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com.airaptr/raptr-agent-builder

REMOTE · API.AIRAPTR.COM

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

Available components

67 Trust /100

Last scanned (8 hours ago)

Scores higher than 57% of remote servers

Reachable. Last reached 17 Oct 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability100
Schema Quality & AI Usability81
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 975 tokens (~108/item across 9 items; 9 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
  • Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 17 Oct 26 +1
    • Stability: unverified → 0.03 ▲ functional
  • 16 Oct 26 66

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 17 Oct 2026 · Probed https://api.airaptr.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_256_GCM_SHA384 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=api.airaptr.com CN=GeoTrust TLS RSA CA G1,OU=www.digicert.com,O=DigiCert Inc,C=US 15 Oct 2026 15 Apr 2027 RSA 2048 SHA256-RSA 19f3fe1a5244c0ab78ad080fcd44fdc
SANs: api.airaptr.com
CN=GeoTrust TLS RSA CA G1,OU=www.digicert.com,O=DigiCert Inc,C=US (CA) CN=DigiCert Global Root G2,OU=www.digicert.com,O=DigiCert Inc,C=US 2 Nov 2017 2 Nov 2027 RSA 2048 SHA256-RSA d07782a133fc6f9a57296e131ffd179

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.airaptr.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
airaptr.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.airaptr.com/mcp Verified 200
http (plaintext) http://api.airaptr.com/mcp Inconclusive 405
MCP tools · 9 exposed · ~868 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
check_agent ~93

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.

NameTypeReqDescription
codestringyesThe full Python source of the agent file
filenamestringyesFile name, must end with _agent.py, e.g. invoice_triage_agent.py

No output schema declared.

No examples provided.

find_agents ~113

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.

NameTypeReqDescription
limitinteger–How many results, default 5
querystringyesPlain words describing the task, e.g. 'summarize sales calls'

No output schema declared.

No examples provided.

get_agent_code ~60

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.

NameTypeReqDescription
namestringyesRegistry name, e.g. @kody/memory_agent

No output schema declared.

No examples provided.

get_agent_template ~115

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

how_to_run_agent ~76

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.

NameTypeReqDescription
filenamestring–The agent file name, if known
osstring–The user's operating system

No output schema declared.

No examples provided.

rejection_rescue_preview ~120

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.

NameTypeReqDescription
textstringyesApple's rejection message, as received (up to 20 KB)

No output schema declared.

No examples provided.

request_service ~70

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.

NameTypeReqDescription
requeststringyesWhat they want, in a sentence, as they agreed to send it

No output schema declared.

No examples provided.

share_agent ~96

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.

NameTypeReqDescription
codestringyesThe full Python source of the agent
filenamestringyesAgent file name, ending in _agent.py

No output schema declared.

No examples provided.

use_agent_here ~125

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.

NameTypeReqDescription
filenamestring–The agent file name, e.g. invoice_triage_agent.py

No output schema declared.

No examples provided.

Install

How do I install the com.airaptr/raptr-agent-builder MCP server?

com.airaptr/raptr-agent-builder is a hosted endpoint at https://api.airaptr.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.airaptr.com

# add to Claude Code
claude mcp add --transport http com-airaptr-raptr-agent-builder 'https://api.airaptr.com/mcp'
Common questions

What is the com.airaptr/raptr-agent-builder MCP server?

com.airaptr/raptr-agent-builder is an MCP server listed in the public MCP registry as com.airaptr/raptr-agent-builder. Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away. This page covers its hosted endpoint (https://api.airaptr.com/mcp).

Is the com.airaptr/raptr-agent-builder MCP server safe to use?

com.airaptr/raptr-agent-builder scores 67 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the com.airaptr/raptr-agent-builder MCP server expose?

com.airaptr/raptr-agent-builder exposes 9 tools: get_agent_template, check_agent, find_agents, get_agent_code, use_agent_here, and 4 more. Their descriptions and schemas cost roughly 868 tokens of context every time the server is loaded.

Does the com.airaptr/raptr-agent-builder MCP server require authentication?

No. We connected to com.airaptr/raptr-agent-builder without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the com.airaptr/raptr-agent-builder MCP server still maintained?

com.airaptr/raptr-agent-builder is still listed as active in the MCP registry. We last reached this channel on 17 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.