Agentery pricing intelligence · MCP server profile · Java Xiaohongshu
MCP server profile · independently tracked by Agentery
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Java Xiaohongshu

↗ github.com/bzlrj/java-xiaohongshu-mcp official repository

MCP server for Xiaohongshu (Little Red Book) automation. Provides standardized interfaces for AI agents to login, publish content, search, comment, and retriev…

MCP serverPricing checked daily
Agentery value verdictBelow the comparable medianfrom $4/mo
Observed entry price$4/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed10 Jul 2026latest priced read of the page
Website liveness28 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Java Xiaohongshu

MCP server for Xiaohongshu (Little Red Book) automation. Provides standardized interfaces for AI agents to login, publish content, search, comment, and retriev…

MCP

Pricing & plans

Observed public pricing for Java Xiaohongshu, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Team · market position

$4 /mo

96.5% below the Team flat median. Basis: Team flat plans in Social Media Automation, same buyer tier and billing unit, 60 providers, USD monthly, observed 2026-07-10. Separately, across all Team-tier plans in the niche regardless of billing unit (83 providers): cheaper than 71 of them.
this agent · $4
$49median $114.50$180.25
pricing observed 2026-07-10 · page rechecked daily · source evidence retained
What should this agent charge?

The current price sits below the comparable median.

pricing recommendation
$4
$49–$180.25
$114.50

$4 sits below the observed Team flat range ($49–$180.25) — around the 2th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

96.5% below the Team flat median.

get_provider_profile · plan history

Team observed 2026-07-10.

pricing recommendation

~2nd percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 60 providers).

confidence

high; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$4 / month
$4 lowestmedian $114.50$344 highest
Competitive value position. At $4/month, this plan is 96.5% below the Team flat median (60 providers).
2nd
-96.5%
$49–$180.25

Is Java Xiaohongshu good value?

How its price compares with genuinely comparable providers.

Below the comparable median

Below the comparable median for its buyer tier.

Basis: Team flat plans at the same billing unit (60 providers), USD monthly, pricing observed 2026-07-10. The Team plan ($4/mo) sits 96.5% below that median of $114.5. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$4/mo
Hosting model—
Price benchmarkapplicable
How it compares

Compared with Social Media Automation

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Java Xiaohongshu's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "java_xiaohongshu_mcp",
  "name": "Java Xiaohongshu",
  "url": "https://github.com/bzlrj/java-xiaohongshu-mcp",
  "logo": "https://github.com/bzlrj.png?size=200",
  "niche": "social-media-automation",
  "category": "sales-marketing-revops",
  "short_summary": "MCP server for Xiaohongshu (Little Red Book) automation. Provides standardized interfaces for AI agents to login, publish content, search, comment, and retriev…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown; the project is available under an MIT license.",
    "confidence": "medium",
    "source_url": "https://github.com/bzlrj/java-xiaohongshu-mcp",
    "checked_at": "2026-10-24T02:07:26.082Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/bzlrj/java-xiaohongshu-mcp"
  ],
  "last_checked": "2026-10-24",
  "profile_checked": null,
  "price_checked": "2026-10-24",
  "how_to_connect": {
    "website": "https://github.com/bzlrj/java-xiaohongshu-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "docker run --rm -e PLAYWRIGHT_BROWSERS_PATH=/ms-playwright -v pw-browsers:/ms-playwright j",
    "repository": "https://github.com/bzlrj/java-xiaohongshu-mcp",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "both",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "docker run --rm -e PLAYWRIGHT_BROWSERS_PATH=/ms-playwright -v pw-browsers:/ms-playwright j",
    "note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
    "evidence": {
      "sources": [
        "page_text:hosted",
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": ": \" xiaohongshu-mcp \" , \" url \" : \" http://localhost:8080/mcp \" , \" transport \" : \" streamable-http \" } } ⚠️ 注意事项 登录与发帖均依赖有效的 Cookie / 登录态。 评论与发帖功能需要合法的 xsec_token 参数。 项",
      "url": "https://github.com/bzlrj/java-xiaohongshu-mcp",
      "observed_day": "2026-10-27",
      "age_days": 2,
      "hosted_evidence": "wording: \"streamable-http\"",
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"ongshu xiaohongshu-mcp Resources Readme MIT license Activity Stars 15 stars Watc\"",
    "observed_day": "2026-10-27",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-07-10",
      "age_days": 111,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 93,
    "uptime_7d": 1,
    "checked_at": "2026-10-28T02:38:29.110Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}