Xpoz MCP
Xpoz MCP is a remote social data API that lets AI agents search Twitter/X, Instagram, TikTok and Reddit without platform API keys.
The cheapest credible way to put cross-platform social data inside an AI agent, and the per-query credit model is what makes it work: Reddit and Twitter at 2 credits means a small team spends dollars, not a contract. Watch the platform mix, though — Instagram at 12 credits a query drains a Pro plan roughly six times faster than Twitter does, and the Free tier's 500 credits never refresh.
Verified 2h ago · liveness 78/100 · cite: rightaichoice.com/tools/xpoz-mcp
- Developers wiring social context into Claude, Codex or Gemini CLI agents
- Social listening and brand monitoring teams that want per-query spend instead of a listening contract
- Reddit and Twitter/X researchers pulling historical posts at volume on cheap credits
- Lead-gen, influencer discovery and competitive intelligence workflows
- Teams that need to post, reply or run social customer service — the API is read-only
- Anyone requiring push-based streaming or webhooks into their own stack
- Non-technical users who want a standalone GUI dashboard instead of an MCP client or terminal
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Skip Xpoz if Instagram or TikTok is your primary surface and you cannot model 12 or 5 credits per query, or if you need a clickable dashboard with seats, alerts and write access rather than an MCP endpoint for agents and scripts.
Credits are charged per query regardless of how many rows come back, so a broad search returning 3 posts costs the same as one returning 3,000.
Xpoz sits well below enterprise listening suites and above raw platform APIs you would otherwise build against yourself. Pro at $16/mo annual ($20 monthly) with 7,500 credits fits a solo developer or two-person social team doing a few thousand Reddit/Twitter queries a month. Max at $160/mo annual ($200 monthly) with 120,000 credits and cheaper overage suits an agency or growth team running continuous monitoring across all four platforms. Enterprise is custom for high-volume and unlimited
In short
Xpoz MCP — Xpoz MCP is a remote social data API that lets AI agents search Twitter/X, Instagram, TikTok and Reddit without platform API keys. Best for Developers wiring social context into Claude, Codex or Gemini CLI agents, Social listening and brand monitoring teams that want per-query spend instead of a listening contract, Reddit and Twitter/X researchers pulling historical posts at volume on cheap credits. Free to start; paid plans from $16/mo.
What's new in Xpoz MCP
Checked 9 days agoAcross the latest 10 updates: 10 news mentions.
TikTok API Pricing in 2026: What Is Free, What Costs Money, and the Alternatives
Xpoz breaks down TikTok's gated official APIs versus third-party TikTok data at $0.60–$1.88 per 1,000 calls, with a worked example.
Building a Social Listening AI Agent with Claude and xpoz MCP
Tutorial with code for building a social listening agent on Claude and the xpoz SDK, searching X, Reddit, Instagram and TikTok and writing a report.
Tracking Political Narratives Across Social Platforms During Elections: A Research Guide
Non-partisan method for defining claims, sampling posts and measuring narrative spread across X, Instagram, TikTok and Reddit during elections.
Social Media Data for iGaming Compliance and Affiliate Monitoring
Guide on monitoring iGaming affiliates, creators and promo codes across X, Instagram, TikTok and Reddit, including keyword sets and agent sweeps.
Instagram API Pricing in 2026: What Is Free, What Costs Money, and the Alternatives
Meta's Graph API is free but capped; third-party Instagram data APIs run $0.60–$2.70 per 1,000 calls, per Xpoz's 2026 pricing analysis.
Detecting Coordinated Inauthentic Behavior on Social Media: A Technical Guide
Xpoz publishes a network method for spotting coordinated inauthentic behavior across X, TikTok, Reddit and Instagram, with open tools and thresholds.
Best TikTok API Alternatives in 2026
Roundup of TikTok data alternatives: hosted APIs from $0.60 per 1,000 requests and scrapers from $1.50 per 1,000 results.
Apify vs Bright Data vs xpoz for Social Media Scraping (2026)
Vendor comparison of Apify, Bright Data and xpoz on X, Instagram, TikTok and Reddit, covering 2026 pricing and cost at 10K to 1M results.
Best Influencer Discovery Tools in 2026
Xpoz compares 2026 influencer discovery tools by creator databases, campaign platforms and social-data search on Instagram, TikTok, X and Reddit.
Best Social Searcher Alternatives in 2026
Comparison of Social Searcher alternatives spanning free alert tools, social listening dashboards and multi-platform data services.
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: October 2026
How we score →Key Features
- Search Twitter/X, Instagram, TikTok and Reddit posts from one remote MCP endpoint
- Query social data in natural language through Claude, Codex, Gemini CLI or OpenClaw
- No platform API keys or developer approval required
- MCP 2025 compliant server with Streamable HTTP transport
- OAuth 2.1 authentication with Google sign-in and token management
- Event resumption for long-running queries without restarting
- Type-safe TypeScript SDK published on npm as @xpoz/xpoz
- Python SDK published on PyPI
- CLI for terminal workflows and bulk exports
- Filter posts by date, author, language, location and engagement metrics
- Sentiment analysis, influence scoring, network visualization and trend detection on paid tiers
- Continuous monitoring via tracked keywords, users, subreddits and hashtags
- Custom data exports and bulk export options on Pro and above
- Field selection and cursor-based pagination for large result sets
- Smart caching with automatic invalidation and force-refresh
About Xpoz MCP
Xpoz is a remote MCP server that gives AI agents structured social data instead of a dashboard. You paste one endpoint, https://mcp.xpoz.ai/mcp, into Claude.ai as a custom connector, or run `claude mcp add --transport http --scope user xpoz-mcp` from Claude Code, Gemini CLI, Codex or OpenClaw. No Twitter API key, no Meta app review, no developer approval queue — the vendor quotes a 2-minute setup and a Google OAuth sign-in on first use. Once connected, you query Twitter/X, Instagram, TikTok and Reddit in plain English: "Find tweets about Claude AI from the last 7 days," "Get tweets mentioning 'MCP' with more than 100 likes," "Search Reddit posts about MCP servers in r/ClaudeAI." Behind the endpoint is an index the vendor sizes at billions of posts, with historical data, profile and follower metrics, hashtags, mentions and media URLs. Search tools filter by date, author, language, location and engagement; continuous monitoring auto-collects new posts matching tracked keywords, users, subreddits and hashtags. Paid tiers add premium tools — sentiment analysis, influence scoring, network visualization, trend detection and custom data exports. Type-safe TypeScript (npm @xpoz/xpoz) and Python (PyPI) SDKs plus a CLI cover scripted and bulk-export work, and the server is MCP 2025 compliant with Streamable HTTP, OAuth 2.1, event resumption, field selection, smart caching and cursor pagination. Billing is per query, not per row: Reddit and Twitter cost 2 credits, TikTok 5, Instagram 12, regardless of how many results come back. Free is 500 one-time credits — it does not refresh. Pro is $16/mo billed annually ($192) or $20/mo monthly for 7,500 credits; Max is $160/mo annually ($1,920) or $200/mo monthly for 120,000, with 10 tracked keywords/users and a 12-hour support SLA. Positioning is the point: Xpoz sits under a five-figure listening-suite contract and beside the official Twitter and Instagram APIs, which are free but gated and capped. Recent 2026 vendor guides
Behind the Verdict
Pick Xpoz when the agent is the product. If your Claude or Codex workflow already reasons over text and you just need it to see what people are posting about a brand, a competitor or a launch, one connector URL plus Google sign-in gets you there faster than any scrape-it-yourself pipeline. We'd reach for it for Reddit pain-point mining, influencer shortlisting and historical Twitter/X pulls, because those are the cheap credits — 2 per query, and row count doesn't move the bill. Pass on it if you need to post, reply or run social customer service. The server is read-only. Pass too if your architecture needs webhooks pushing new posts into your own database; monitoring here surfaces collected posts through the MCP tools, not as a push stream into your stack. And if non-technical teammates expect a dashboard with alerting and seats, an MCP client or terminal is the wrong front door. The closest alternative depends on what you're replacing. Against the official Twitter API, Xpoz trades developer approval, rate limits and reported $100–$5,000/month pricing for instant access and natural-language queries. Against Apify or Bright Data scrapers, you're buying a hosted index and an MCP transport instead of maintaining scraper code — the vendor's own 2026 comparison prices that work out at 10K to 1M results. Against Brandwatch or a listening suite, you lose seats, alerting and workflow tooling but skip the annual commitment. Where it bites: credit math. A Pro plan holds 7,500 credits, which is 3,750 Reddit queries but only 625 Instagram queries. Heavy IG monitoring needs Max or overage at $3 per 1,000 credits. Tracked keywords are capped too — 1 on Free, 3 on Pro ($5 each up to 6), 10 on Max — so a broad keyword set pushes you up a tier quickly. One caveat worth knowing
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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.
Runs `claude mcp add --transport http --scope user xpoz-mcp https://mcp.xpoz.ai/mcp --header "Authorization: Bearer YOUR_API_KEY"`, then asks the agent to find tweets mentioning their product from the last 7 days with more than 100 likes.
Outcome: Gets structured post data back inside the agent in about 2 minutes from install, with no Twitter developer application and no scraper code to maintain.
Sets up three tracked keywords for the brand, two competitors and a campaign hashtag, then asks Claude for a weekly sentiment and engagement digest drawn from continuously collected posts.
Outcome: Monitoring runs on 7,500 monthly credits at 2 credits per Reddit/Twitter query, replacing a listening-suite contract with a $16–20/mo line item.
Uses the buying-intent agent skill to search Reddit, Twitter/X, Instagram and TikTok with three search motions, scoring posts for purchase intent and exporting matches to CSV for the sales team.
Outcome: A prioritised lead report built from live social posts instead of a manual research pass, with costs tied to query count rather than result volume.
Use Cases
- Ask Claude to find tweets about your product from the last 7 days and summarise the sentiment.
- Monitor brand mentions, competitors and sentiment without buying an enterprise listening suite.
- Research Reddit discussions by subreddit to surface pain points and quotable customer feedback.
- Find influencers by scoring relevance, engagement, reach and authenticity on Twitter/X.
- Surface buying-intent leads from Reddit, Twitter/X, Instagram and TikTok and rank them into a report.
- Export Twitter/X posts to CSV at up to 500K rows per file for offline analysis.
- Build agents that answer questions about current social events using live post data.
- Detect bot networks and coordinated narrative campaigns across platforms.
Limitations
- Free tier gives 500 one-time credits that never refresh — once they are gone you must upgrade.
- Credits are charged per query, not per result, and the platform mix matters: Reddit and Twitter are 2 credits, TikTok 5, Instagram 12, so Pro's 7,500 monthly credits is roughly 625 Instagram queries or 3,750 Reddit queries.
- Overage is $3 per extra 1,000 credits on Pro and $2 on Max.
- Extra tracked keywords/users cost $5 each on Pro (capped at 6 terms) versus $2 each on Max (capped at 20).
as of 2026-09-22
Verification history
We have re-verified Xpoz MCP 8 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-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-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
Showing the 6 most recent of 8 verification passes.
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 developer or evaluator testing whether agent-driven social data fits their workflow before spending anything.
What this tier adds
Starting tier: 500 one-time credits, 1 tracked keyword or user, all core MCP tools, community support.
Pro
$16/mo
Max
$160/mo
Enterprise
Custom
Ideal for
High-volume buyers with compliance, custom-integration or unlimited-tracking requirements.
What this tier adds
Custom credits, unlimited tracked keywords and users, volume discounts, dedicated account manager and SLA, custom integrations and bulk exports.
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 sits well below enterprise listening suites and above raw platform APIs you would otherwise build against yourself. Pro at $16/mo annual ($20 monthly) with 7,500 credits fits a solo developer or two-person social team doing a few thousand Reddit/Twitter queries a month. Max at $160/mo annual ($200 monthly) with 120,000 credits and cheaper overage suits an agency or growth team running continuous monitoring across all four platforms. Enterprise is custom for high-volume and unlimited
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.
Developers: about 2 minutes — paste https://mcp.xpoz.ai/mcp into Claude.ai's connector settings or run one `claude mcp add` command, then sign in with Google for a free API key. SDK/CLI users: a few minutes more for `npm install @xpoz/xpoz` or the Python package. Non-technical analysts: longer, because there is no GUI — you work through an MCP client or terminal.
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 platform APIs: replace separate Twitter/X, Reddit, TikTok and Instagram credentials with one Xpoz MCP URL plus a Google-authenticated key.
- →From GummySearch: rebuild subreddit pain-point and keyword-alert monitoring using tracked subreddits and keywords, and query results through an agent instead of a dashboard.
- →From web scraping scripts: point existing pipelines at the TypeScript or Python SDK and drop the HTML parsing and rate-limit handling.
- →From a spreadsheet research workflow: use the CSV export skill to pull up to 500K Twitter/X rows per file into the same spreadsheet.
- ↗To an enterprise listening suite (Brandwatch, Sprout Social): rebuild monitored terms as dashboards and alerts where you need seats, alerting and write access.
- ↗To direct platform APIs: you would take on Twitter/X, Reddit, TikTok and Instagram developer approvals and their separate rate limits.
- ↗To a purpose-built Reddit tool: if Reddit is your only platform, a dedicated Reddit monitoring product may cover alerts without per-query credits.
Integrations
Resources & Guides
- Documentationxpoz.ai
Docs · Xpoz MCP
Full product docs from xpoz.ai
- Resourcexpoz.ai
Help · Xpoz MCP
Helpful link from xpoz.ai
- Resourcexpoz.ai
Faq · Xpoz MCP
Helpful link from xpoz.ai
- Resourcexpoz.ai
Blog · Xpoz MCP
Helpful link from xpoz.ai
- API Referencexpoz.ai
Sdk · Xpoz MCP
Methods, params, types from xpoz.ai
- Resourcexpoz.ai
Datasets · Xpoz MCP
Helpful link from xpoz.ai
- Resourcexpoz.ai
About · Xpoz MCP
Helpful link from xpoz.ai
Tutorials & Learning
YouTube returned 6 videos for “Xpoz MCP”, and we withheld 3: 3 did not mention Xpoz MCP. Showing the 3 we can prove are about Xpoz MCP.
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.
Olostep
Developer-first web data API that searches, scrapes, crawls, maps, and monitors the web through one endpoint for AI agents and RAG pipelines.
KeyAPI
One REST API key for pulling structured social data from 20+ platforms into AI agents and LLM pipelines.
Linkup
Web search API for AI agents, returning cited full-text answers with sub-200ms options.
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