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.
Wiring an agent to eight 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.
A native Model Context Protocol server you connect to any MCP host in seconds.
Every endpoint is a typed tool with clear arguments and annotation hints.
List, reply to, hide, like, and delete comments across all connected platforms.
List conversations, read threads, and send replies through one messaging tool.
Create and schedule posts across every network from a single tool call.
Push real-time events into your agent so it can act the moment something happens.
Call a tool from your agent
1{
2 "tool": "social_api_list_comments",
3 "arguments": { "post_id": "socapi_post_...", "limit": 20 }
4}
5
6{
7 "tool": "social_api_send_dm",
8 "arguments": { "conversation_id": "socapi_conv_...", "text": "Thanks for reaching out!" }
9}
10
11{
12 "tool": "social_api_reply_to_review",
13 "arguments": { "review_id": "socapi_rev_...", "text": "We appreciate the feedback." }
14}
15
16// 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.
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.
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.
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.
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.
FAQ
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.
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.
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.
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.
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