io.github.spranab/brainstorm-mcp
NPM · BRAINSTORM-MCP · SCANNED AUG 3
Multi-model AI brainstorming debates with code review and quick perspectives
Available components
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. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (96 of 100), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (96 of 100), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 97 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability54
- AI-judged instruction clarity (good).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · brainstorm-mcp
claude mcp add spranab-brainstorm-mcp -- npx -y brainstorm-mcp
codex mcp add spranab-brainstorm-mcp -- npx -y brainstorm-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"spranab-brainstorm-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"brainstorm-mcp"
],
"enabled": true
}
}
} openclaw mcp add spranab-brainstorm-mcp --command npx --arg -y --arg brainstorm-mcp
mcp_servers:
spranab-brainstorm-mcp:
command: "npx"
args: ["-y", "brainstorm-mcp"] {
"mcpServers": {
"spranab-brainstorm-mcp": {
"command": "npx",
"args": [
"-y",
"brainstorm-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Aug 26 +3
- Stability: unverified → 0.23 ▲ functional
- 2 Aug 26 +56
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- Licence: MIT functional
- 1 Aug 26 −14
- Tool coverage: 100 → unverified ▼ functional
- 31 Jul 26 −24
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 +19
- Tool coverage: unverified → 100 ▲ functional
- 28 Jul 26 −19
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 43
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 96 packages
96 packages in the resolved dependency tree · 96 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
add_provider ~137
Add a new AI provider for brainstorming. Supports any OpenAI-compatible API.
| Name | Type | Req | Description |
|---|---|---|---|
| apiKeyEnvVar | string | yes | Environment variable name for the API key. Use 'NONE' if no key required. |
| baseURL | string | yes | API base URL, e.g. 'http://localhost:11434/v1' for Ollama |
| defaultModel | string | yes | Default model to use for this provider, e.g. 'llama3', 'mixtral-8x7b-32768' |
| name | string | yes | Provider name, e.g. 'groq', 'ollama', 'mistral' |
No output schema declared.
No examples provided.
brainstorm ~535
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | The topic, question, or prompt to brainstorm about |
No output schema declared.
No examples provided.
brainstorm_collect ~155
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.
| Name | Type | Req | Description |
|---|---|---|---|
| responses | array | yes | Array of model responses collected by the host |
| session_id | string | yes | The session ID from the brainstorm tool |
No output schema declared.
No examples provided.
brainstorm_quick ~158
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | The question or topic to get quick perspectives on |
No output schema declared.
No examples provided.
brainstorm_respond ~132
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).
| Name | Type | Req | Description |
|---|---|---|---|
| response | string | yes | Your substantive contribution to this round of the debate. Engage deeply with the other models' responses. Minimum 50 characters. |
| session_id | string | yes | The session ID returned by the brainstorm tool |
No output schema declared.
No examples provided.
brainstorm_review ~189
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.
| Name | Type | Req | Description |
|---|---|---|---|
| description | string | — | Optional: PR description or commit message |
| diff | string | yes | 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 |
No output schema declared.
No examples provided.
list_providers ~21
List all configured AI providers and their default models for brainstorming.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.