Keepcon MCP. Moderation and Semantic Analysis for UGC
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Keepcon MCP Server automates content moderation and semantic analysis for user-generated content. It lets your AI client check text in real-time for policy violations, run large batches of content for review, and manage the entire moderation lifecycle.
You can also query user profiles and submit feedback to improve the system's accuracy.
What your AI agents can do
Acknowledge results
Marks a set of batch moderation results as received by confirming the data set ID.
Export results
Retrieves the finalized moderation results from a previously submitted content batch.
Get profile
Fetches a user's profile information using a standard Keepcon user ID.
Your AI client submits text, and the server immediately returns a moderation decision (approve/reject) and relevant category tags.
The server accepts a large upload of content, runs moderation asynchronously, and generates a set of results you can later pull down.
You can confirm receipt of processed results using acknowledge_results or retrieve the full data set with export_results.
You can list all user profiles or look up a specific profile using a Keepcon ID or a social media ID (like Twitter or Facebook).
You submit feedback on moderation decisions, which helps retrain and refine the semantic analysis engine.
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Keepcon MCP Server: 9 Tools for Moderation
Use these 9 tools to handle the entire lifecycle of user-generated content moderation, from real-time checks to bulk data retrieval and profile linking.
019d75c0acknowledge results
Marks a set of batch moderation results as received by confirming the data set ID.
019d75c0export results
Retrieves the finalized moderation results from a previously submitted content batch.
019d75c0get profile
Fetches a user's profile information using a standard Keepcon user ID.
019d75c0get profile by social id
Retrieves a user profile by linking it to a social media network ID (like Twitter or Facebook).
019d75c0import batch
Submits a large volume of content for asynchronous moderation and returns a unique import ID.
019d75c0list profiles
Retrieves a list of all user profiles currently held within your Keepcon account.
019d75c0moderate content
Moderates a single piece of text in real time, giving an immediate approve/reject decision and tags.
019d75c0search profiles
Searches the user database using various filters to find specific profiles.
019d75c0submit feedback
Sends moderation feedback (e.g., false positives) to improve the accuracy of the semantic engine.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
When you're working with user-generated content, you need to know what's real and what's garbage. This server lets your AI client run a full moderation suite, handling everything from instant checks to massive data dumps. You'll find tools here for moderate_content, import_batch, acknowledge_results, export_results, submit_feedback, list_profiles, get_profile, get_profile_by_social_id, and search_profiles.
Need to check a piece of text right now? Use moderate_content; your AI client sends the text and gets an immediate approve or reject decision along with relevant category tags. You can then process huge amounts of content at once by calling import_batch, which submits the data for asynchronous moderation and hands you a unique import ID.
Once the batch is done, you gotta deal with the results. You confirm receipt of processed data using acknowledge_results, and you pull down the full set of finalized moderation results with export_results.
Want to make the system smarter? You send moderation feedback—like flagging a false positive—using submit_feedback; that helps retrain and refine the semantic analysis engine.
Need context on the people posting? You can get a list of every user profile with list_profiles. If you know the Keepcon ID, get_profile pulls that specific user's profile. If you've got a social ID (like from Twitter or Facebook), get_profile_by_social_id gets the profile by that link. You can also narrow things down by running a search with search_profiles.
How Keepcon MCP Works
- 1 Subscribe to the server and provide your Keepcon API Key and Account Number.
- 2 Use your AI client to initiate the moderation flow (e.g.,
moderate_contentfor real-time checks, orimport_batchfor bulk uploads). - 3 Process the returned data—either by viewing the immediate decision or by calling
export_resultsto download the full batch results.
The bottom line is, you send the content and the AI client handles the entire moderation workflow, from submission to final data retrieval.
Who Is Keepcon MCP For?
Community managers who run forums or chats, security teams focused on policy compliance, and developers building content pipelines. If your app handles user-generated content, you need this. It solves the constant headache of manually reviewing thousands of comments and posts.
Automates the review of forum posts, chat logs, and social comments, ensuring that incoming content meets community standards before publishing.
Monitors incoming data streams for policy violations. They use the tools to filter out spam or illegal content based on natural language analysis.
Integrates semantic moderation checks into a new application feature. They use import_batch to process historical data or get_profile to link content to a user ID.
What Changes When You Connect
- Real-time decisions mean your users don't wait. Use
moderate_contentto check text instantly, letting your agent decide if content is safe before it's published. - Handle massive data dumps without breaking your system. Run
import_batchto process thousands of items, then useexport_resultswhen they're ready, keeping your API clean. - Never lose track of moderation status. Use
acknowledge_resultsto confirm you've processed a batch, andlist_profilesto get a full inventory of user data. - Go beyond simple keyword blocking. The server provides semantic tagging, letting you categorize content by intent (e.g., 'Aggressive Behavior') using
moderate_content. - Build a smarter system. When a decision is wrong, use
submit_feedback. This tells the engine how to do better, improving accuracy over time. - Connect content to users. Use
get_profile_by_social_idto find a user even if they only posted via a linked Twitter or Facebook account.
Real-World Use Cases
Handling a Viral Forum Spam Attack
A forum sees a sudden influx of spam. Instead of manually reviewing each post, your agent calls moderate_content on every incoming message. The server instantly rejects spam and tags it as 'Spam/Illegal Content,' keeping the community clean.
Reviewing Historical User Data
The security team needs to audit old chat logs. They use import_batch to upload the entire log archive. Later, they call export_results to pull the clean, moderated data set, giving them a full compliance record.
Building a User Profile Dashboard
A developer needs to link content to user accounts. They start by calling list_profiles to get all IDs, then use get_profile_by_social_id to pull a user's data based on their Twitter handle.
Fine-Tuning the Moderation Model
The moderation team notices a false positive. They use submit_feedback on the specific content, telling the engine it was safe. This feedback loop immediately improves the semantic engine's accuracy for future checks.
The Tradeoffs
Trying to check everything at once
A user might try to run moderate_content on a text, then immediately run export_results because they think it covers everything. This fails because export_results requires a prior batch upload via import_batch.
→
For bulk content, always start by calling import_batch to get an ID. Wait for the processing to finish, then call export_results using that ID. Only use moderate_content for single, immediate checks.
Ignoring user context
A developer only calls get_profile with a Keepcon ID, but the user actually posted using a linked Facebook account, so the tool returns nothing.
→
If you suspect the user is linked via social media, always try get_profile_by_social_id first. It handles common platforms like Facebook, Twitter, and Google.
Forgetting to acknowledge results
Running a large batch job and then just leaving the results pending. This clogs your queue and prevents you from tracking which moderation sets are finalized.
→
After you retrieve the data using export_results, you must call acknowledge_results to mark that data set as successfully processed and clean up the queue.
When It Fits, When It Doesn't
Use this server if your application generates or handles user-generated content (UGC) and you need automated moderation. This includes forums, chat apps, comment sections, and social feeds. You need it if you must classify content beyond simple keyword matching—you need semantic analysis.
Don't use this if your content is always vetted by a human editor before it hits the system, or if you only need simple spam filtering based on IP addresses. If you just need to list user names, use a simple directory service instead. The power here is connecting the content to the user via get_profile_by_social_id and then getting the moderation decision via moderate_content in a single workflow.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Keepcon. 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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manual content review is a time sink.
Today, if a moderator spots questionable content, they have to copy the text, paste it into a separate compliance dashboard, and wait for a review. If it's a batch, they export the CSV, open it in Excel, and manually tag rows that need attention. It's slow, and they'll miss things.
With the Keepcon MCP Server, your agent handles the whole thing. You send the text to `moderate_content`, and it instantly gives the decision and tags. You get the verdict right in your workflow, not in a spreadsheet.
Keepcon MCP Server: Profile Context and Moderation
Before, if you found bad content, you'd have to copy the username and then manually log into a separate user database to see who it belonged to. That's three different tabs and three logins.
Now, your agent runs `get_profile_by_social_id` to pull the user context and `moderate_content` on the text. You get the decision and the user's full profile—all in one go. The data flows instantly.
Common Questions About Keepcon MCP
How do I use the `moderate_content` tool? +
You call moderate_content and pass the text you want checked. It returns the decision (approve/reject) and the semantic tag immediately. This is for real-time checks.
What's the difference between `import_batch` and `moderate_content`? +
moderate_content is for single, instant checks. import_batch is for massive uploads; it starts the process and gives you an ID you must use later to get the results.
Can I find a user using `get_profile_by_social_id`? +
Yes. This tool lets you find a user profile by linking it to a social media ID (like Twitter or Facebook), which is useful when the user doesn't have a native platform ID.
After running a batch moderation job, what should I do? +
First, use export_results to get the data. Then, you must use acknowledge_results to signal that you've successfully processed the set of results.
How do I list all user profiles using the `list_profiles` tool? +
You call list_profiles with no arguments to get a list of all profiles. This is useful for checking the scope of users your Keepcon account tracks.
What is the purpose of the `submit_feedback` tool? +
The submit_feedback tool helps improve Keepcon's semantic engine. You submit feedback (like false positives) on moderation decisions to make the tagging more accurate over time.
When should I use the `acknowledge_results` tool? +
You use acknowledge_results after retrieving batch moderation results. This action clears the pending status, keeping your moderation queue clean and manageable.
How do I get a profile using the `get_profile` tool? +
The get_profile tool retrieves a user profile using a specific Keepcon ID. This is for querying users directly within your Keepcon system.
What is the difference between synchronic and asynchronic moderation? +
Synchronic (moderate_content) provides an immediate decision, while asynchronic (import_batch) is for large volumes where results are retrieved later via the export tool.
How do I ensure results are not exported twice? +
After retrieving results with export_results, use the acknowledge_results tool with the corresponding set_id to confirm processing.
Can I provide feedback on incorrect moderation decisions? +
Yes, use the submit_feedback tool to report false positives or negatives, helping the Keepcon engine learn and improve over time.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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