BeyondNoise exposes an MCP (Model Context Protocol) server that lets AI clients like Claude Desktop, Cursor, and opencode interact with your workspaces, research, and brand context programmatically.
How it works
The MCP server is available at:
Your AI client connects to the endpoint, authenticates, and can then call any of the 8 available tools. All tool calls execute as your authenticated user.
Connecting your AI client
Claude Desktop
Add the following to your claude_desktop_config.json:
Cursor
Add the server in Settings > MCP or edit .cursor/mcp.json:
Call list_workspaces first to get valid workspaceId values for the other tools.
list_workspaces
Lists all workspaces the authenticated user can access. Returns id, name, slug, website, and role for each workspace.
Parameters: none
run_research
Runs an ad-hoc research query for a workspace. Returns the generated content, citations, and the result ID.
read_research
Reads a saved ad-hoc research result by ID, including its message thread.
create_continuous_research
Creates a continuous research topic with a schedule and runs the first research immediately. Returns content, citations, and the topic ID.
update_continuous_research
Updates an existing continuous research topic. Only provided fields are updated.
read_continuous_research
Reads a continuous research topic by ID, including its schedule and the latest result.
read_brand_context
Reads the brand context prompt for a workspace.
update_brand_context
Creates or updates the brand context prompt for a workspace.
Example usage
Once connected, you can ask your AI client things like:
- “List my workspaces”
- “Run a research on my top 3 competitors’ pricing strategies”
- “Create a weekly continuous research tracking AI features in my competitors’ products”
- “Read the brand context for my workspace”
- “Update my brand context to emphasize our focus on enterprise customers”
The AI client will automatically select the right tool and parameters based on your request.