MCP server
Raptr Agent Builder
com.airaptr/raptr-agent-builder
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Working at last checkVerified publisher: airaptr.comAbout 1,439 tokens per request once connected9 tools
https://api.airaptr.com/mcp
At a glance
- Type
- MCP server
- Publisher
- airaptr.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 1,439 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http raptr-agent-builder https://api.airaptr.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.raptr-agent-builder] url = "https://api.airaptr.com/mcp"
Gemini CLI
{"mcpServers":{"raptr-agent-builder":{"httpUrl":"https://api.airaptr.com/mcp"}}}
Cursor
{"mcpServers":{"raptr-agent-builder":{"url":"https://api.airaptr.com/mcp"}}}
VS Code
{"servers":{"raptr-agent-builder":{"type":"http","url":"https://api.airaptr.com/mcp"}}}
Antigravity
agy mcp add raptr-agent-builder https://api.airaptr.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"raptr-agent-builder","server_url":"https://api.airaptr.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"raptr-agent-builder","server_url":"https://api.airaptr.com/mcp"}
Tools
check_agent~158 tokens
Checks 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_agents~188 tokens
Searches 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 agenget_agent_code~98 tokens
Returns the full source of one agent from the registry, by its name (e.g. @bill/neuron_agent), so it can be read or adapted.get_agent_template~184 tokens
Use 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 thow_to_run_agent~138 tokens
Optional, 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.rejection_rescue_preview~190 tokens
Use 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 listshare_agent~169 tokens
Use 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.use_agent_here~188 tokens
Use 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 unavaila
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