Hootsuite MCP Server
Integrates Hootsuite social media management with AI assistants, enabling post creation, scheduling, analytics, and profile management through natural language.
README
Hootsuite MCP Server
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Hootsuite Mcp Server
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A Model Context Protocol (MCP) server for integrating Hootsuite with GenAI applications.
Overview
Social media management platform
Features
- Comprehensive Hootsuite API coverage
- Multiple authentication methods
- Enterprise-ready with rate limiting
- Full error handling and retry logic
- Async support for better performance
Installation
pip install hootsuite-mcp-server
Or install from source:
git clone https://github.com/asklokesh/hootsuite-mcp-server.git
cd hootsuite-mcp-server
pip install -e .
Configuration
Create a .env file in your project root with your Hootsuite API credentials:
# Option 1: OAuth Access Token (recommended)
HOOTSUITE_ACCESS_TOKEN=your_access_token_here
# Option 2: API Key and Secret
HOOTSUITE_API_KEY=your_api_key_here
HOOTSUITE_API_SECRET=your_api_secret_here
See .env.example for all available configuration options.
Quick Start
Running the MCP Server
# Using the command line entry point
hootsuite-mcp
# Or using Python
python -m hootsuite_mcp.server
Using as a Library
from hootsuite_mcp import mcp
# `mcp` is a FastMCP instance with tools pre-registered.
# Run the stdio transport in-process:
if __name__ == "__main__":
mcp.run()
Requirements
- Python 3.10 or newer
- MCP SDK 1.27+ (installed automatically via
pip install -e .)
Available Tools
The MCP server provides the following tools:
- create_post - Create and schedule social media posts
- get_social_profiles - Get connected social media profiles
- get_posts - Retrieve scheduled and published posts
- delete_post - Delete posts by ID
- get_analytics - Get analytics data for profiles
Development
See DEVELOPER.md for detailed development documentation.
Running Tests
# Install development dependencies
pip install -e ".[dev]"
# Run tests
pytest tests/ -v
# Run with coverage
pytest tests/ -v --cov=src --cov-report=term
Validation
Run the validation script to check the installation:
python validate.py
CI/CD
The project uses GitHub Actions for continuous integration:
- Quick Test - Runs on every push/PR for fast feedback
- Full CI - Comprehensive testing across multiple Python versions and OSes
License
MIT License - see LICENSE file for details
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