raptr-agent-builder

Name: raptr-agent-builder
Author: kody-w

MCP serverMCP

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

by kody-wrepository ↗homepage ↗v1.0.0

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Observed by Wellknown

Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability9/9 checks ok

30 days ago

when	check	result	http	latency	detail
3 h ago	mcp initialize	ok	200	395 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
10 h ago	mcp initialize	ok	200	97 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
17 h ago	mcp initialize	ok	200	460 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
23 h ago	mcp initialize	ok	200	97 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
30 h ago	mcp initialize	ok	200	100 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	386 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	444 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	122 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	100 ms	server agent-builder 1.2.0 · protocol 2025-06-18 · 8 tools

Tools observed via MCP handshake

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
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 a
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
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.
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 cha
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 c
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 ex
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

Declared by sources

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kind Official MCP Registry

name Official MCP Registry

repoUrl Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

Derived by Wellknown

Capabilities

Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.

ai.agent-discoveryAgent Discovery100%productivity.calendarCalendar & Scheduling91%ai.promptingPrompt Management53%security.secretsSecrets Management51%

Provenance

Where this record came from

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Official MCP Registryio.github.kody-w/raptr-agent-builder

first seen 2 d ago · fetched 2 d agoopen ↗

Field history (7 recent events)

2 d ago · declared · summary → "Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away."
2 d ago · declared · description → "Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away."
2 d ago · declared · publisherName → "kody-w"
2 d ago · declared · homepageUrl → "https://kody-w.github.io/airaptr/"
2 d ago · declared · repoUrl → "https://github.com/kody-w/airaptr"
2 d ago · declared · version → "1.0.0"
2 d ago · declared · protocols → ["mcp"]