Social Media MCP Server - Unified Multi-Platform Posting API

Pricing

Pay per usage

Social Media MCP Server - Unified Multi-Platform Posting API

MCP Server providing unified access to 8 social media platforms. AI assistants can post to GBP, Facebook, Instagram, LinkedIn, Twitter/X, Reddit, Pinterest & TikTok through a single interface. Cross-platform posting, content scheduling, platform-specific optimization,& engagement tracking.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

John Rippy

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Categories

Social media

MCP servers

Automation

You can access the Social Media MCP Server - Unified Multi-Platform Posting API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "DNTTzvPwvLxH1RAbF"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/alizarin_refrigerator-owner~social-media-mcp-server/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-alizarin_refrigerator-owner-social-media-mcp-server",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/alizarin_refrigerator-owner~social-media-mcp-server/runs": {
      "post": {
        "operationId": "runs-sync-alizarin_refrigerator-owner-social-media-mcp-server",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/alizarin_refrigerator-owner~social-media-mcp-server/run-sync": {
      "post": {
        "operationId": "run-sync-alizarin_refrigerator-owner-social-media-mcp-server",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "apifyToken": {
            "title": "Apify API Token",
            "type": "string",
            "description": "Your Apify API token to call the underlying social media poster actors"
          },
          "tool": {
            "title": "MCP Tool",
            "enum": [
              "post_to_gbp",
              "post_to_facebook",
              "post_to_instagram",
              "post_to_linkedin",
              "post_to_twitter",
              "post_to_reddit",
              "post_to_pinterest",
              "post_to_tiktok",
              "cross_post",
              "schedule_post",
              "get_post_status",
              "list_platforms"
            ],
            "type": "string",
            "description": "The MCP tool to execute",
            "default": "list_platforms"
          },
          "toolInput": {
            "title": "Tool Input",
            "type": "object",
            "description": "JSON input for the selected tool"
          },
          "demoMode": {
            "title": "Demo Mode",
            "type": "boolean",
            "description": "Run with sample data to test without actual posting",
            "default": false
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Social Media MCP Server Multi-Platform Posting for AI OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Social Media MCP Server - Unified Multi-Platform Posting API from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Social Media MCP Server - Unified Multi-Platform Posting API API in Python

Social Media MCP Server - Unified Multi-Platform Posting API API in JavaScript

Social Media MCP Server - Unified Multi-Platform Posting API API through CLI

Social Media MCP Server - Unified Multi-Platform Posting API API

Image Text Extractor

m3web/image-text-extractor

Extract text from images using OCR (Optical Character Recognition) via direct URLs or uploaded JSON/CSV files. Works with multiple languages and automatically enriches your structured file with the text found inside images.

M3Web

Youtube Trending Scraper

api-empire/youtube-trending-scraper

YouTube Trending Scraper extracts real-time trending videos from YouTube. Collect titles, thumbnails, creators, categories, views, likes, and metadata. Ideal for trend research, content planning, competitor analysis, and workflows needing structured YouTube trending data.

API Empire

Real Estate MCP Server Multi-Platform Property Data for AI

alizarin_refrigerator-owner/real-estate-mcp-server

MCP Server providing AI assistants with unified access to 4+ real estate platforms through a single interface. Search properties, analyze market trends, compare listings, and generate investment reports across Zillow, Redfin, Realtor.com, and MLS.

John Rippy

Industry Research MCP Server for AI Assistants

alizarin_refrigerator-owner/industry-research-mcp-server

MCP Server providing AI assistants with unified access to industry research, market trends, competitor analysis, and business intelligence through a single interface. SEO news aggregation, Quora insights, Crunchbase data, review platform aggregation, and Reddit discussions.

John Rippy

Review Intelligence MCP Server for AI Assistants

alizarin_refrigerator-owner/review-intelligence-mcp-server

MCP Server providing AI assistants with unified access to 11+ review platforms through a single interface. Scrape reviews, analyze sentiment, generate AI-powered responses, and monitor reputation across Google, Yelp, Facebook, TripAdvisor, and more.

John Rippy

Image To Text Ai

welcoming_fireplace/image-to-text-ai

A powerful OCR tool that goes beyond standard text extraction. Powered by a Premium Vision AI model, it accurately reads handwriting, preserves table structures, and converts messy receipts or documents into structured JSON or Markdown. Supports batch processing for high-volume workflows.

Richmond Nkrumah

Messaging Platform MCP Server

alizarin_refrigerator-owner/messaging-mcp-server

Model Context Protocol (MCP) server providing unified access to Discord, Slack, Telegram & WhatsApp messaging. Perfect for AI assistants that need to send notifications, alerts or messages across platforms. Multi-Platform Support, Unified Interface, MCP Compatible, Rich Messages Embeds Demo Mode

John Rippy

Youtube Trending Video Scrapper

enoch.georgemuller/youtube-trending-video-scrapper

Scrape and download trending videos from any YouTube channel, sorted by views, likes, and comments. Customize your search with filters like date range and engagement metrics. Export data in multiple formats, including HTML, JSON, CSV, Excel, XML, and RSS feed, for easy analysis and integration.

Enoch George Muller

1.0

Influencer Marketing MCP Server

alizarin_refrigerator-owner/influencer-marketing-mcp-server

Enterprise-grade MCP (Model Context Protocol) server that provides unified access to influencer marketing tools across Instagram, TikTok, YouTube, LinkedIn, and Twitter. Includes AI-powered analysis, strategy generation, and multi-platform posting in one integrated toolkit.

John Rippy