Stunt Double for LangChain
io.stuntdouble/mcp-server
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
client:LangChain
transport:streamable-http
tools:69
Install Stunt Double in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp-server": {
"transport": "streamable_http",
"url": "https://app.stuntdouble.io/api/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- get_me
- list_workspaces
- get_workspace
- list_workspace_members
- search
- list_projects
- get_project
- create_project
- list_project_mcp_servers
- list_workspace_guidelines
- add_workspace_guideline
- update_workspace_guideline
- remove_workspace_guideline
- list_project_guidelines
- add_project_guideline
- set_project_guideline
- list_actors
- get_actor
- create_actor
- update_actor
- list_actor_knowledge
- add_actor_knowledge
- remove_actor_knowledge
- list_conversations