Sobot MCP. Manage tickets and agent status via conversation.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Sobot connects your AI agent directly to a major customer support platform. It lets you run complex operations—like checking live agent status, auditing chat history, or finding deep knowledge base articles—using nothing but natural conversation.
You can list open tickets with `list_tickets`, get full details for any ticket using `get_ticket_details`, and even create new issues instantly via `create_ticket`.
What your AI agents can do
Create ticket
Creates a brand new support ticket record in the system.
Get agent status
Pulls the current online or busy status for a specific support agent.
Get knowledge detail
Retrieves the full text and details of a specified knowledge base article.
You tell the agent to list, check details on, or create entirely new support tickets.
The system checks if individual agents are currently online and ready to take chats using get_agent_status and list_agents.
You can search the knowledge base (list_knowledge) and pull the full, structured content of an article with get_knowledge_detail.
The agent pulls historical chat transcripts or provides summaries of organization-wide support activity.
You can list all registered users/customers in the system using list_users.
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Supported MCP Clients
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Sobot MCP Server: 10 Tools for Customer Support Ops
These ten tools let your AI agent perform every core function of a modern helpdesk, from listing tickets to retrieving policy documents.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Sobot on Vinkius019d8482create ticket
Creates a brand new support ticket record in the system.
019d8482get agent status
Pulls the current online or busy status for a specific support agent.
019d8482get knowledge detail
Retrieves the full text and details of a specified knowledge base article.
019d8482get org summary
Generates an overview report summarizing overall organizational support activity metrics.
019d8482get ticket details
Gets all the specific information associated with a single ticket ID.
019d8482list agents
Returns an array of all available support agents and their current status.
019d8482list chat history
Retrieves a chronological list of past customer chat conversations for review.
019d8482list knowledge
Provides a searchable index listing all available knowledge base articles and their titles.
019d8482list tickets
Lists all active customer support tickets, showing key details like status and creation date.
019d8482list users
Retrieves a list of registered customers or users within the system.
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.
- Import from OpenAPI, Swagger, or YAML specs
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- Built in DLP, auth, and compliance on every call
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- Publish to catalog or keep private
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sobot. 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.
Sifting through support dashboards shouldn't feel like archaeology.
Right now, managing high-volume support is a painful process. You log into the main platform, jump to the 'Tickets' tab to see if there are issues. Then you switch over to the 'Agents' dashboard just to check who's free. If you need policy info, you have to open the separate Knowledge Center and manually search through dozens of articles. It’s a cycle of clicking tabs and copy-pasting IDs.
With Sobot MCP Server, all that happens in one conversation. You tell your agent what you need—say, 'Check ticket #456'—and it runs `get_ticket_details` instantly. Need an answer? It runs `get_knowledge_detail`. The result is immediate data delivered directly to your chat window.
Sobot MCP Server: Full control over ticket and user data.
Today, if you want a full picture—knowing who filed the ticket (`list_users`), what it's about (`get_ticket_details`), and which agent is working on it right now (`get_agent_status`)—you have to open three separate screens and cross-reference the data manually.
Now, you ask your client for an 'Overview of Ticket #456.' It runs all the necessary tools behind the scenes, giving you one single, complete answer. That's what makes it different.
What you can do with this MCP connector
Sobot hooks your AI agent right into a major customer support platform. Forget clicking around in dozens of web tabs; you just ask your agent to handle complex operations for your whole support team using natural conversation. It's like having an ops manager sitting next to you, ready to run reports or check on agents' status without ever needing you to touch the main dashboard.
Managing Tickets
To keep track of the workflow, you can use list_tickets to get a list of all active customer support tickets, showing key info like their current status and when they were created. If you need to deep-dive into one specific issue, you run get_ticket_details using a ticket ID to pull every piece of information attached to it.
You can also generate entirely new issues instantly with create_ticket, letting your agent log the problem straight into the system.
Monitoring Agent Availability
The system lets you check out who's actually available. First, run list_agents to get an array listing every support person and their current status. If you need to know if a specific agent is online or busy right now, use get_agent_status with that agent’s name. This keeps the whole team coordinated so nobody misses a call.
Deep Knowledge Retrieval
When someone asks a question, your agent doesn't guess; it looks up the answer. You start by calling list_knowledge, which gives you a searchable index of all the knowledge base articles and their titles available. Once you know what article you need, run get_knowledge_detail to retrieve the full, structured content for that specific topic.
Auditing Interactions and Accounts
To audit how support is running, your agent can pull historical chat transcripts by calling list_chat_history, giving you a chronological list of past customer conversations. For big-picture performance metrics, use get_org_summary to generate an overview report summarizing overall organizational support activity. You can also get visibility into the user base itself; run list_users to retrieve a complete list of all registered customers and users in the system.
019d8482-76f7-727b-990a-73edc29348c3 
How Sobot MCP Works
- 1 Subscribe to this server on Vinkius. Enter your Sobot App ID and App Key.
- 2 Connect your preferred AI client (Claude, Cursor, etc.) to the MCP Server endpoint.
- 3 Start by prompting the agent with a task, like 'What are my open tickets?' The agent runs
list_ticketsand gives you the data.
The bottom line is that your AI client talks directly to Sobot's API layer, running specific tools in response to simple language prompts.
Who Is Sobot MCP For?
This tool is for the support manager who spends too much time clicking through dashboards just to figure out if an agent is free. It’s also for the operations team that needs a single source of truth across tickets, knowledge articles, and chat history without jumping between three different systems.
You use this to monitor overall team performance with get_org_summary and audit agent availability via list_agents, keeping track of SLAs across the board.
When a customer calls in, you ask your AI client to run get_ticket_details and immediately look up relevant procedures using get_knowledge_detail—all before typing out the first reply.
You oversee service quality by reviewing long-term activity trends, pulling full chat logs with list_chat_history, and tracking which knowledge articles are most frequently used.
What Changes When You Connect
- Get immediate visibility into team resources. Instead of checking a dashboard, ask the agent to run
get_agent_statusfor any specific employee, confirming their availability in seconds. - Stop sifting through emails for ticket data. Use
list_ticketsand then follow up withget_ticket_detailsto get all relevant customer info—all within a single prompt chain. - Never waste time writing answers from scratch again. First, use
list_knowledgeto find the article title, then runget_knowledge_detailfor the full text to draft a perfect response. - Track team performance without manual reports. The agent runs
get_org_summary, giving you high-level metrics on support volume and activity across your entire organization. - Build better processes by auditing past work. Run
list_chat_historyto review exactly what was said, making it easier to spot systemic issues or gaps in knowledge articles.
Real-World Use Cases
The ticket needs more context.
A customer calls about a refund, but the agent can't find the necessary policy. Instead of leaving the customer on hold to search the manual, they ask their AI client: 'Find the refund rules.' The agent runs list_knowledge, finds the article, and executes get_knowledge_detail, pulling the exact process steps for the support engineer to read back.
Need to staff up quickly.
It’s 3 PM, and three major tickets are stuck waiting for an agent. The manager asks their client: 'Who is available right now?' The agent runs list_agents and immediately tells the manager who can take a ticket, bypassing any manual status checks.
A user reports a problem, but we don't know if they exist.
The team needs to validate if the person reporting the issue is even a registered customer. They run list_users first. If successful, they can then use the returned IDs in conjunction with get_ticket_details to confirm ownership and priority.
End-of-day report required.
Instead of logging into three different reporting dashboards, the operations lead asks: 'Give me a summary of today's support volume.' The agent runs get_org_summary, providing immediate, high-level performance data without requiring manual data compilation.
The Tradeoffs
Manual Dashboard Navigation
A user tries to find out who is available by clicking through the 'Team View' tab, filtering by status (Online), and then checking individual agent profiles.
→
Don't click anything. Just prompt your client: 'Run list_agents.' It pulls all that data instantly for you.
Searching the Web UI
A support engineer gets a question about product eligibility and spends five minutes clicking through internal links to find the answer.
→
Ask your client: 'Search the knowledge base for eligible products.' It runs list_knowledge then get_knowledge_detail, giving you the text immediately.
Guessing Ticket Status
The team assumes a ticket is pending because it's old, but they can’t confirm if it was assigned to someone.
→
Don't assume. Run get_ticket_details for the specific ID. It gives you the definitive status and assignment history.
When It Fits, When It Doesn't
Use Sobot if your core workflow involves coordinating human teams (agents), managing structured data (tickets/users), or referencing a large, defined corpus of internal information (knowledge base). This is perfect for high-volume support roles.
Don't use it if you are only looking up simple facts that don't involve the official ticketing system. For example, if you just need to know someone's email address and they aren't a registered user in Sobot, this server won't help. If your problem is purely about internal communication (like sending an email), use a general messaging tool instead of trying to force it through list_users.
Common Questions About Sobot MCP
How do I check if a support agent is online using `get_agent_status`? +
You simply ask your AI client to run get_agent_status and provide the name or ID of the agent. The tool returns their current status (e.g., Online, Busy) directly.
What is the difference between `list_tickets` and `get_ticket_details`? +
list_tickets shows you a summary of many tickets—like a list view with ID and status. You run get_ticket_details when you know the specific ticket ID and need all the deep, granular information about that one issue.
Can I use Sobot to find policy details? Which tool should I use? +
Yes. First, run list_knowledge to search titles for keywords like 'refund.' Once you find the article title, use get_knowledge_detail to pull the actual text content.
Do I need to list users before creating a ticket? +
No. You can run create_ticket immediately. However, if you need to verify who is filing the ticket or needs service, running list_users first helps confirm their identity.
What happens if I run `create_ticket` but don't include a priority level? +
The tool returns an explicit validation error. It tells you exactly which required field is missing or improperly formatted, so you know immediately what to fix.
When I use `list_chat_history`, what data points can my agent access? +
The history retrieval gives you the timestamp, the user ID, and the full message content for every exchange. You get a clear record of who said what and when.
How do I ensure Sobot is connected properly before running `list_tickets`? +
You must provide both your Sobot App ID and the corresponding App Key in the client configuration. The agent will fail if either key pair isn't set up correctly.
Can I use `get_org_summary` to track performance across multiple departments? +
It provides high-level metrics, but you must scope the request by department ID or team name. The summary is limited to the specific organizational segment you query.
How do I obtain my Sobot App ID and Key? +
You need to contact your Sobot business manager or support personnel to apply for your unique appid and app_key.
Can I check if an agent is currently online? +
Yes. Use the get_agent_status tool with the specific agent ID to retrieve their real-time status, including whether they are online, busy, or offline.
Is it possible to retrieve knowledge base articles through the agent? +
Yes! You can list available articles using list_knowledge and retrieve the full content of a specific document using the get_knowledge_detail tool.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.