Agentery pricing intelligence · MCP server profile · Wechat
MCP server profile · independently tracked by Agentery
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Wechat

↗ github.com/lw396/wechat-mcp official repository

MCP server enabling AI agents to interact with Windows WeChat: send messages, manage contacts, handle group chats, and control WeChat operations via MCP client…

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 liveness26 Oct 2026alive · separate from pricing

What it does

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

Wechat

MCP server enabling AI agents to interact with Windows WeChat: send messages, manage contacts, handle group chats, and control WeChat operations via MCP client…

MCP

Pricing & plans

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

Pricing · observed daily
Team · market position

$4 /mo

97.3% below the Team flat median. Basis: Team flat plans in Desktop Automation, same buyer tier and billing unit, 8 providers, USD monthly, observed 2026-07-10. Separately, across all Team-tier plans in the niche regardless of billing unit (38 providers): cheaper than 11 of them.
this agent · $4
$81.50median $150$212.25
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
$81.50–$212.25
$150

$4 sits below the observed Team flat range ($81.50–$212.25) — around the 0th 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

97.3% below the Team flat median.

get_provider_profile · plan history

Team observed 2026-07-10.

pricing recommendation

~0th percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 8 providers).

confidence

medium; 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 $150$450 highest
Competitive value position. At $4/month, this plan is 97.3% below the Team flat median (8 providers).
1st
-97.3%
$81.50–$212.25

Is Wechat 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 (8 providers), USD monthly, pricing observed 2026-07-10. The Team plan ($4/mo) sits 97.3% below that median of $150. 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 Desktop 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 →

Wechat'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": "wechat_mcp",
  "name": "Wechat",
  "url": "https://github.com/lw396/wechat-mcp",
  "logo": "https://github.com/lw396.png?size=200",
  "niche": "desktop-automation",
  "category": "developer-tools-infra",
  "short_summary": "MCP server enabling AI agents to interact with Windows WeChat: send messages, manage contacts, handle group chats, and control WeChat operations via MCP client…",
  "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 was found; this is an open-source WeChat MCP tool with installation instructions but no listed plan or fee.",
    "confidence": "medium",
    "source_url": "https://github.com/lw396/wechat-mcp",
    "checked_at": "2026-10-24T03:24:00.431Z",
    "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/lw396/wechat-mcp"
  ],
  "last_checked": "2026-10-24",
  "profile_checked": null,
  "price_checked": "2026-10-24",
  "how_to_connect": {
    "website": "https://github.com/lw396/wechat-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "git clone https://github.com/lw396/wechat-mcp.git cd wechat-mcp 安装依赖: go mod tidy 编译: GOO",
    "repository": "https://github.com/lw396/wechat-mcp",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "git clone https://github.com/lw396/wechat-mcp.git cd wechat-mcp 安装依赖: go mod tidy 编译: GOO",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "、发送消息、下载附件、浏览联系人或群聊等。 项目演示 安装指南 方法一: 下载预编译版本 访问 Releases 页面下载编译版本。 方法二: 从源码编译 克隆本仓库: git clone https://github.com/lw396/wechat-mcp.git cd wechat-mcp 安装依赖: go mod tidy 编译:",
      "url": "https://github.com/lw396/wechat-mcp",
      "observed_day": "2026-10-24",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"ver wechat wechatferry Resources Readme MIT license Activity Stars 18 stars Watc\"",
    "observed_day": "2026-10-24",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-25",
      "age_days": 31,
      "verified_day": "2026-09-25",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "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": 270,
    "uptime_7d": 1,
    "checked_at": "2026-10-26T02:46:58.828Z",
    "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."
}