Social Listening

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social-listening is a powerful tool developed by fred-em that leverages the Model Context Protocol (MCP) to provide advanced social listening capabilities. Designed to work with Syften's API, this MCP server enables AI-powered analysis of social mentions, helping businesses and individuals monitor online conversations about their brand, products, or topics of interest. By integrating with various data sources, social-listening can deliver real-time insights and notifications through webhooks, ensuring users stay informed about significant social media activities and trends.

To start using social-listening, you'll need to set up a suitable environment by ensuring the prerequisites are met:

Node.js: Ensure you have Node.js version 16 or later installed.
Syften Account: Create an account with Syften and obtain API access.
Claude Desktop or VSCode: Install the Claude Desktop application or use VSCode with the Claude extension for configuration.

Once your environment is ready, follow these steps:

Clone and Install: Download the social-listening server and install the necessary dependencies using npm.
Build the Server: Compile the server code to prepare it for operation.
Configure the API: Input your Syften API key into the configuration files for either Claude Desktop or VSCode, ensuring the server can access the necessary data.
Set Up Webhooks: Configure webhooks to receive real-time notifications about important social mentions.

With everything configured, you can utilize various tools within the server to monitor and analyze social mentions, such as configuring AI filters, setting up webhooks, backfilling historical data, and analyzing trends.

social-listening offers a range of features designed to enhance your social listening experience:

Real-Time Monitoring: Keep track of social media mentions as they happen, ensuring timely awareness and response.
AI-Powered Categorization: Automatically classify content into categories such as "spam," "support," "feedback," "bug report," and "feature request" using AI.
Webhook Notifications: Receive instant alerts for important mentions through customizable webhook integration.
Historical Data Backfilling: Access past social mentions to gather comprehensive insights and fill data gaps.
Trend Analysis and Reporting: Analyze trends over time to understand how mentions evolve, helping you make informed decisions.
Natural Language Query Support: Interact with the server using natural language queries to easily extract relevant information and insights.

These features are designed to provide users with a comprehensive understanding of social dynamics related to their interests, empowering them to make data-driven decisions and stay ahead in their respective fields.

A Model Context Protocol (MCP) server that provides social listening capabilities through Syften's API. This server enables AI-powered analysis of social mentions, with support for real-time notifications via webhooks.

Features

Real-time social mention monitoring
AI-powered content categorization
Webhook notifications for important mentions
Historical data backfilling
Trend analysis and reporting
Natural language query support

Prerequisites

Node.js (v16 or later)
A Syften account with API access
Claude Desktop app or VSCode with Claude extension

Installation

Clone the repository:

git clone 
cd social-listening

Install dependencies:

npm install

Build the server:

npm run build

Configuration

1. Syften API Setup

Log in to your Syften account
Go to Settings > API Access
Generate an API key if you haven't already
Copy your API key for the next step

2. Claude Desktop Configuration

Add the server configuration to ~/Library/Application Support/Claude/claude_desktop_config.json:

 "mcpServers": {
 "social-listening": {
 "command": "node",
 "args": ["/absolute/path/to/social-listening/build/index.js"],
 "env": {
 "SYFTEN_API_KEY": "your-api-key-here"

3. VSCode Configuration (Optional)

If you're using VSCode with the Claude extension, add the configuration to /Users/YOUR_USERNAME/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json:

 "mcpServers": {
 "social-listening": {
 "command": "node",
 "args": ["/absolute/path/to/social-listening/build/index.js"],
 "env": {
 "SYFTEN_API_KEY": "your-api-key-here"

Available Tools

1. configure_ai_filter

Configure AI filtering settings for mention analysis.

 "enabled": true,
 "min_confidence": 0.7,
 "categories": ["spam", "support", "feedback", "bug_report", "feature_request"],
 "webhook_url": "
 "webhook_secret": "your-secret-token"

2. setup_webhook

Configure webhook endpoint for real-time notifications.

 "endpoint_url": "
 "secret_token": "your-secret-token",
 "enabled": true

3. backfill_month

Backfill mentions for a specific month.

 "year": 2024,
 "month": 2

4. sync_latest

Sync new mentions since last update.

5. analyze_trends

Analyze mention trends over time.

 "start_date": "2024-01-01",
 "end_date": "2024-02-01",
 "group_by": "day",
 "tags": ["feature", "bug"]

6. get_top_sources

Get top mention sources/authors.

 "start_date": "2024-01-01",
 "end_date": "2024-02-01",
 "limit": 10

7. nlp_prompt

Process natural language queries.

 "prompt": "show me feedback mentions from last week"

8. get_ai_filtered_mentions

Get mentions processed by AI filtering.

 "start_date": "2024-01-01",
 "end_date": "2024-02-01",
 "min_confidence": 0.8,
 "categories": ["feedback", "bug_report"],
 "limit": 50

Example Usage in Claude

Here are some example prompts you can use with Claude:

Configure AI filtering:

Configure the social listening AI filter to detect bug reports and feature requests with 80% confidence.

Set up webhook notifications:

Set up a webhook for the social listening server to send notifications to with the secret token "my-secret".

Analyze trends:

Show me the trend of bug reports and feature requests from last month.

Get filtered mentions:

Show me all high-confidence bug reports from the past week.

Natural language queries:

What kind of feedback have we received about the new feature launch?

Webhook Integration

When configuring webhooks, the server will send notifications in this format:

 "mention_url": "
 "ai_score": 0.95,
 "ai_categories": ["bug_report", "feature_request"],
 "timestamp": "2024-02-12T15:30:00Z"

Headers included with webhook requests:

Content-Type: application/json
X-Webhook-Secret: your-secret-token

Development

Building from source

# Install dependencies
npm install
# Build the server
npm run build
# Run tests
npm test

Adding new features

Implement new functionality in src/
Add tests in tests/
Build and test locally
Submit a pull request

Troubleshooting

Webhook errors: Ensure your webhook endpoint is accessible and supports HTTPS
API key issues: Verify your Syften API key is correctly set in the configuration
Database errors: Check if the data directory exists and is writable

Contributing

Fork the repository
Create a feature branch
Commit your changes
Push to the branch
Create a Pull Request

License

MIT License - see LICENSE file for details

How to Use

To use the social-listening, follow these steps:

Visit https://github.com/fred-em/social-listeninghttps://github.com/fred-e...
Follow the setup instructions to create an account (if required)
Connect the MCP server to your Claude Desktop application
Start using social-listening capabilities within your Claude conversations

Additional Information

Created

February 12, 2025

Company

fred-em

Related MCP Servers

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Learn More

Social Listening

Features

Prerequisites

Installation

Configuration

1. Syften API Setup

2. Claude Desktop Configuration

3. VSCode Configuration (Optional)

Available Tools

1. configure_ai_filter

2. setup_webhook

3. backfill_month

4. sync_latest

5. analyze_trends

6. get_top_sources

7. nlp_prompt

8. get_ai_filtered_mentions

Example Usage in Claude

Webhook Integration

Development

Building from source

Adding new features

Troubleshooting

Contributing

License

How to Use

Additional Information

Created

Company

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Social Listening

What is social-listening?

How to Use social-listening

Key Features of social-listening

Features

Prerequisites

Installation

Configuration

1. Syften API Setup

2. Claude Desktop Configuration

3. VSCode Configuration (Optional)

Available Tools

1. configure_ai_filter

2. setup_webhook

3. backfill_month

4. sync_latest

5. analyze_trends

6. get_top_sources

7. nlp_prompt

8. get_ai_filtered_mentions

Example Usage in Claude

Webhook Integration

Development

Building from source

Adding new features

Troubleshooting

Contributing

License

How to Use

Additional Information

Created

Company

Related MCP Servers

Social Media MCP

Instagram Engagement MCP

Adspirer MCP Server

Start building your own MCP Server