FeedHive

What FeedHive MCP server does

FeedHive MCP server connects AI agents with FeedHive’s social media management capabilities. The listed functions cover three main tasks: creating posts, scheduling posts, and analyzing posts. These operations apply across the social media accounts connected to FeedHive, so the relevant account connections are managed through FeedHive rather than described as separate MCP integrations.

This places the FeedHive MCP server in the Social Media category. It may fit workflows where an agent prepares content, arranges when content should be published, or reviews available post results. The source material does not identify specific social networks, account limits, analytics fields, or supported post formats, so those details should be confirmed in FeedHive’s documentation before implementation.

How it works

The server exposes FeedHive functions through the Model Context Protocol. An MCP-compatible agent can use the available capability set to work with posts in FeedHive: create new social media content, schedule content for publication, and analyze posts. The description does not provide tool names, argument schemas, response formats, or examples, so client-side prompts and automation should be designed against the current FeedHive MCP documentation.

The scope is account-based through FeedHive’s connected accounts. This means the server’s usefulness depends on which accounts have been connected and made available in FeedHive. The provided information does not explain whether actions require approval, how scheduled times are represented, or whether analysis covers published posts only.

Tools and capabilities

The documented capabilities are:

• Create social media posts.
• Schedule social media posts.
• Analyze social media posts.
• Work across connected social media accounts in FeedHive.

These capabilities describe the supported task areas, not a complete tool schema. The source does not list individual MCP tool names or indicate whether each operation is exposed as one tool or several. Developers should consult the linked documentation for exact calls and parameters before building an agent workflow around the FeedHive MCP server.

Limitations and notes

The available listing contains no README and does not provide installation instructions, authentication details, required environment variables, licensing information, transport details, or client compatibility information. It also does not specify the social platforms that FeedHive can connect to. Do not assume a particular platform, client, or deployment method from the listing alone.

FeedHive MCP server is best evaluated against the accounts and publishing tasks already configured in FeedHive. Confirm permissions, scheduling behavior, analytics coverage, and account availability in the official documentation before allowing an agent to publish or modify content.