# Subfeed

> Use this tool when you need to integrate AI agents with a cloud platform, enabling capabilities like model discovery, entity management, and addon integration. It solves problems related to agent registration, invocation, and data management, providing a stateless HTTP proxy interface for authentication and API interaction. Ideal for use cases requiring seamless communication between AI agents and the Subfeed agentic cloud platform.

Canonical page: https://skillsregistry.net/skills/subfeed  
JSON: https://api.skillsregistry.net/v1/skills/subfeed

## Description

Provides tools for interacting with the Subfeed agentic cloud platform. Enables AI agents to discover models, register themselves, create and manage entities, invoke other agents via chat or webhooks, and manage addons like web search and scraping. Operates as a stateless HTTP proxy forwarding authentication tokens to the Subfeed API.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/subfeed)
- **Repository:** <https://github.com/subfeedapp/subfeed-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "subfeed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/subfeed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/subfeed/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt