment variable name for the API key. Use 'NONE' if no key required.
- `baseURL` (string, required): API base URL, e.g. 'http://localhost:11434/v1' for Ollama
- `defaultModel` (string, required): Default model to use for this provider, e.g. 'llama3', 'mixtral-8x7b-32768'
- `name` (string, required): Provider name, e.g. 'groq', 'ollama', 'mistral'

## Diagnostics

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

## Score history

- 2026-08-03: 64
- 2026-08-02: 61
- 2026-08-01: 5
- 2026-07-31: 19
- 2026-07-30: 43
- 2026-07-28: 24
- 2026-07-27: 43

## Links

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