Wisepanel
Connects Claude to Wisepanel's multi-agent deliberation API, letting you run debates between Claude, Gemini, and Perplexity from your editor. You start a deliberation with a question and topology (small, medium, large panels), poll for streaming responses as each AI weighs in across multiple rounds, then optionally publish the finished debate to Wisepanel Commons for public sharing. Useful when you want diverse model perspectives on architecture decisions, content strategy, or research questions without manually switching between providers. The polling mechanism means you get real-time responses as the panel deliberates rather than waiting for everything to complete.
- GitHub stars
- 1
- tools
- 7
- auth
- Secret needed
- transport
- STDIO
- env vars
- 2
- last updated
- Feb 23, 2026
Tools
7 toolsPublic tool metadata for what this MCP can expose to an agent.
wisepanel_startStart a deliberation. Convenes a panel of AI models to debate a question from assigned perspectives. Returns run_id immediately.
Start a deliberation. Convenes a panel of AI models to debate a question from assigned perspectives. Returns run_id immediately.
No parameter schema in public metadata yet.
wisepanel_magic_promptRewrite a question to remove framing that would bias the panel toward a predetermined answer, while preserving intent.
Rewrite a question to remove framing that would bias the panel toward a predetermined answer, while preserving intent.
No parameter schema in public metadata yet.
wisepanel_pollLong-polls a running deliberation (waits up to 15s for new events). Returns panelist responses as they arrive.
Long-polls a running deliberation (waits up to 15s for new events). Returns panelist responses as they arrive.
No parameter schema in public metadata yet.
wisepanel_resultRetrieve full results of a completed deliberation. Only needed if you didn't poll it live.
Retrieve full results of a completed deliberation. Only needed if you didn't poll it live.
No parameter schema in public metadata yet.
wisepanel_cancelCancel a running deliberation.
Cancel a running deliberation.
No parameter schema in public metadata yet.
wisepanel_publishPublish a completed deliberation to the Wisepanel Commons. Makes it publicly viewable and shareable.
Publish a completed deliberation to the Wisepanel Commons. Makes it publicly viewable and shareable.
No parameter schema in public metadata yet.
wisepanel_list_runsList all deliberation runs in the current session.
List all deliberation runs in the current session.
No parameter schema in public metadata yet.
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WISEPANEL_API_KEY*secretYour Wisepanel API key. Generate one at wisepanel.ai/settings.
WISEPANEL_API_URLAPI base URL. Defaults to https://api.wisepanel.ai
Readme
Wisepanel MCP Server
The decision-intelligence layer between frontier models and high-consequence decisions.
Wisepanel takes a question, builds a panel of AI agents around it, and has them argue it out. You get back the positions that survived the argument, the reasoning behind each one, and the disagreements that never resolved.
This MCP server exposes that to Claude Code and any MCP-compatible client.
Why
A single model gives you one answer, fluently, whether or not it is right. That is fine for most questions. It is a bad property for the ones where being wrong is expensive.
The failure usually isn't ignorance. A model commits to a framing early and then argues for it, so you never see the objection, the alternative, or the assumption doing the work. Ask again and you get the same framing in different words. Ask three models separately and you get three confident answers with no way to choose between them.
How it works
Wisepanel builds disagreement in deliberately, at three levels.
Details
- Repository
- github.com/ikoskela/wisepanel-mcp
- Website
- wisepanel.ai
- Category
- AI & LLM Tools
- Package
wisepanel-mcp- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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