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Hootsuite MCP Server

MCP server for Hootsuite - Social media management platform

49Fair

Scored 3 months ago · breakdown

About Hootsuite MCP Server

Hootsuite MCP Server is an MCP server published by LokiMCPUniverse in the Developer Tools category: mCP server for Hootsuite - Social media management platform. It has been installed 0 times through Conduid.

The repository has 4 stars and 2 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx hootsuite-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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  • ·License declaredNot checked yet.
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  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Hootsuite MCP Server

Hootsuite Mcp Server

GitHub stars GitHub forks GitHub watchers

License Issues Pull Requests Last Commit

Python MCP

Commit Activity Code Size Contributors

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:

  1. create_post - Create and schedule social media posts
  2. get_social_profiles - Get connected social media profiles
  3. get_posts - Retrieve scheduled and published posts
  4. delete_post - Delete posts by ID
  5. 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

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Hootsuite MCP Server

How do I install Hootsuite MCP Server?

Run npx hootsuite-mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Hootsuite MCP Server safe to use with an AI agent?

Its trust score is 49 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Hootsuite MCP Server still maintained?

The last commit was 10 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.