The social data layer for AI agents.

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July 1, 2026

2026 Rank: #2098

API Direct

Social media analysis

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Agents API MCP

The social data layer for AI agents.

API Socialmediaintegration Real-timeDataAccess AI-assistantCompatibility NaturalLanguageProcessing DataScrapingFree + from $0.002

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Overview

The Social Media MCP for AI Agents is an application interface designed to provide AI agents with real-time access to social media and news. It connects with more than 50 tools across multiple platforms, allowing AI agents like Claude, ChatGPT, Cursor and others to fetch and operate with social media data.

The integration process is simple, requiring only pointing the AI tool to the server URL and providing an API key. The MCP server allows AI agents to search social media and news using natural language commands.

For instance, they can monitor brand mentions across platforms like LinkedIn, Twitter and news outlets, and provide sentiment analysis. It also aids in generating competitive intelligence, product and feature research, and offering real-time briefings based on social media and news activity.In addition to this, the MCP Server provides utilities to search news articles from thousands of sources, filter results by time, source, country, and language.

It can also retrieve user reviews for a place, including rating, text, author information, and response from the owner and pagination, as well as gather high-resolution photos and videos for a location.This tool can be used to identify user preferences, monitor trends and discussions, and provide insightful data for decisions related to product feature development and brand monitoring.

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July 1, 2026

Initial release of API Direct.

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Author

Joshua P Waller

@joshuapwaller

forumscout.app

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4 tools

41karma

Apprentice

Joined: November 2023

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Pros and Cons

Pros

Connects 50+ tools

Multiple platforms access

Simple integration process

Natural language commands

Brand mentions monitoring

Sentiment analysis provision

Generates competitive intelligence

Product and feature research

Real-time briefings

News articles from thousands sources

Filter results by time, source, country, and language

Retrieves user reviews

Author information retrieval

Gathers high-resolution photos and videos

Identifies user preferences

Monitors trends and discussions

Drives product feature development

Facilitates brand monitoring

Real-time data access

Data scraping capabilities

Current trends monitoring

News filtering

Geolocated media collection

Multilingual support

API Integration

50 free calls per tool/month

Works with any MCP client

One-line configuration process

Ease of getting API key

Creates insightful data

Mentions checker

Structured JSON responses

Real-time data fetching

Single token authorization

Spending limits setting

Streamable HTTP transport

Automatic tool discovery

Credit card not required for setup

Offers setup guide

Multiple MCP clients compatibility

Searches LinkedIn, Twitter, Reddit, YouTube

Has setup guides

Tool use feedback collection

Image understanding in chatbots

Detailed sentiment report

Memory across conversations feature

Reddit and forums data analysis

Access to user review ratings, text, and owner response

Combines News, Forum posts, Place reviews, Place photos APIs

View 44 more pros

Cons

Only 50 free monthly calls per endpoint

Requires API key

Doesn't support local process

Associated cost per request

Limited to 60+ tools

Potential ambiguity in JSON parsing

Needs spending limits configuration

Limited to API and MCP protocol

Requires server URL setup

View 4 more cons

Q&A

What platforms does Social Media MCP for AI Agents connect to?

Social Media MCP for AI Agents connects to multiple platforms, including LinkedIn, Twitter, Reddit, YouTube, and News platforms.

How do I connect my AI agent to Social Media MCP?

To connect an AI agent to Social Media MCP, sign up for an API key and add the MCP server URL in your AI tool’s configuration.

What kinds of data can this MCP server retrieve?

The MCP server retrieves a wide variety of data. It can search social media and news using natural language commands, monitor brand mentions, and provide sentiment analysis. It also retrieves user reviews for a place, including rating, text, author information, and response from the owner. Additionally, the server can gather high-resolution photos and videos for a location.

Which AI agents can use Social Media MCP for AI Agents?

Any MCP client can use Social Media MCP for AI Agents. On their website, they specifically mention Claude, ChatGPT, and Cursor as examples.

How can Social Media MCP aid in monitoring brand mentions?

Social Media MCP aids in monitoring brand mentions by allowing AI agents to search platforms like LinkedIn, Twitter, and news outlets using natural language commands to identify mentions of specific brands.

Can Social Media MCP for AI Agents provide sentiment analysis?

Yes, Social Media MCP for AI Agents can provide sentiment analysis by processing the information fetched from the social media and news platforms.

+ Show 14 more

Can this tool assist in generating competitive intelligence?

Yes, Social Media MCP can assist in generating competitive intelligence. It does this by allowing AI agents to search and analyse data across various platforms to identify trends, discussions, and public sentiment that could impact the competitive landscape.

How does Social Media MCP for AI Agents aid in product research?

Social Media MCP aids in product research by allowing AI agents to search social media and news for mentions and discussions around specific products or features. This allows for a real-time analysis of public opinions and trends.

What are the real-time briefings based on?

The real-time briefings generated by Social Media MCP are based on current social media and news activity.

How does the MCP server search news articles?

The MCP server searches news articles using natural language commands. It has the ability to search thousands of sources for news articles.

What features allow filtering of the news results?

The MCP server provides features to filter news results by time, source, country, and language.

How detailed is the user review information that can be retrieved?

The user review information retrieved by Social Media MCP can be detailed. It includes rating, review text, author information, and response from the owner. The server also provides pagination for the reviews.

What media can be pulled for a location?

In terms of location-specific media, Social Media MCP can pull high-resolution photos and videos for a place.

Can this tool cater to multilingual needs?

Yes, Social Media MCP can cater to multilingual needs as it has the capability to filter results by language.

How many tools across platforms does Social Media MCP provide?

Social Media MCP connects to more than 50 tools across multiple platforms.

What is required for the integration process?

For the integration process, only two things are required: pointing the AI tool to the server URL and providing an API key.

What is the data layer for AI agents?

The data layer for AI agents is a term used to refer to the Social Media MCP for AI Agents server which provides real-time access to social media and news data.

How can this tool help monitor trends and discussions?

Social Media MCP helps in monitoring trends and discussions by providing AI agents with the ability to search social media and news outlets using natural language commands, thereby enabling timely identification and analysis of trending topics and public discussions.

How can Social Media MCP for AI Agents provide insightful data for product feature development?

Social Media MCP can provide data for product feature development by fetching user reviews and analysing social media discussions related to specific products or features. This data can provide insights into what features customers prioritize or discuss most often.

What capabilities are there for monitoring brand mentions with this tool?

Brand mentions can be monitored using Social Media MCP through real-time tracking and analysis of brand mention volume and sentiment across various social media platforms and news outlets.

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