MaestroQA MCP. Audit Agent Performance & Export QA Scores
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MaestroQA gives your AI client access to detailed customer service quality assurance data. It lets you list support tickets, retrieve real-time Internal Quality Scores (IQS), sync external CSAT metrics, and run asynchronous exports of performance records.
Use it when you need to audit agent work or analyze trends across a large ticket volume via natural language commands.
What your AI agents can do
Get export download links
Pulls the final download link once a previously requested data export is ready.
Get ticket qa details
Retrieves all Internal Quality Scores and grading information for one specific support ticket ID.
List qa agents
Returns a list of all agents tracked in MaestroQA, helping you identify who to audit.
Retrieve the Internal Quality Score (IQS) and full details for a specific support ticket.
Fetch lists of tickets, allowing you to filter results by date or status to see pending reviews.
Initialize a background job that compiles raw QA data for a specific date range, providing links when ready.
Send external Customer Satisfaction (CSAT) scores directly into MaestroQA to pair them with internal performance grades.
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MaestroQA MCP Server: 7 Tools for QA Data Management
Use these tools to manage the full lifecycle of your customer support quality assurance process, from listing tickets to bulk data exports.
019d75cbget export download links
Pulls the final download link once a previously requested data export is ready.
019d75cbget ticket qa details
Retrieves all Internal Quality Scores and grading information for one specific support ticket ID.
019d75cblist qa agents
Returns a list of all agents tracked in MaestroQA, helping you identify who to audit.
019d75cblist qa rubrics
Displays every available evaluation rubric used by the team for scoring tickets.
019d75cblist qa tickets
Lists all support tickets and their current QA statuses, allowing filtering via optional parameters.
019d75cbpush csat scores
Sends external customer satisfaction scores into MaestroQA's database for correlation with internal grades.
019d75cbrequest qa data export
Starts a background job to compile and export raw QA data across a specified date range.
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What you can do with this MCP connector
You wanna audit your team? MaestroQA gives your AI client deep access to quality assurance data from customer support tickets. You can use this server when you need to track agent performance, check metrics across huge volumes of tickets, or sync external satisfaction scores right into the system.
Checking Ticket Scores and Details
You've got a ticket ID; you wanna know how it stacked up? The get_ticket_qa_details tool pulls all the Internal Quality Scores (IQS) and gives you the full grading breakdown for that specific support ticket. If you need to see what's going on across your whole department, you start with list_qa_tickets.
This lists every support ticket and its current QA status; you can filter those results by date or by any status to quickly find pending reviews.
Managing Agents and Rubrics
To figure out who needs coaching, use list_qa_agents to get a list of every agent tracked in MaestroQA. You also need to know what the team is grading against. The list_qa_rubrics tool displays all available evaluation rubrics your team uses for scoring tickets.
Syncing External Data and Exporting Records
Don't forget about customer feedback outside of the system. You can use push_csat_scores to send external Customer Satisfaction (CSAT) scores directly into MaestroQA, letting you pair those metrics with internal performance grades for a full picture. When you need deep analysis that goes beyond what your AI client can display live, you initialize an export job using request_qa_data_export.
This starts a background process to compile all the raw QA data across a specific date range. Once that job is done, you call get_export_download_links and it pulls the final download link for your records.
What You Actually Do With These Tools
- Audit Specific Tickets: Give the agent one ticket ID; it returns the Internal Quality Score (IQS) and full grading details.
- Find Pending Reviews: Call
list_qa_ticketsto fetch lists of tickets, letting you filter by status or date. - Review Agent Performance: Get a list of all agents with
list_qa_agents, then see what criteria they're judged on usinglist_qa_rubrics. - Correlate Data Points: Send external CSAT scores via
push_csat_scoresso you can cross-reference them against internal QA grades. - Analyze Trends: Use
request_qa_data_exportto compile raw QA data for a date range, and then grab the final link withget_export_download_linkswhen it's ready.
How MaestroQA MCP Works
- 1 Subscribe to the MaestroQA server and input your API Token.
- 2 Your AI client uses natural language to call a specific tool (e.g., 'List tickets for last month').
- 3 The agent executes the request, retrieves the QA data, and presents it back to you in conversation.
The bottom line is that your AI client handles all the API calls; you just talk to it.
Who Is MaestroQA MCP For?
QA Managers who need quick oversight of agent performance. Support Leads who must audit agents on demand. Operations Teams dealing with mismatched data sources (like CSAT scores and internal grades). If your job involves anything more complex than looking at a simple dashboard, you need this.
Runs bulk reports by calling 'request_qa_data_export' for quarterly trend analysis.
Quickly checks agent performance on a specific ticket using 'get_ticket_qa_details' without opening the dashboard.
Maintains data hygiene by calling 'push_csat_scores' to ensure external metrics match internal scores.
What Changes When You Connect
- Audit agents instantly. Instead of drilling into dashboards, you use 'get_ticket_qa_details' to pull the IQS for any ticket ID in one command.
- Analyze time trends with bulk exports. Use 'request_qa_data_export' to get raw data spanning months, which is better than relying on limited dashboard filters.
- Tie external scores to internal grades. You can call 'push_csat_scores' to merge CSAT feedback with QA scores, giving a 360-degree view of performance.
- Keep track of everyone. Use 'list_qa_agents' and 'list_qa_rubrics' together to quickly see who is being graded and by what standard.
- Get the right data at the right time. You list tickets with 'list_qa_tickets', then use that small dataset to feed a more detailed export request.
Real-World Use Cases
Investigating a low CSAT score.
A user notices a ticket has a poor CSAT score. They tell their agent, 'What's the internal QA score for this?' The agent calls 'get_ticket_qa_details', retrieving the IQS and grading status immediately so the manager knows if the problem was process failure or skill gap.
Running a quarterly performance review.
A lead needs to compare Q1 vs. Q2 performance metrics. They use 'request_qa_data_export' for both quarters, then 'get_export_download_links' when the files are ready, giving them two massive CSVs for deep analysis.
Onboarding a new QA standard.
An Ops team needs to update their grading standards. They first use 'list_qa_rubrics' to see what exists, then they run 'list_qa_agents' to confirm who needs training on the new rubrics.
Batch processing for compliance.
A manager has 50 tickets that need review. Instead of manually searching, they ask their agent to 'List all pending QA tickets.' The agent uses 'list_qa_tickets' and presents the list right there.
The Tradeoffs
Trying to get a full year's data in one go.
Asking, 'Show me all QA scores for 2024.' This is vague and the API doesn't know what date range you mean.
→
You must specify the dates. Use 'request_qa_data_export' and provide both a start_date and an end_date. The agent will handle the async export process.
Assuming list_qa_tickets gives all data.
Seeing a ticket listed via 'list_qa_tickets' but not knowing the actual IQS score or rubric used.
→ Use 'get_ticket_qa_details' next. This tool pulls the deep metadata, giving you the full scoring breakdown for that specific ticket.
Over-relying on live chat data only.
Thinking MaestroQA has access to CSAT scores from your separate Zendesk or Salesforce system automatically.
→ It doesn't. You must manually connect the data by using 'push_csat_scores'. This tool takes the external score and feeds it into MaestroQA.
When It Fits, When It Doesn't
Use this server if your primary need is auditing, reporting, or correlating QA scores with other metrics (like CSAT). You need a system that can handle both real-time lookups ('get_ticket_qa_details') and massive data backfills ('request_qa_data_export').
Don't use it if you just want to view tickets on a standard dashboard, or if your goal is merely communication (use a messaging tool instead). Also, don't try to retrieve the download link without first calling 'request_qa_data_export'; those tools are sequential. You must initiate the export job before you can check for the links using 'get_export_download_links'.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MaestroQA. 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 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
The Manual QA Audit Process is a Nightmare.
Right now, auditing performance means jumping through hoops. You open your ticketing system dashboard, then you have to switch tabs to the scoring report, and if you want historical data, you spend 20 minutes setting date filters and hitting 'Export.' Then you manually copy-paste agent names into a spreadsheet so you know who did what.
With MaestroQA, that whole dance disappears. You just ask your agent: 'What was Agent X's performance last quarter?' The system calls the necessary tools and gives you the actionable data summary right in the chat.
MaestroQA MCP Server: Get Scores, Don't Guess.
Before this, correlating a low CSAT score with an internal QA grade was guesswork. You had to export the raw data from two different systems and manually cross-reference ticket IDs—a tedious task prone to errors.
Now you use 'push_csat_scores.' It takes your external feedback and maps it directly into MaestroQA's records, letting you see performance gaps instantly.
Common Questions About MaestroQA MCP
How do I get all the raw QA data for my team using request_qa_data_export? +
You call 'request_qa_data_export' and provide a specific start and end date. This starts an asynchronous export job, so you'll need to use 'get_export_download_links' later to get the final file.
Can I list tickets that are pending QA review using list_qa_tickets? +
Yes. You can call 'list_qa_tickets' and provide parameters (like status='Pending') to filter the results, giving you a quick overview of what needs attention.
What tool do I use if I only want to check one ticket's score? +
Use 'get_ticket_qa_details'. This tool takes a single ticket ID and gives you the complete scoring breakdown, including IQS and grading dates.
Does MaestroQA handle CSAT scores from non-Maestro sources? +
Yes. Use 'push_csat_scores' to sync external customer satisfaction metrics into the system for correlation with internal QA grades.
How do I use `list_qa_agents` to get a roster of all monitored support agents? +
It returns a list of every agent tracked in MaestroQA. This function establishes the scope for your quality monitoring, showing which accounts are included in your system's QA reports.
What is the purpose of `list_qa_rubrics`? Does it show all available grading standards? +
list_qa_rubrics pulls a definitive list of every evaluation rubric you can use. This helps you confirm which scoring guidelines are active and ready for QA review.
After running an export, how do I actually get the file using `get_export_download_links`? +
You pass the unique export ID to this tool. It fetches the secure, time-sensitive URLs you need to download the raw data files for analysis.
When I use `get_ticket_qa_details`, what specific audit metadata does it retrieve about a ticket? +
It provides deep metadata beyond just the score. You get details like who graded the ticket, when they graded it, and the full breakdown of the rubric criteria used.
What is an Internal Quality Score (IQS)? +
IQS is the grade assigned to a ticket during the QA process based on your rubrics. The agent can retrieve this score using the get_ticket_qa_details tool.
How do I download a data export? +
First, request the export using request_qa_data_export. Once processed, use get_export_download_links with the provided ID to retrieve the download URL.
Where do I find my API Token? +
Log in to MaestroQA, go to Settings > API, and generate a new token. Note that the API is also referred to as 'Rippit' in technical documentation.
Use it with your favorite AI tools
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