Rapp Agent Builder
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Connect it
Settings → Connectors → Add custom connector
URL: https://rapp-agent-builder.azurewebsites.net/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://rapp-agent-builder.azurewebsites.net/mcp{
"mcpServers": {
"rapp-agent-builder": {
"url": "https://rapp-agent-builder.azurewebsites.net/mcp"
}
}
}claude mcp add --transport http rapp-agent-builder https://rapp-agent-builder.azurewebsites.net/mcp{
"servers": {
"rapp-agent-builder": {
"type": "http",
"url": "https://rapp-agent-builder.azurewebsites.net/mcp"
}
}
}8 tools, verified live
get_agent_templateread-onlyUse this when the user wants to build an AI agent, assistant, bot or automation from an idea, a repetitive task, a process description, or a meeting transcript (for example: automate invoices, triage support tickets, summarize meetings, follow up with leads). Returns the official single-file agent template and its rules. Fill it in yourself from what the user described, then call check_agent on th
check_agentread-onlyChecks a finished agent file against the template rules (manifest, naming, class, perform method, no hardcoded secrets). Call it on every agent you write, fix anything it reports, and call it again until it passes.
find_agentsread-onlySearches the public agent registry (about 1,700 single-file agents) for agents that already do what the user wants, for example when they ask 'is there an AI tool for...' or want a ready-made automation instead of building one. Use it before building from scratch, or when the user asks whether an agent exists for a task.
get_agent_coderead-onlyReturns the full source of one agent from the registry, by its name (e.g. @bill/neuron_agent), so it can be read or adapted.
use_agent_hereread-onlyUse this right after an agent passes check_agent, or whenever the user wants to try an agent. Returns a short Python runner so you can run the agent in this chat with your own Python tool on the user's own data (pasted text, an uploaded spreadsheet, a list). Nothing to install. If Python is unavailable, apply the agent's logic yourself by reading its code. Ask the user for their real data, run the
how_to_run_agentread-onlyOptional, for later: how to keep an agent running on the user's own computer with the free Brainstem. Only offer this after the user has used the agent in the chat and wants to keep it.
share_agentread-onlyUse only when the user says they want to share an agent they built. Checks the agent and scans it for personal details (emails, phone numbers, secrets), then explains how to publish it to the free public agent registry under their own GitHub account. Nothing is published by this tool.
request_serviceUse when the person wants something none of these tools can do and says yes to passing the request on. Records only the request text they agree to send (no name or contact). Ask before calling it.
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