The social media API built for AI agents
Every capability, reading comments, sending DMs, publishing posts, and replying to reviews, is exposed as a typed Model Context Protocol tool. Agents in Claude, ChatGPT, and Cursor can manage social media across Instagram, Facebook, TikTok, LinkedIn, YouTube, X, and Threads with no platform-specific code.
- Free tier available
- Instant API key
- MCP server included
Call a tool from your agent
{
"tool": "social_api_list_post_comments",
"arguments": { "account_id": "acc_...", "inbox_post_id": "17895695668004550", "limit": 20 }
}
{
"tool": "social_api_send_dm",
"arguments": { "account_id": "acc_...", "conversation_id": "7f1c4e2b-...", "text": "Thanks for reaching out!" }
}
{
"tool": "social_api_reply_to_review",
"arguments": { "account_id": "acc_...", "review_id": "sapi_rev_...", "text": "We appreciate the feedback." }
}
// Each tool returns the same normalized JSON for every platform.Your agent calls SocialAPI.ai tools by name with typed arguments. The same MCP server exposes reading, messaging, and publishing across every connected network.
Why: AI agents need tools, not OAuth boilerplate.
Wiring an agent to 13 social networks means handling OAuth flows, rate limits, and a bespoke schema for every platform before the agent can do anything useful. An MCP-native API removes that work: the agent gets a single typed toolset that already speaks to every network, so you focus on the agent's behavior instead of platform plumbing.
Where it lands: One call, every network
The same request lands on each platform as that platform draws it.
Works across every connected network.
Capabilities: What the Social Media API for AI Agents covers
An MCP-native social media API your AI agent can call directly.
MCP server
A native Model Context Protocol server you connect to any MCP host in seconds.
https://api.social-api.ai/mcpTyped tools
Every endpoint is a typed tool with clear arguments and annotation hints.
- social_api_list_post_comments
- social_api_send_dm
- social_api_reply_to_review
Comments
List, reply to, hide, like, and delete comments across all connected platforms.
- GET
/v1/inbox/comments/{postId} - POST
/v1/inbox/comments/{postId}
- GET
Direct Messages
List conversations, read threads, and send replies through one messaging tool.
- GET
/v1/inbox/conversations - POST
/v1/inbox/conversations/{id}/messages
- GET
Publishing
Create and schedule posts across every network from a single tool call.
- POST
/v1/posts
- POST
Webhooks
Push real-time events into your agent so it can act the moment something happens.
comment.receiveddm.receivedmention.received
In depth: Social Media API for AI Agents, in depth
Native MCP server
SocialAPI.ai ships a first-class Model Context Protocol server, not a bolt-on wrapper. Point your agent at one endpoint and it gains read and write access to every connected social network. There is no per-platform OAuth code, no schema mapping, and no SDK to maintain inside the agent itself.
Typed tools for every capability
Reading comments, sending DMs, publishing posts, and replying to reviews are each exposed as a typed tool with clear arguments and annotation hints. The agent sees exactly what each tool does and what it returns, which keeps tool selection accurate and reduces hallucinated or malformed calls.
Works with any MCP host
The server runs anywhere Model Context Protocol is supported, including Claude, ChatGPT, Cursor, and VSCode. Connect it once per host and every social capability becomes available to that agent. Integration details live in the Integrations guide at https://docs.social-api.ai.
Listed on MCP marketplaces
SocialAPI.ai is published on the major MCP marketplaces, including Smithery, Composio, MCP.so, and PulseMCP, so developers and agents can discover and install it through the catalogs they already use, with the same typed toolset across every network.
Compare: Compared to other social media MCP servers
Most social media MCP servers publish and schedule. Fewer can read and reply to comments, DMs, reviews, and mentions, and only a few connect over OAuth 2.1 without a pasted key. See how SocialAPI.ai ranks against Zernio, Upload-Post, Ayrshare, Buffer, and the rest.
Frequently asked questions
What developers ask before they ship.
What is the best social media API for AI agents in 2026?
The best social media API for AI agents is one that exposes its capabilities as native Model Context Protocol tools rather than just REST endpoints. SocialAPI.ai is MCP-native: reading comments, sending DMs, publishing posts, and replying to reviews are typed tools an agent can call directly across Instagram, Facebook, TikTok, LinkedIn, YouTube, X, and Threads with no platform-specific code.
What is an MCP server for social media?
An MCP server for social media exposes social actions as Model Context Protocol tools that an AI agent can call. Instead of writing OAuth and API code for each network, the agent connects to the server once and gains typed tools to read, message, and publish across every connected platform.
Which AI hosts work with the SocialAPI MCP server?
The SocialAPI.ai MCP server works with any Model Context Protocol host, including Claude, ChatGPT, Cursor, and VSCode. It is also listed on marketplaces like Smithery, Composio, MCP.so, and PulseMCP, so you can install it through the catalog you already use.
Can an agent post and reply on my behalf?
Yes. Once you connect your accounts, the agent can publish posts, reply to comments, send direct messages, and respond to reviews through typed tools. SocialAPI.ai enforces per-platform rules and scopes behind the scenes, so the agent acts safely within each network's limits.
Other solutions, same API: Other solutions, same API
Same key, same shapes, same webhook.
Ready to unify your social interactions?
Free tier available. No credit card required. Ships with the MCP server.





