This server enables AI models & Agents to interact with and search data from multiple curated sources through a unified MCP (model context protocol) server..
Overview
what is Recall Data Omnifeeds?
Recall Data Omnifeeds is a Model Context Protocol (MCP) server that allows AI models and agents to interact with and search data from multiple curated sources like Twitter, Substack, and CoinGecko through a unified interface.
how to use Recall Data Omnifeeds?
To use Recall Data Omnifeeds, clone the repository, install dependencies, set up your API credentials in a .env file, build the project, and start the server. You can then integrate it with any MCP-compatible client like Claude.
key features of Recall Data Omnifeeds?
- Twitter Integration: Access user profiles, tweets, trending topics, and send tweets.
- Substack Integration: Retrieve publication information, recent posts, and search posts.
- CoinGecko Integration: Get current token prices, contract addresses, and trending tokens.
use cases of Recall Data Omnifeeds?
- Analyzing social media trends through Twitter data.
- Retrieving and analyzing content from Substack publications.
- Monitoring cryptocurrency prices and trends using CoinGecko data.
FAQ from Recall Data Omnifeeds?
- Can I use Recall Data Omnifeeds with any MCP-compatible client?
Yes! It is designed to work with any MCP-compatible client.
- Is there support for custom domains in Substack integration?
Yes! The integration supports both custom domains and subdomains.
- What programming language is Recall Data Omnifeeds built with?
The project is built using TypeScript.