Stunt Double MCP server
online · 100% uptimeio.stuntdouble/mcp-server·v1.16.0·1 starsDeploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
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Stunt Double tools
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How Stunt Double compares
Against every graded Developer tools MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 97/100
- higher than 98% of 1,119 Developer tools servers
- Uptime
- 100%
- of our recent checks; the typical remote Developer tools server answers 100%
- Response time
- 1,169 ms
- faster than 5% of 443 Developer tools servers
- GitHub stars
- 1
- more than 50% of 855 Developer tools servers
Release history: 5 versions in the registry since 2026-05-19, latest 2026-11-03, typically one every 20 days.
Install Stunt Double in Claude Code, Cursor or VS Code
claude mcp add --transport http mcp-server https://app.stuntdouble.io/api/mcp
What the publisher says
From the Stunt Double repository's README, as published. We do not edit it. Read it on GitHub
Stunt Double MCP Server
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
Stunt Double deploys AI agents with realistic user personas to validate user journeys at scale. Create actors, run automated workflows and checklists against any web app, and surface friction points before real users encounter them. Integrates with Claude, Linear, GitHub, and Slack.
This repository
This repo holds plugin and MCP configuration (.cursor-plugin/plugin.json, root mcp.json, server.json), plus skills, agents, and Cursor rules. There is no package.json and no runnable server here — the MCP endpoint is hosted at https://app.stuntdouble.io/api/mcp from the main Stunt Double codebase. See CONTRIBUTING.md for how to validate edits and avoid confusing this folder with a Node package.
Quick Start
Claude Code
claude mcp add --transport http stuntdouble https://app.stuntdouble.io/api/mcpClaude Desktop
Go to Settings → Connectors → Add and paste:
https://app.stuntdouble.io/api/mcpCursor / Windsurf
Add the mcpServers block below to an MCP config file:
- Project-local (recommended for this repo clone): .cursor/mcp.json at the root of your project.
- Global (all projects): ~/.cursor/mcp.json on macOS/Linux (see Cursor MCP docs for your OS).
{
"mcpServers": {
"stuntdouble": {
"url": "https://app.stuntdouble.io/api/mcp"
}
}
}Use only url for remote servers (Streamable HTTP is negotiated automatically). Extra keys such as "type": "streamable-http" are not part of Cursor's documented mcp.json shape and can break plugin validation.
Cursor marketplace (one-click install) expects a plugin layout: .cursor-plugin/plugin.json plus root mcp.json. Those files are in this repo. The plugin logo path is assets/logo.png (bundled in this repository). The server.json file is the separate MCP registry manifest for mcp-publisher and directory listings; Cursor's installer does not use it.
Authentication
Authentication is handled automatically via OAuth 2.1 with PKCE. The first time your AI client connects, a browser window will open for you to sign in and authorise access to your Stunt Double account. No API keys or tokens required.
For Cursor, the OAuth redirect URI is fixed to cursor://anysphere.cursor-mcp/oauth/callback (docs).
What a connection can reach
The server acts as you, never more. Every tool resolves the workspace it is being asked about and checks your membership of it before doing anything, so a connection reaches exactly the workspaces list_workspaces returns for you, and an archived workspace reaches nothing. A workspace you are not a member of answers the same way one that does not exist does: "not found".
That holds for ids too, not just the workspace_id you pass. A tool that takes another object's id (a checklist for an automation step, an actor for an interview participant) checks that object belongs to the same workspace before storing or running it, and refuses with "not found in this workspace" otherwise. Refusals never say which workspace an id does belong to.
Scopes narrow this further, never widen it. The consent screen names what the connection asked for, and a token granted mcp:read is not shown the write or run tools at all: they are absent from tools/list rather than present and failing.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Stunt Double: common questions
- Is Stunt Double MCP server safe?
- Yes, by our scan: it is graded A (97/100). Read the Stunt Double safety report
- How do I install Stunt Double?
- It runs remotely at app.stuntdouble.io. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Stunt Double need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Stunt Double maintained?
- The last commit was 41 days ago (2026-09-24). The latest release is v1.16.0.
- Is Stunt Double up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Stunt Double?
- Servers from other publishers that do the same job: walkerOS Flow MCP server, Ateam MCP server and BPMN Kit MCP server. Compare all Stunt Double alternatives.
- How does Stunt Double compare with other Developer tools MCP servers?
- safety score 97/100 (higher than 98% of 1,119 Developer tools servers); uptime 100% (of our recent checks; the typical remote Developer tools server answers 100%); response time 1,169 ms (faster than 5% of 443 Developer tools servers). Full comparison.
Alternatives to Stunt Double
Same job from other publishers: the closest match first, then the best rated.
walkerOS FlowBuild, validate, simulate, and deploy walkerOS event pipelinesnot reviewedEstablishedB- AteamBuild, validate, and deploy multi-agent AI solutions from any AI environment.not reviewedGrowingA
- BPMN KitCreate, validate, simulate and deploy Camunda 8 BPMN processes, forms and DMN from an agent.not reviewedGrowingB
- OmnaraDeploy durable AI agents with Omnara, an open-source managed-agent platform.not reviewedEstablishedA
- Metaplex Agent RegistryDeploy AI agents on-chain on Solana with an EIP-8004 identity. Deploy fee funds $THREE buybacks.not reviewedEstablishedB