Automate content governance and semantic tagging. 
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Keepcon automates content moderation and semantic analysis for user-generated content. It lets your AI agent instantly check text for policy violations, tag content by category, and manage large queues of submissions.
You can process texts in real time or import massive batches for background review.
What your AI can do
Acknowledge results
Marks moderation results as received, clearing them from the pending queue.
Export results
Retrieves all moderated content that was submitted in a large batch.
Submit feedback
Sends moderation feedback, such as identifying false positives, to improve the system's accuracy.
Send text immediately to get an approval decision and category tag.
Submit huge volumes of content for background moderation and retrieve the results later.
Export pending decisions or mark processed batches as acknowledged to keep your queue clean.
List, search for, and retrieve specific user profiles using their social or internal IDs.
Submit feedback on moderation decisions to help the system learn and become more precise.
Ask an AI about this
Compatible AI Apps
OAuth 2.0 Compatible Gemini Waiting for input…
Keepcon: 9 Moderation Tools
These tools allow your agent to handle the entire lifecycle of moderated content, from initial submission and real-time checking to profile retrieval and system feedback.
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Start using Keepcon on VinkiusAcknowledge Results
Marks moderation results as received, clearing them from the pending queue.
Export Results
Retrieves all moderated content that was submitted in a large batch.
Submit Feedback
Sends moderation feedback, such as identifying false positives, to improve the...
Get Profile By Social Id
Gets a user profile when you only have their social media handle (like Twitter or...
Get Profile
Fetches a user's profile details using their internal Keepcon ID.
Import Batch
Submits large amounts of content for moderation, which returns an ID for tracking.
Moderate Content
Checks single pieces of text immediately for approval status and semantic tags.
List Profiles
Fetches a list of all user profiles available in your account.
Search Profiles
Searches the user database using specific filters to find targeted profiles.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
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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 connection provides 9 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The mess of manual content review
Right now, managing a forum or chat stream means endless clicking. You check comments one by one, copy text into a separate moderation tool for tagging, and then you manually decide if the post should be approved or rejected. If it's a large volume—say, a viral event—you spend hours copying data between tabs just to get an idea of how bad the content is.
With this MCP, your agent handles the whole process in one go. You simply ask it to moderate the incoming stream, and you immediately get actionable results, like 'REJECT' with a specific tag. The entire tedious copy-paste cycle disappears.
Keepcon gives you full control over moderation.
You no longer have to rely on simple keyword filters. You can ask the MCP to run `moderate_content` which uses semantic analysis, understanding context like 'Aggressive Behavior' instead of just checking for a banned word. Plus, you can use `get_profile_by_social_id` to tie that content back directly to an identified user.
The system moves from reactive review to proactive governance. You build compliance checks right into your workflows, making the process automatic and auditable.
What your AI can actually do with this
You need to moderate the constant stream of comments, forum posts, and messages without hiring a full-time team just for monitoring. This MCP connects your AI client directly to Keepcon's moderation engine. Your agent checks text against policy guidelines, giving immediate 'approve/reject' decisions and semantic tags. If you have hundreds or thousands of submissions, the tool handles batch processing asynchronously, letting you retrieve results later.
You can also manage the entire lifecycle by listing user profiles and submitting feedback to improve the system’s accuracy over time. It all connects through Vinkius, giving your agent a single point of access for governance tasks.
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Here's how it actually works
The bottom line is you get an automated feedback loop: submit content, check decisions, manage results, and improve the model using the same agent workflow.
Subscribe to this MCP, then enter your Keepcon API Key and Account Number.
Your agent calls a tool like import_batch to start moderating content or runs moderate_content for real-time checks.
The system returns the moderation decision (approve/reject) and tags. You can then use export_results to pull down the final, bulk results.
Who is this actually for?
Community Managers who are tired of manually checking every comment thread. Security teams needing to enforce policy compliance across multiple channels. Developers building applications that require real-time content validation.
Automates the review process for forums and chats, allowing them to tag problematic posts instantly without reading every one.
Filters incoming content streams to ensure they meet specific policy requirements before being published or stored.
Integrates semantic checks into an application's workflow, validating user input data types and appropriateness during development.
What Changes When You Connect
Instant decisions: Use moderate_content to check any text in real time. Your agent gets an immediate approve/reject decision and a tag, so you don't wait for a batch process.
Handle scale with confidence: When dealing with thousands of posts, run import_batch. This processes the content offline, letting you pull results later using export_results without timing out.
Maintain data hygiene: After processing a large set of items, use acknowledge_results to mark them as handled. This keeps your moderation queue accurate and prevents repeat work.
Profile visibility: Need to know who posted something? Use get_profile_by_social_id or search_profiles to pull up user details using just their social media handle.
System improvement: The tool lets you submit feedback via submit_feedback. This isn't just moderation; it actively trains the semantic engine to be better over time.
See it in action
The forum thread cleanup
A community manager gets a new batch of posts. Instead of reading them, they ask their agent to import_batch the content. The agent runs the moderation and then uses export_results to pull down all 50 rejected items for manual review.
Filtering competitor spam
A security team needs to check a user's history. They use search_profiles with specific filters, then use get_profile on the resulting IDs to validate if that account is associated with known bad actors.
Testing new content guidelines
A developer wants to see how a piece of text performs. They call moderate_content first for an instant decision, then they use submit_feedback if the result is wrong, helping refine their own policy before full deployment.
Onboarding new staff
A team lead needs to verify all active user accounts. They run list_profiles to see everyone, then use get_profile_by_social_id for key users to check their status across different social networks.
The honest tradeoffs
Relying on single checks
Assuming that just checking one post's moderation decision is enough to clean up a whole thread. You only get the tag and status, but nothing about the user or context.
Always combine actions. First, use get_profile to identify the author, then run moderate_content on their specific posts, and finally use export_results to pull all related data in one go.
Manual queue management
After running a large batch job, you have 100 pending results. You manually track which ones were reviewed, leading to double-counting or missed cleanup.
Use the acknowledge_results tool immediately after your team reviews the data set. This clears the queue and keeps records accurate.
Searching too vaguely
Asking the agent to 'find a user who talks about politics' without criteria, resulting in hundreds of irrelevant profiles.
Always use search_profiles with specific filters (e.g., date range, keyword). Then narrow down results by calling get_profile on the most promising candidates.
When It Fits, When It Doesn't
Use this MCP if your core problem is content governance: you need to moderate text and manage user data in a systematic way. This toolset excels at defining rules, checking compliance (via moderate_content), handling volume (import_batch and export_results), and improving the underlying model (submit_feedback). Don't use this if you just need to read static data; for that, basic database connectivity is enough. If your goal is complex workflow orchestration across multiple unrelated services—say, sending an email after moderation—you still need other tools. Keepcon handles the content and user side of things, period.
Questions you might have
How do I use Keepcon MCP for real-time moderation? +
You run moderate_content directly through your agent. It takes text as input and immediately returns a decision (approve/reject) along with any semantic tags it finds.
Is there a way to moderate huge amounts of posts using Keepcon MCP? +
Yes, use import_batch. This sends your content for background moderation and gives you an ID. You then wait and retrieve the full results later with export_results.
Can I link a user profile to their moderated posts using Keepcon MCP? +
You can use get_profile or search_profiles. This lets your agent pull up specific user details, which you can then cross-reference with the content that was flagged.
What if I think a moderation decision is wrong? How do I fix it using Keepcon MCP? +
You use submit_feedback. This tool lets your agent send detailed feedback, like flagging false positives. The system uses this input to retrain its semantic engine and improve accuracy over time.
What credentials do I need to connect Keepcon MCP? +
You must provide a valid Keepcon API Key and an Account Number. These keys establish your connection rights and prove you have access to the service.
After running batch moderation, how do I clear out old results using `acknowledge_results`? +
acknowledge_results lets you confirm receipt of processed data. Running this tool clears pending records from the queue, keeping your system clean and accurate for future runs.
How can I find a user profile if they don't have an associated forum account? Does Keepcon MCP support social IDs? +
Yes, use get_profile_by_social_id. This tool accepts external identifiers like Twitter or Facebook IDs to pull up the correct user profile record.
If I need to find a specific type of user among thousands, is there a better way than listing all profiles? +
You should use search_profiles. This tool lets you apply specific filters, which narrows down the results set and helps you quickly pinpoint the exact users you're looking for.
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.
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