Xpoz MCP
Social data API for AI agents via MCP, SDKs, and CLI
Xpoz is the easiest way to give an AI agent social media access — no API keys, no rate limits, one MCP setup. The credit-based pricing rewards low-volume query users but punishes Instagram-heavy workflows. For developers building social-aware agents, it's worth the trial credits. At $16/month Pro (yearly), it's a fraction of enterprise alternatives like Brandwatch or Meltwater (Meltwater runs $16K–70K/yr), but heavy Instagram scraping may require the Max tier.
Verified 8d ago · liveness 62/100 · cite: rightaichoice.com/tools/xpoz-mcp
- AI agents and developers needing social context without managing platform API keys
- Social media managers tracking brand mentions across multiple platforms on a budget
- Marketing researchers analyzing trends, competitors, and audience insights
- Threat detection teams identifying bot networks and coordinated campaigns
- Teams needing to post or engage on social media (read-only API)
- Users requiring real-time streaming or push-based updates
- High-volume Instagram scraping (12 credits/query burns credits fast)
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Skip Xpoz if you need to post or engage on social media, require real-time streaming, plan heavy Instagram scraping (12 credits/query), or want a GUI-only dashboard without API/MCP setup.
The Free tier's 500 credits are one-time and don't refresh — you'll hit a hard stop until you upgrade to Pro or Max.
Xpoz's pricing fits indie developers, small marketing teams, and budget-conscious researchers. At $16/mo Pro (yearly), it's dramatically cheaper than enterprise listening tools like Meltwater ($16K–70K/yr) or Brandwatch. For light usage, the Free tier (500 one-time credits) is a no-commitment trial. Heavier users can jump to Max at $160/mo, still far below most enterprise platforms.
In short
Xpoz MCP — Social data API for AI agents via MCP, SDKs, and CLI. Best for AI agents and developers needing social context without managing platform API keys, Social media managers tracking brand mentions across multiple platforms on a budget, Marketing researchers analyzing trends, competitors, and audience insights. Free to start; paid plans from $20/mo.
What's new in Xpoz MCP
Checked 2 days agoAcross the latest 4 updates: 4 news mentions.
Best Unified Social Media APIs in 2026 (Data Access Compared)
Comparison of unified social media APIs: read vs write capabilities and pricing.
Best Tools for Tracking Competitors on Social Media (2026)
Comparison of competitor tracking tools by price and coverage as of 2026.
How to Search Instagram Posts by Keyword (2026)
Three methods to search Instagram by keyword: native app, Google operators, programmatic.
Best Meltwater Alternatives in 2026 — Xpoz at $20/mo vs Meltwater $16K-70K/yr
Xpoz compared as Meltwater alternative: $20/mo vs $16K-70K/yr.
What people actually say about Xpoz MCP — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
- +Multi-platform API (Twitter, Instagram, TikTok, Reddit) in one interface.
- +No individual platform API keys required for setup.
- +MCP server enables quick Claude integration for AI agents.
- +Credit-based billing means no charge per returned row.
- +Includes sentiment analysis and engagement filtering features.
- −No community reviews or feedback to validate claims.
- −Credit costs vary per platform, potentially adding up fast.
- −Data coverage and accuracy are unverified by users.
- −Limited integration beyond MCP and SDKs; no native Zapier.
- −Support responsiveness and quality completely unknown.
- • No clear credit-to-post ratio; costs per query but row count unlimited could lead to high usage
Viability Score
How well maintained and how widely used is Xpoz MCP? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Search posts on Twitter/X, Instagram, TikTok, Reddit
- Filter by engagement metrics: likes, shares, comments
- Sentiment analysis on social media posts
- Retrieve profile info: follower counts, verification
- Continuous monitoring of keywords and users
- Historical data access with full archives
- Cross-platform social listening and trend analysis
- Influence mapping and network analysis
- Bot network and coordination detection
- Credit-based billing per query, not per row
- MCP server: Streamable HTTP, OAuth 2.1, event resumption
- TypeScript and Python SDKs
- CLI tool for terminal workflows
- Natural language querying via MCP
- Field selection for efficient data requests
About Xpoz MCP
Xpoz is a social data API that gives AI agents, developers, researchers, and marketers access to over 3 billion posts from Twitter/X, Instagram, TikTok, and Reddit — all through a single MCP server, TypeScript/Python SDKs, and a CLI. No platform API keys needed. Setup takes about two minutes. The service uses a credit system: 2 credits per Reddit/Twitter query, 5 for TikTok, 12 for Instagram. The Free tier offers 500 one-time credits to test drive; Pro ($16/month yearly or $20 monthly) gives 7,500 credits/month with overage at $3/1k credits, and Max ($160/month yearly or $200 monthly) bumps that to 120,000 credits/month at $2/1k overage. Enterprise is custom. Credits are consumed per query, not per row returned — a big cost advantage over row-based APIs. Key capabilities include searching recent posts, filtering by engagement metrics, sentiment analysis, profile retrieval, and continuous monitoring of tracked keywords or users. The MCP server works with Claude.ai, Claude Desktop, Claude Code, Gemini CLI, Codex, and OpenClaw. The platform also supports historical data access, viral content analysis, and influence mapping. Where Xpoz differentiates is its zero-setup remote MCP server and cross-platform coverage. For AI agents needing social context without managing multiple API accounts, Xpoz is a clean solution. Credit-based billing keeps costs predictable for low-to-moderate query volumes, but heavy users on Instagram (12 credits/query) may burn through credits fast.
Behind the Verdict
Xpoz fills a specific niche: giving AI agents structured social data without the headache of managing multiple platform API keys or building scrapers. Its MCP server is genuinely remote — you add a URL to Claude.ai or run one command in Claude Code, Gemini CLI, Codex, or OpenClaw, and you're querying Twitter/X, Instagram, TikTok, and Reddit within minutes. The 'no API keys' promise holds: you authenticate with a single Xpoz key, not four platform-specific ones. For developers, that's a real time-saver. The credit system is straightforward — you pay per query, not per row, which is friendlier to bursty workloads where you pull a lot of data in one query. At 2 credits per Reddit/Twitter query, 5 per TikTok, and 12 per Instagram, the economics favor text-heavy platforms. The Free tier's 500 one-time credits are enough to kick the tires, but they don't refresh, so you'll quickly need Pro if you plan ongoing monitoring. Pro at $16/mo (yearly) is a bargain compared to enterprise listening tools — Meltwater alone runs $16K–70K/year. That said, Xpoz is read-only: you can't post, reply, or engage, which limits its use for social media management. It also lacks real-time streaming — you poll the API rather than get push updates. And the docs, while solid, are thin on advanced use cases like building custom analytics on top of the SDKs. Overall, Xpoz is a strong fit for AI agents, indie researchers, and budget-conscious marketing teams. It's not a full social listening suite like Brandwatch or Sprout Social, but for structured data access at a fraction of the cost, it's hard to beat.
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Real-world workflow fit
Concrete scenarios for the personas Xpoz MCP actually fits — and what changes day-one when you adopt it.
Add social context to a Claude Code assistant. Run 'claude mcp add --transport http --scope user xpoz-mcp https://mcp.xpoz.ai/mcp --header "Authorization: Bearer YOUR_API_KEY"' then ask the agent to find tweets about a topic.
Outcome: Agent can search recent posts, filter by engagement, and analyze sentiment in real time, enabling it to respond to current events with accurate social data.
Monitor competitor mentions. Set up a tracked keyword for a competitor's brand and use continuous monitoring to collect posts, analyze sentiment, and track engagement over time.
Outcome: Get weekly automated reports on competitor sentiment and viral content, without manual searches, at a fraction of the cost of enterprise listening tools.
Investigate coordinated bot networks. Use influence mapping and network analysis tools to identify clusters of accounts that amplify a narrative.
Outcome: Uncover suspicious coordination patterns and produce evidence for threat intelligence reports, with historical data available for deep dives.
Use Cases
- Monitor brand mentions and sentiment across social platforms in real time.
- Analyze competitor activity and benchmark performance using historical data.
- Identify viral content and engagement patterns for marketing campaigns.
- Track influencer networks and conversation dynamics with influence mapping.
- Detect bot networks and coordinated disinformation campaigns at scale.
- Build AI agents that respond to current social events with contextual data.
- Generate leads by monitoring buying-intent keywords on Twitter and Reddit.
- Track campaign performance and audience insights without limits.
Limitations
- The free tier provides only 500 one-time credits with no refresh, and queries are charged per request rather than per result.
- The credit cost varies by platform (Instagram is most expensive at 12 credits per query).
- Real-time streaming is not explicitly mentioned; data availability depends on continuous collection.
- No native write capabilities (posting, replying) — read-only API.
as of 2026-08-07
Verification history
We have re-verified Xpoz MCP 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Xpoz MCP tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers or researchers evaluating Xpoz with a one-time 500-credit trial, no credit card required.
What this tier adds
Starting tier: 500 one-time credits, 1 tracked keyword/user, full MCP functionality, community support.
Pro (annual)
$16/mo (billed $192/yr)
Ideal for
Growing teams and developers needing 7,500 credits/month with priority email support and 24h response.
What this tier adds
Adds 7,500 monthly credits, overage at $3/1k, 3 tracked keywords/users, premium tools, and priority support.
Pro (monthly)
$20/mo
Ideal for
Teams that prefer monthly billing flexibility over committing to an annual plan, at $20/mo.
What this tier adds
Same features as annual Pro but billed monthly at $20/mo (20% more than annual).
Max (annual)
$160/mo (billed $1,920/yr)
Ideal for
Agencies and power users with high query volumes needing 120,000 credits/month and SLA support.
What this tier adds
Bumps to 120,000 credits/month, overage at $2/1k, 10 tracked keywords/users, and 12h SLA support.
Max (monthly)
$200/mo
Ideal for
High-volume users who want monthly billing without annual commitment, at $200/mo.
What this tier adds
Same features as annual Max but billed monthly at $200/mo (20% more than annual).
Enterprise
Custom
Ideal for
Large organizations with custom credit volumes, unlimited keywords/users, and dedicated support needs.
What this tier adds
Custom pricing, unlimited tracked keywords/users, volume discounts, dedicated account manager, and custom integrations.
Where the pricing makes sense
The company stage and team size where Xpoz MCP's pricing actually pencils out — and where peers do it cheaper.
Xpoz's pricing fits indie developers, small marketing teams, and budget-conscious researchers. At $16/mo Pro (yearly), it's dramatically cheaper than enterprise listening tools like Meltwater ($16K–70K/yr) or Brandwatch. For light usage, the Free tier (500 one-time credits) is a no-commitment trial. Heavier users can jump to Max at $160/mo, still far below most enterprise platforms.
Setup time & first value
How long it actually takes to get something useful out of Xpoz MCP — broken out by persona, not the marketing-page minute.
For technical users, first value in under 2 minutes: run the MCP add command or install SDK, then query. Non-technical users may need 15–30 minutes to understand credit costs and API concepts, but the web connector (Claude.ai) is a simple URL paste.
Switching to or from Xpoz MCP
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual scraping: switch to Xpoz's MCP server or SDKs to eliminate scraping maintenance and rate-limit issues.
- →From other social APIs: replace per-platform keys with a single Xpoz key and credit-based billing.
- ↗To enterprise listening tools (Brandwatch, Meltwater): keep historical archives and advanced analytics, at a much higher cost.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Xpoz MCP
Common stack mates teams adopt alongside Xpoz MCP, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Xpoz Mcp vs Truleo
Truleo and Xpoz MCP serve entirely different buyers. Truleo is a specialized law enforcement intelligence platform that unifies siloed data (RMS, CAD, body cameras, jail calls) to generate case leads and cut report writing time — it's powerful but niche and expensive. Xpoz MCP is a developer-friendly social data API for AI agents, offering affordable credit-based access to billions of posts across Twitter, Instagram, TikTok, and Reddit. If you're a police department, pick Truleo; if you're a builder needing social context, pick Xpoz.
Xpoz Mcp vs Presto Voice
Presto Voice and Xpoz MCP serve fundamentally different needs: Presto automates drive-thru ordering for QSR chains, while Xpoz provides social data for AI agents. If you run a multi-location QSR and want to boost revenue via voice AI, Presto is the clear choice. If you're a developer or marketer needing cross-platform social data without managing API keys, Xpoz's freemium pricing and MCP integration win. No overlap – pick based on your domain.
Xpoz Mcp vs Screenplayiq
ScreenplayIQ and Xpoz MCP serve completely different needs. Choose ScreenplayIQ if you're a film professional wanting data-driven script feedback and box office forecasts. Choose Xpoz MCP if you're a developer or marketer needing a social data API to power AI agents, monitor brand mentions, or analyze trends across multiple platforms. They are not competitors but complementary tools for distinct workflows.
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Frequently Asked Questions
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