Meltwater MCP. Monitor Media Mentions & Trends via AI Chat
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Meltwater connects your AI client directly to live media and social data. Track news mentions, monitor brand sentiment, and perform deep analytics across thousands of sources using natural conversation.
Get real-time insights on everything from competitor activity to policy changes.
What your AI agents can do
Get media insights
Pulls high-level, aggregated media insights for a given topic or campaign.
Get mention details
Retrieves full details—including sentiment and reach—for one specific piece of content mentioned.
Get search analytics
Calculates the performance metrics (reach, volume) for a set of search results or keywords.
Searches news and social media content using keywords, date ranges, or source filters.
Retrieves detailed metrics, including sentiment scores and reach, for a single mention or piece of content.
Calculates aggregated performance metrics and analytics based on saved search criteria.
Lists available media sources, exports, tags, and folders to organize your monitoring work.
Retrieves details for existing saved search criteria within the Meltwater account.
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Meltwater MCP Server: 10 Tools for Media Analytics
Use these tools to search content, analyze specific mentions, and generate comprehensive reports on global media coverage.
019d75d2get media insights
Pulls high-level, aggregated media insights for a given topic or campaign.
019d75d2get mention details
Retrieves full details—including sentiment and reach—for one specific piece of content mentioned.
019d75d2get search analytics
Calculates the performance metrics (reach, volume) for a set of search results or keywords.
019d75d2get search details
Pulls specific criteria and setup information for an existing saved search query.
019d75d2list content exports
Shows all available content export types (e.g., CSV, JSON) that can be pulled from the platform.
019d75d2list folders
Lists every folder you've created within your Meltwater account for organization.
019d75d2list media sources
Displays all the tracked media sources (e.g., specific news sites, social platforms) monitored by your account.
019d75d2list saved searches
Lists all the complex search queries you have saved in your Meltwater account.
019d75d2list tags
Displays all organizational tags available to categorize and filter your media data.
019d75d2search content
Performs a real-time search across news and social media content based on keywords or filters.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Make Your AI Do More
Start with Meltwater, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Meltwater MCP Server: Media & Sentiment Analysis
Connect your AI client directly to Meltwater's live media and social data stream, giving you total control over deep media intelligence through natural conversation. You don't have to jump between tabs or manually export files just to get answers; your agent handles the whole workflow.
When your agent runs a query, it doesn't just scrape text. It performs real-time searches across global news and social streams using search_content. You can filter this search by specific keywords, date ranges, or predefined source filters—it’s like having an instant, always-on media desk right inside your chat window.
For the deep dive, you'll use get_mention_details to pull full data on any single piece of content. This tool gives you more than just a snippet; it hands over detailed metrics, including precise sentiment scores and total reach for that specific mention. If you need to track how one particular campaign is doing across the board, your agent uses get_media_insights to pull high-level, aggregated media intelligence for any given topic or marketing campaign.
Need to understand performance over time? You'll call get_search_analytics. This calculates the aggregate metrics—like total reach and content volume—based on a set of keywords or saved search criteria. If you've already set up complex rules, you can use list_saved_searches to see every query you've stored in Meltwater, and then get_search_details pulls all the specific setup information for those existing queries.
When it comes to organization, your agent manages everything. You can call list_media_sources, which displays every single news site or social platform that your account is already monitoring. To keep things tidy, you'll use list_tags to see all organizational categories and list_folders to review the folders you’ve set up for different projects.
If you need to pull data out of the system, list_content_exports shows every export format available—like CSV or JSON—so you know exactly what file type you're getting.
This means your agent can not only perform deep content searches and analyze specific mentions but it also handles all the heavy lifting of reporting. You get comprehensive performance metrics from get_search_analytics and high-level views from get_media_insights, letting you track everything from competitor activity to shifts in policy changes, all without leaving your chat interface.
It's a complete system for monitoring, analysis, and organization that runs entirely through conversation.
How Meltwater MCP Works
- 1 Subscribe to this server and provide your API credentials (Client ID, Client Secret).
- 2 Your AI client authenticates with the Meltwater gateway using those keys.
- 3 The agent executes a tool call—like
search_content—and returns structured data directly into your conversation window.
The bottom line is: you tell your agent what to find, and it pulls the raw media intelligence data back without you ever leaving your chat interface.
Who Is Meltwater MCP For?
PR Managers who are tired of manually compiling weekly press reports. Content Strategists needing real-time sentiment checks on a new campaign launch. Competitive Intelligence Analysts whose job requires tracking niche competitor mentions across multiple global news sources. Anyone who needs media data, but hates clicking through dashboards.
Uses get_mention_details to quickly check the tone and reach of a negative press mention immediately after it hits.
Runs complex searches using search_content to validate if current topics are generating enough buzz before writing copy.
Uses list_saved_searches and get_search_analytics to compare performance metrics between competitors over time.
What Changes When You Connect
- Stop sifting through spreadsheets. Use
search_contentto instantly pull articles and mentions based on keywords or timeframes, giving you immediate results. - Pinpoint sentiment fast. Call
get_mention_detailswith a single URL to get the exact tone (positive/negative) and total reach of that one mention. - Track competitive performance easily. Run
get_search_analyticsagainst your saved competitor queries to see how their volume changed this week, without leaving your chat. - Organize everything better. Use
list_tagsandlist_foldersto structure raw data as you find it, making sure nothing gets lost in the monitoring process. - Understand your scope. Call
list_media_sourcesto see exactly which news outlets are feeding data into your dashboard, keeping your reporting accurate.
Real-World Use Cases
Crisis Response Monitoring
A brand manager sees a sudden spike in mentions. They ask the agent to run search_content for the crisis keywords, then use get_mention_details on the top 5 results to assess immediate sentiment and reach. The agent compiles this into a single summary report.
Quarterly Competitor Review
An analyst needs to compare how two competitors performed last quarter. They use list_saved_searches to pull their existing reports, and then run get_search_analytics on both sets of data to identify key performance gaps.
Campaign Effectiveness Check
A marketing team wants to see if a new campaign is resonating. They ask the agent to search for their product name plus 'review' using search_content, and then use get_media_insights to get an overall sentiment score.
Data Archiving and Setup
A user needs to set up a new monitoring process. They first call list_tags to see what organizational buckets are available, then use the agent to create and save a complex query via get_search_details for future reference.
The Tradeoffs
Manual Data Compilation
Copying 50 separate links from Google Alerts into Excel, then manually checking the sentiment of each one in a different tab.
→
Don't copy and paste. Use your agent to run search_content first. Then feed the results through get_mention_details. The agent handles all the data fetching and structuring for you.
Ignoring Scope Limitations
Thinking that running a simple keyword search (search_content) will give deep financial performance metrics.
→
Remember what get_media_insights does. It provides high-level, aggregated data. For specific article analysis, you need to call get_mention_details on the resulting links.
Overlooking Organization
Running a great search query and then losing it because it wasn't saved anywhere.
→
Before running any complex search, always check list_saved_searches to see if the criteria already exist. If not, use the agent to save it.
When It Fits, When It Doesn't
Use this server if your primary job is tracking external media conversations—news articles, social posts, press mentions—and you need structured data about sentiment and reach. The tools are designed for PR and brand monitoring.
Don't use it if: 1) You need to manage internal employee communications (use a dedicated messaging tool). 2) Your goal is tracking transactional sales records (you need a CRM connector). 3) You only care about the source of the data, not the content itself. In those cases, simply listing available media sources via list_media_sources might be enough, but you'll miss the deep analytics.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Meltwater. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through global news mentions shouldn't feel like a full-time job.
Today, monitoring media coverage means jumping between Google Alerts, Twitter feeds, and industry publication sites. You copy the link from one place, paste it into another to check its sentiment, then manually update your master spreadsheet with keywords and reach metrics. It takes hours just to build a basic week-over-week report.
With this MCP server, you simply ask your agent: 'Find all mentions of [Brand] in the last 7 days.' The agent executes `search_content` and returns structured data that includes sentiment and source type. You get an instant, actionable summary instead of a massive spreadsheet.
get_mention_details: Know exactly what every single mention means.
Without this server, if you find a promising article link, you're left guessing. You don't know its actual reach, or whether the tone is genuinely positive or just corporate fluff. You have to manually verify the metrics on the source site.
By calling `get_mention_details`, your agent pulls all the hard data: confirmed sentiment scores and total audience reach for that specific article. This moves you from guessing what a mention means to knowing it with verifiable numbers.
Common Questions About Meltwater MCP
How do I check if my search terms are already monitored? Using list_saved_searches. +
You use list_saved_searches to see all existing criteria. This confirms if you've already set up a monitor for those keywords, saving you from duplicating work.
What is the difference between search_content and get_media_insights? +
search_content finds raw articles and posts in real-time. get_media_insights gives you a high-level summary or aggregate metric across a whole category of content.
I need to know the sentiment for a specific link. Which tool do I use? get_mention_details. +
You must call get_mention_details. It takes a specific piece of content and returns its calculated metrics, including the positive/negative percentage breakdown.
How can I find out which news sources Meltwater tracks? list_media_sources. +
Use list_media_sources. This tool provides a definitive list of all the specific media sites and platforms that are feeding data into your account.
If I want to track performance over time, how do I use get_search_analytics? +
It returns detailed usage metrics for a specific search query. You can pull data points like total reach and volume of mentions tracked over defined periods, giving you quantitative proof of interest.
How can I view the overall structure of my account using list_folders? +
This command lists every top-level folder within your Meltwater workspace. It shows how your data is segmented and organized, helping your agent navigate to specific campaigns or project areas.
What does list_content_exports do when I need raw data? +
It provides a manifest of all content export options available for download. Your agent uses this list to determine what formats—like JSON, CSV, or XML—are ready for you to pull out and analyze.
If I need standardized grouping labels, how do I check available tags using list_tags? +
This tool pulls a definitive list of all organizational tags used in your account. It ensures that any data the agent processes uses consistent, approved terminology across different searches.
How do I get Meltwater API credentials? +
You need to log in to the Meltwater Developer Portal to generate your API Key and create an application to receive your OAuth 2.0 Client ID and Secret.
What content can I search? +
Meltwater allows you to search across millions of global news sources and various social media platforms like Twitter, Instagram, and Facebook.
Is my media data secure? +
Absolutely. Your credentials are encrypted at rest and injected securely at runtime.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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