# Warpcast

> Use this tool when you need to automate interactions with the Farcaster social network, such as posting updates, curating content, or analyzing trends. Warpcast integrates with AI assistants to enable seamless management of channel interactions, content searching, and user engagement. It is ideal for use cases like automated social media management and content curation, providing Ed25519 authenticated access to the Farcaster network.

Canonical page: https://skillsregistry.net/skills/zhangzhongnan928-warpcast  
JSON: https://api.skillsregistry.net/v1/skills/zhangzhongnan928-warpcast

## Description

This MCP server integrates with Warpcast, enabling AI assistants to interact with the Farcaster social network. It provides tools for posting casts, reading user content, searching, and managing channel interactions. The server uses Ed25519 authentication and is designed for use cases like automated social media management, content curation, and trend analysis on Warpcast.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zhangzhongnan928-warpcast)
- **Repository:** <https://github.com/zhangzhongnan928/mcp-warpcast-server>

## 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": "zhangzhongnan928-warpcast"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhangzhongnan928-warpcast` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhangzhongnan928-warpcast/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
