com.airaptr/raptr-agent-builder

Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.

Endpointhttps://api.airaptr.com/mcp (streamable-http)
Registry version1.3.0
Now9 tools · grade A (96) · pin ts_802115e4389ce56694e088eac2d0f35f · protocol 2025-06-18
First / last listed2026-10-29 01:52 UTC / 2026-10-29 01:52 UTC
Grade over time2026-10-29: A (96), 9 tools

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Timeline

First listing · 2026-10-29 01:52 UTC
9 tools, grade A (96)

Tools: get_agent_template check_agent find_agents get_agent_code use_agent_here how_to_run_agent share_agent rejection_rescue_preview request_service

Current tools (9)

get_agent_templateUse 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
params: none
check_agentChecks 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.
params: filename*, code*
find_agentsSearches the open 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.
params: query*, limit
get_agent_codeReturns the full source of one agent from the registry, by its name (e.g. @bill/neuron_agent), so it can be read or adapted.
params: name*
use_agent_hereUse 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
params: filename
how_to_run_agentOptional, 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.
params: os, filename
share_agentUse 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 open agent registry under their own GitHub account. Nothing is published by this tool.
params: filename*, code*
rejection_rescue_previewUse when the user pastes a rejection message from Apple App Review (it cites guidelines such as "Guideline 5.1.1(i)"). Free. Returns each cited guideline section it recognizes, with its title and what Apple means by it, and lists sections it does not know. The full version (likely causes, a fix list and a reply draft to App Review) is a separate paid HTTP call; the result says its price and route.
params: text*
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.
params: request*

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.