Turn Social Bug Reports into Jira Tickets Automatically
Stop losing critical bug reports buried in Twitter mentions. Build an automated pipeline with XPOZ MCP and Claude that monitors social media for product issues and creates actionable tickets in your issue tracker.
The Problem
Your users don't always file formal support tickets when something breaks. Instead, they tweet about it, post screenshots on Instagram, or rant in Reddit threads. This creates a fragmented picture of your product's health:
Bugs go undetected
Engineering teams miss issues reported on social media because no one is monitoring those channels systematically
Context gets lost
By the time someone manually finds a social bug report and creates a ticket, the original thread context, screenshots, and user details are scattered
Response time suffers
Hours or days pass between a user's frustrated tweet and your team becoming aware of the issue
Duplicate work
Without deduplication, the same bug gets reported multiple ways, creating redundant tickets and wasted triage time
The Workflow
This agentic workflow combines XPOZ for social media monitoring, Claude for intelligent processing, and your existing issue tracker for ticket creation.
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Find recent bug reports mentioning your product
>"Search Twitter for posts mentioning "Acme App" AND ("bug" OR "broken" OR "not working" OR "error" OR "crash") from the last 7 days. Include the post text, author username, engagement metrics, and timestamp."
Identify users experiencing specific errors
>"Find tweets containing "Acme App" AND "500 error" from users who have more than 100 followers. Get their usernames, follower counts, and the full post content."
Track bug report volume over time
>"Count how many tweets mentioned "Acme App crash" each week for the past month to identify if there's been a spike in crash reports."
Get context from discussion threads
>"For this tweet about an Acme App login issue, retrieve all replies to understand the full conversation and any workarounds users discovered."
Why XPOZ
No Platform API Keys Needed
Skip the Twitter developer application process and Instagram approval workflows. XPOZ handles authentication to all major platforms through a single connection.
Natural Language Queries
Ask Claude to "find bug reports from the last week" instead of constructing complex API calls with pagination, rate limiting, and response parsing.
Unified Multi-Platform Access
Monitor Twitter, Instagram, and Reddit through one interface. Users report bugs wherever they're most comfortable—your monitoring should cover all channels.
Historical Data Access
Query past posts to establish baselines and identify whether current bug volumes are unusual. Traditional API access often limits historical lookups.
CSV Export for Analysis
Export large result sets for deeper analysis, trend visualization, or compliance documentation without pagination headaches.
Frequently Asked Questions
Claude maintains awareness of recently created tickets and compares incoming bug reports against existing issues. It looks for semantic similarity—not just exact text matches—so "app crashes on login" and "can't sign in, keeps closing" get recognized as likely duplicates. You can configure the threshold for what constitutes a duplicate versus a new report.
The action layer integrates with any system that accepts API calls or webhooks. Common setups include Jira, Linear, GitHub Issues, Asana, and Notion databases. Claude formats the ticket content; you connect the output to your tracker's API or use a tool like Zapier for the final step.
XPOZ is read-only for safety and compliance reasons—it monitors and retrieves data but doesn't post on your behalf. However, you can build a notification workflow that alerts your support team with the ticket link and original post, enabling quick manual responses.
XPOZ uses intelligent caching with freshness checks. For most use cases, you'll get recent data within minutes. If you need the absolute latest posts, the `forceLatest` parameter bypasses caching, though this should be used selectively.
XPOZ supports language filtering in queries. You can monitor English posts, or specify other languages to capture bug reports from your international user base.
Get Started
Set up your social bug tracking pipeline in minutes:
Connect XPOZ: Add the remote MCP server at `https://mcp.xpoz.ai/mcp` to Claude Desktop or Claude.ai
Define your keywords: List your product names, feature names, and bug-related terms to monitor
Configure your tracker: Set up the API connection or webhook to your issue tracking system
Test the flow: Run a query for your product + "bug" and verify Claude extracts and formats the data correctly
Start with 100,000 free results per month—enough to monitor most products and refine your workflow before scaling up.
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