io.stuntdouble/mcp-server

up checked 2026-11-11T11:37:47.500Z

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Publisher-provided title

Stunt Double

Publisher-provided description

Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.

Summary by lookupd

Deploys AI user personas with browsers and email inboxes to run checklists and interviews that surface UX friction in product user journeys.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http server https://app.stuntdouble.io/api/mcp

Codex, remote (streamable-http)

codex mcp add server --url https://app.stuntdouble.io/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "server": {
      "url": "https://app.stuntdouble.io/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 69)

Publisher-provided text

get_me Get the account this connection is acting as: id, email, name, timezone and where notifications reach them. Use `timezone` when creating a scheduled workflow ra
list_workspaces List the workspaces you belong to, with your role in each. Call this first: almost every other tool needs a workspace_id from here.
get_workspace Get workspace details by ID or slug, including the admin-set controls that decide what runs in it may do. `settings` is a ceiling, never a grant: a network poli
list_workspace_members List the members of a workspace with their role, name and join date. Use it to resolve the user ids that runs, feedback and assignments carry.
search Search everything in a workspace (projects, actors, checklists, interviews, automations, issues, goals, feedback, knowledge, insights, design reviews, resources
list_projects List the live projects in a workspace, most recently opened first. Call this after list_workspaces and match a target URL or product name against these before c
get_project Get one project (the product tracked by checklists, workflows, interviews and feedback), including its URL, audience and product description. Archived projects
create_project Create a project (a product to track with checklists, workflows, interviews and feedback). Call list_projects first and reuse a matching project rather than cre
list_project_mcp_servers List the third-party MCP servers attached to a project and the tools each allows. Configuration only: those tools are not callable here, but an actor in a run (
list_workspace_guidelines List the workspace's whole library of standing rules (design system, tone of voice, brand, compliance, accessibility, shared knowledge), with how many projects
add_workspace_guideline Add a standing rule to the workspace library. Call list_workspace_guidelines first so you do not add a near-duplicate. Attach it to the projects it applies to w
update_workspace_guideline Update a rule in the workspace library, or switch it off. Every project holding it is held to the new wording, so prefer editing the shared rule over adding a n
remove_workspace_guideline Remove a rule from the workspace library permanently. This detaches it from every project holding it, so prefer `update_workspace_guideline` with `enabled: fals
list_project_guidelines List the standing rules this project is held to: the workspace library rules it has attached. Read these before writing checks, interview guides or design feedb
add_project_guideline Add a standing rule and hold this project to it (a design-system rule, a tone-of-voice rule, a compliance obligation, or shared knowledge). Every checklist run,
set_project_guideline Attach a library rule to a project, detach it, or switch it off for this project alone. Attaching is how one workspace rule comes to hold for several projects w
list_actors List active actors (persistent AI user personas) in a workspace, oldest first. Prefer reusing an existing actor over creating a new one; pass an id from here to
get_actor Get an actor's details: description, system prompt, capabilities, and status. list_actor_knowledge has the knowledge it carries into runs.
create_actor Create an actor: a persistent AI user persona with its own browser, email inbox (for OTP and magic-link flows), and memory. The description shapes who the perso
update_actor Update an actor's name, description, system prompt, capabilities, or status. Only the fields you pass change; at least one is required. Set status to "archived"
list_actor_knowledge List what an actor knows, oldest first. Each entry has a kind: expertise and process entries are listed by title in every run and the actor reads one when the t
add_actor_knowledge Add knowledge to an actor. Choose the kind: expertise for a skill or standard it judges by in every run (brand, tone of voice, design system, compliance, access
remove_actor_knowledge Remove a knowledge entry from an actor permanently, so future runs no longer use it. Find the entry's id with list_actor_knowledge.
list_conversations List chat conversations with actors in a workspace, most recently active first, optionally filtered to one actor. Excludes the workspace assistant's conversatio
get_conversation Get an actor conversation with its full message history, oldest message first. Find conversation ids with list_conversations.
list_checklists List the checklists in a workspace, with their target URL, actor, check count and a recent run. Check here before creating a new checklist: re-running an existi
get_checklist Get a checklist: its target URL, instructions, run settings, every check (with the `id` update_checklist needs to edit one in place) and its 10 most recent runs
get_checklist_run Get a checklist run: per-check results with evidence, score, verdict and the change since the previous run. Poll after run_checklist every 30 to 60 seconds unti
flag_check_verdict Correct a wrong passed or failed verdict on one check: pass the result_id from get_checklist_run and a note on what was actually true. Later runs use it as cali
run_checklist Run a checklist (async): the actor drives a real browser through the product and judges each check, and may use the project's attached MCP servers (list_project

Details

Version: 1.17.0
Transports: streamable-http
Uptime (7 days): 100%
Median latency: 2181 ms
First indexed: 2026-11-01T10:03:27.379Z
Last seen in registry: 2026-11-04T22:17:20.055Z
Repository: https://github.com/stunt-double/stuntdouble-mcp
Website: https://www.stuntdouble.io

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Last crawl: 2026-11-11T16:17:25.167Z
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