# Farcaster

> Use this tool when you need to analyze social data from the Farcaster network, fetch user casts, or search channels in real-time. It solves problems related to content analysis, trend monitoring, and user engagement tracking by providing access to Farcaster data through the Hubble API. The tool takes FID or username as input and outputs relevant casts and channel information, ideal for use cases requiring up-to-date social media insights.

Canonical page: https://skillsregistry.net/skills/manimohans-farcaster  
JSON: https://api.skillsregistry.net/v1/skills/manimohans-farcaster

## Description

This MCP server provides tools to interact with the Farcaster network, allowing AI models to fetch casts, search channels, and analyze content. It integrates with the Farcaster Hubble API to retrieve user casts by FID or username, as well as channel-specific casts. The implementation is designed for use cases requiring real-time access to Farcaster social data, such as content analysis, trend monitoring, or user engagement tracking.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/manimohans-farcaster)
- **Repository:** <https://github.com/manimohans/farcaster-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": "manimohans-farcaster"
    }
  }
}
```

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

---
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