Use a job-scoped MCP server

Connect AI agents to a Workerbee job or Success Profile via a dedicated MCP endpoint, including Claude Code, Claude Desktop, and Cursor.

Every Workerbee job has a dedicated MCP server that gives AI agents direct access to that job’s Success Profile, candidate pipeline, and ranking evidence through the standardized Model Context Protocol (MCP).

There is one way to connect: a Remote MCP server — a dedicated MCP endpoint you connect directly to a job. The endpoint’s tools are scoped to that job only — an agent connected this way cannot see or act on other jobs in your portfolio. Additional capabilities will be added in future releases.

Endpoint

https://mcp.workerbee.ai/api/v1/mcp/jobs/<YOUR_JOB_ID>

Prerequisites

• WORKERBEE_API_KEY — your Workerbee API key
• YOUR_JOB_ID — the job’s ID, as shown in the Workerbee console

Use with Claude Code

claude mcp add --transport http my-job \
https://mcp.workerbee.ai/api/v1/mcp/jobs/<YOUR_JOB_ID> \
--header "Authorization: Bearer <WORKERBEE_API_KEY>"

Verify with claude mcp get my-job. Tools appear in Claude Code’s chat, scoped to that job.

Use with Claude Desktop

1. Settings → Developer → Edit Config, add:
   jsonCopy

   {
     "mcpServers": {
       "workerbee-job": {
         "type": "http",
         "url": "https://mcp.workerbee.ai/api/v1/mcp/jobs/<YOUR_JOB_ID>",
         "headers": {
           "Authorization": "Bearer <WORKERBEE_API_KEY>"
         }
       }
     }
   }

2. Save and restart. The hammer (MCP) icon appears on the new chat screen.

Use with Cursor

1. Create .cursor/mcp.json in your project root if it doesn’t exist.
2. Add:
   jsonCopy

   {
     "mcpServers": {
       "workerbee-job": {
         "url": "https://mcp.workerbee.ai/api/v1/mcp/jobs/<YOUR_JOB_ID>",
         "headers": {
           "Authorization": "Bearer <WORKERBEE_API_KEY>"
         }
       }
     }
   }

3. Save. Tools appear in Cursor’s chat, scoped to that job.

Next steps

• Use the Workerbee MCP server — connect across your whole portfolio instead of a single job.
• Learn about Model Context Protocol and how it enables AI agents to interact with tools and data.
• Success Profiles — the evaluation criteria behind a job’s rankings.