Koskamo

Raptr MCP

Raptr provides free, read-only MCP servers for building single-file AI agents, finding existing agents, and verifying world data. It supports agent creation, code retrieval, and domain checks without requiring accounts or API keys.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Raptr MCP logo, by kody-wCommunity listingStreamable HTTPNo sign-inEndpoint checked 2026-11-06Published by kody-w
MCP endpoint (Streamable HTTP)
https://airaptr-api.azurewebsites.net/mcp
Vendor documentation

What its tools do

9 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

Read-only (8)

Can change data (1)

9 of 9 have a description · 9 of 9 declare behavior hints · 8 of 8 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Build a single-file AI agent from an idea
  • Find ready-made agents from a registry
  • Verify world numbers with SHA-256 fingerprint
  • Check domain availability and registration

Source and maintenance

Community listingRegistry 1.0.0
mcp-registry: io.github.kody-w/raptr-agent-builder@1.0.0Source repositoryProject website
Maintenance checked

Protocol and capabilities

Server
agent-builder 1.3.0
MCP protocol negotiated in check
2025-06-18
Tools
9 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

Build single-file AI agents people can use immediately: get_agent_template, write the agent, check_agent until it passes, then use_agent_here to run it in this chat on the user's own data. Always give the user the complete agent file after check_agent passes. Nothing to install. Use find_agents to reuse existing ones. how_to_run_agent is only for keeping an agent on their own computer later. share_agent only when the user asks to share. rejection_rescue_preview explains an App Store rejection message (free).

Tools

9 advertised

get_agent_template — Get the agent template
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

get_agent_template input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
get_agent_template annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
check_agent — Check an agent file
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

check_agent input schema
{
  "type": "object",
  "required": [
    "filename",
    "code"
  ],
  "properties": {
    "code": {
      "type": "string",
      "description": "The full Python source of the agent file"
    },
    "filename": {
      "type": "string",
      "description": "File name, must end with _agent.py, e.g. invoice_triage_agent.py"
    }
  },
  "additionalProperties": false
}
check_agent annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
find_agents — Find existing agents
Advertised by the server during the last successful anonymous check.
Advertised read-onlyOpen-world

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.

find_agents input schema
{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 10,
      "minimum": 1,
      "description": "How many results, default 5"
    },
    "query": {
      "type": "string",
      "description": "Plain words describing the task, e.g. 'summarize sales calls'"
    }
  },
  "additionalProperties": false
}
find_agents annotations
{
  "readOnlyHint": true,
  "openWorldHint": true,
  "destructiveHint": false
}
get_agent_code — Get an agent's code
Advertised by the server during the last successful anonymous check.
Advertised read-onlyOpen-world

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_code input schema
{
  "type": "object",
  "required": [
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "description": "Registry name, e.g. @kody/memory_agent"
    }
  },
  "additionalProperties": false
}
get_agent_code annotations
{
  "readOnlyHint": true,
  "openWorldHint": true,
  "destructiveHint": false
}
use_agent_here — Use the agent in this chat
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

use_agent_here input schema
{
  "type": "object",
  "properties": {
    "filename": {
      "type": "string",
      "description": "The agent file name, e.g. invoice_triage_agent.py"
    }
  },
  "additionalProperties": false
}
use_agent_here annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
how_to_run_agent — Keep an agent running on your computer
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

how_to_run_agent input schema
{
  "type": "object",
  "properties": {
    "os": {
      "enum": [
        "mac",
        "windows",
        "linux"
      ],
      "type": "string",
      "description": "The user's operating system"
    },
    "filename": {
      "type": "string",
      "description": "The agent file name, if known"
    }
  },
  "additionalProperties": false
}
how_to_run_agent annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
share_agent — Share an agent with everyone
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

share_agent input schema
{
  "type": "object",
  "required": [
    "filename",
    "code"
  ],
  "properties": {
    "code": {
      "type": "string",
      "description": "The full Python source of the agent"
    },
    "filename": {
      "type": "string",
      "description": "Agent file name, ending in _agent.py"
    }
  },
  "additionalProperties": false
}
share_agent annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
rejection_rescue_preview — Explain an App Store rejection
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

rejection_rescue_preview input schema
{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "maxLength": 20480,
      "description": "Apple's rejection message, as received (up to 20 KB)"
    }
  },
  "additionalProperties": false
}
rejection_rescue_preview annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
request_service — Ask us to build something
Advertised by the server during the last successful anonymous check.

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.

request_service input schema
{
  "type": "object",
  "required": [
    "request"
  ],
  "properties": {
    "request": {
      "type": "string",
      "description": "What they want, in a sentence, as they agreed to send it"
    }
  },
  "additionalProperties": false
}
request_service annotations
{
  "readOnlyHint": false,
  "openWorldHint": false,
  "destructiveHint": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

90-day uptime

A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.

Too few checks for a percentage yet (1 of 1 answered).

  1. 2026-11-07: 1 of 1 checks answered

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
272 ms
95th percentile latency
272 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 272 ms · metadata changed · 9 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http raptr-mcp https://airaptr-api.azurewebsites.net/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add raptr-mcp --url https://airaptr-api.azurewebsites.net/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable raptr-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "raptr-mcp": {
      "url": "https://airaptr-api.azurewebsites.net/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "raptr-mcp": {
      "type": "streamableHttp",
      "url": "https://airaptr-api.azurewebsites.net/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start raptr-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "raptr-mcp": {
      "type": "http",
      "url": "https://airaptr-api.azurewebsites.net/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http raptr-mcp https://airaptr-api.azurewebsites.net/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://airaptr-api.azurewebsites.net/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "raptr-mcp": {
      "serverUrl": "https://airaptr-api.azurewebsites.net/mcp"
    }
  }
}

Let your agent find its tools

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