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Understand Your Developer Community at Scale

Turn scattered developer feedback across social platforms into actionable insights. Track bug reports, feature requests, and community sentiment without manual monitoring.

Understand Your Developer Community at Scale

The Problem

Developer relations teams face an impossible monitoring challenge. Your community conversations happen everywhere—Twitter threads, Instagram comments, Reddit discussions—and critical feedback gets lost in the noise.

Bug reports slip through

Developers post issues on social media before (or instead of) opening tickets, and these reports never make it to your engineering team

Sentiment shifts go undetected

By the time you notice a documentation gap or API frustration pattern, dozens of developers have already churned

Manual monitoring doesn't scale

Your DevRel team spends hours scrolling feeds instead of building relationships and creating content

Platform API fragmentation

Each social platform requires separate API keys, rate limit management, and custom integration code

The Workflow

Xpoz MCP transforms social media chaos into structured developer intelligence through a simple three-step process.

Example Queries

Ask Claude in natural language. Here are some examples with the underlying API calls:

Find bug reports mentioning your SDK

>"Tool: getTwitterPostsByKeywords Query: "your-sdk-name" AND (bug OR error OR broken OR crash OR "doesn't work") Fields: id, text, authorUsername, createdAtDate, likeCount, replyCount"

countTweetsClaude uses countTweets to find bug reports mentioning your sdk.

Identify developers discussing integration challenges

>"Tool: getTwitterUsersByKeywords Query: "your-api-name" AND (integration OR implement OR documentation) Fields: username, name, followersCount, relevantTweetsCount, relevantTweetsLikesSum"

countTweetsClaude uses countTweets to identify developers discussing integration challenges.

Monitor sentiment around a recent release

>"Tool: getTwitterPostsByKeywords Query: "your-product v2.0" OR "your-product update" Fields: id, text, authorUsername, createdAtDate, likeCount, retweetCount StartDate: 2025-01-01"

countTweetsClaude uses countTweets to monitor sentiment around a recent release.

Track who's amplifying negative feedback

>"Tool: getTwitterPostInteractingUsers PostId: [viral-complaint-post-id] InteractionType: retweeters Fields: username, followersCount, isVerified, description"

countTweetsClaude uses countTweets to track who's amplifying negative feedback.

Why XPOZ

No platform API management

Access Twitter, Instagram, and Reddit data through a single MCP connection. Skip the OAuth flows, rate limit headaches, and API key rotation for each platform.

Natural language queries

Ask Claude to "find developers complaining about authentication in our SDK" instead of constructing complex API calls. The Model Context Protocol integration means your queries happen conversationally.

Bulk export for analysis

Download complete datasets as CSV for statistical analysis, visualization, or integration with your existing tools. Process thousands of mentions in your analytics stack of choice.

Boolean precision when needed

Simple queries work for exploration, but when you need exact filters—excluding retweets, targeting specific date ranges, combining AND/OR logic—the full query syntax is available.

Frequently Asked Questions

Traditional tools give you dashboards to look at. Xpoz gives you data to act on. Because it's an MCP server, you query through Claude and can immediately process results—generating tickets, drafting responses, or feeding downstream automations. There's no context switching between monitoring and action.

Yes. The same queries work for any public social content. Track how developers discuss competing SDKs, identify pain points with alternatives, and spot opportunities where your tools solve problems others don't.

Xpoz captures content in any language. Use the language filter parameter to focus on specific languages, or leave it open to capture your global community. Claude can help translate and analyze non-English feedback.

Pagination handles large result sets automatically—up to 1,000 users or 100 posts per page. Use date ranges to focus on recent activity, or export complete historical datasets via CSV for trend analysis over time.

Get Started

Connect Xpoz to Claude in under two minutes:

1

Open Claude.ai Settings → Connectors (requires Pro plan or higher)

2

Add custom connector with URL: `https://mcp.xpoz.ai/mcp`

3

Authenticate with your Google account

Your first 100,000 results per month are free. Start by asking Claude to find recent mentions of your developer tools—you'll likely discover feedback you've been missing.

Ready to Build Your Understand Your Developer Community at Scale?

Get started with 100,000 free results per month. No credit card required.