Raptr Agent Builder is answering right now. Last checked 8 min ago. It exposes 9 tools. Last commit 16 Oct 2026.
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Uptime history
21 hours of history
21 hours agonow
100.0%
Uptime 24h
75 of 75 checks
9
Tools
read from the server
1071 ms
Response time
average over 24h
0
Stars
last commit 16 Oct 2026
Nothing serious here today
Today is the operative word: we check Raptr Agent Builder every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.
run in your terminal
claude mcp add raptr-agent-builder --transport http https://api.airaptr.com/mcp~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"raptr-agent-builder": {
"url": "https://api.airaptr.com/mcp"
}
}
}~/.codex/config.toml
[mcp_servers.raptr-agent-builder]
url = "https://api.airaptr.com/mcp".cursor/mcp.json
{
"mcpServers": {
"raptr-agent-builder": {
"url": "https://api.airaptr.com/mcp"
}
}
}.vscode/mcp.json
{
"mcpServers": {
"raptr-agent-builder": {
"url": "https://api.airaptr.com/mcp"
}
}
}Available tools 9
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
agent
check_agent
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.
get_agent_code
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
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 template and its rules. Fill it in yourself from what the user described, then call check_agent on the finished file before showing it to the user. Then call use_agent_here so the user can use it right away in this chat.
agents
find_agents
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 agent exists for a task.
how
how_to_run_agent
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
rejection_rescue_preview
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 list and a reply draft to App Review) is a separate paid HTTP call; the result says its price and route.
request
request_service
Use 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.
share
share_agent
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
use_agent_here
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 unavailable, apply the agent's logic yourself by reading its code. Ask the user for their real data, run the agent, and show the result in plain words.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://api.airaptr.com/mcp | streamable-http | answering | 662 ms | 8 min ago |
Alternatives to Raptr Agent Builder
same job, measured the same wayRaptr Agent Builder
by kody-w
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Rapp Agent Builder
by kody-w
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Meeting Notes Transcript Summary
by theluckystrike
Turn meeting notes or transcripts into a clean structured summary document from chat.
RiverScript MCP v2
by riverscript
Bring your RiverScript transcripts of meetings, calls and interviews to any AI agent.
QuillHub
by quillhub
Meeting transcripts for AI agents: search calls, read who said what, transcribe files and links.
Inam MCP
by inamprotocol
Check an agent's INAM reputation before trusting it, and sign a receipt when work is done.
Content
by latentnoise
Turn URLs, files and text into media, transcripts, summaries, translations and PDF.
Openapi MCP
by asthanaji05
Turn any OpenAPI 3 spec into a working MCP server. One file, local (stdio) or remote (HTTP).
Raptr Agent Builder — questions
Answers built from our own checks of this server.
What can Raptr Agent Builder do?
It exposes 9 tools, read directly from the server on our last check. Among them: check_agent, find_agents, get_agent_code, get_agent_template, how_to_run_agent, rejection_rescue_preview and 3 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
Is Raptr Agent Builder working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 75 of 75 checks got a reply (100.0%), average response time 1071 ms. The bar chart above shows every period we have measured.
How do I connect Raptr Agent Builder?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Raptr Agent Builder need an API key?
No. Raptr Agent Builder completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Raptr Agent Builder?
It answers our handshake in 1071 ms on average, which is faster than 7% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Raptr Agent Builder open source?
We cannot say either way: written in JavaScript and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.