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@z_ai/mcp-server weekly downloads statistics

By z_ai · npm · MCP servers

MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities

View on npm Fresh · Oct 17, 2026

@z_ai/mcp-server has 5,399 recorded weekly downloads on npm, a decrease of 41.4% over the past 30 days.

It ranks #1074 of 2,251 tracked npm listings by weekly downloads.

Over 90 days, weekly downloads changed by -41.8%.

PluginStats has 543 daily observations since Apr 23, 2025; the latest is from Oct 17, 2026.

Weekly downloads
5,399
Official API · Oct 17, 2026
7-day growth
-46.7%
-4.7K weekly downloads
30-day growth
-41.4%
-3.8K weekly downloads
90-day growth
-41.8%
-3.9K weekly downloads
Rank
#1074
Among tracked npm listings

About @z_ai/mcp-server

ZAI MCP Server

中文文档 | English Document

A Model Context Protocol (MCP) server that provides AI capabilities powered by Z.AI.

Available Tools

This server provides specialized tools for different image and video analysis tasks:

Image Analysis Tools

1. ui_to_artifact - Convert UI screenshots to various artifacts • Generate frontend code from designs • Create AI prompts for UI recreation • Extract design specifications • Generate natural language UI descriptions

2. extract_text_from_screenshot - OCR and text extraction • Extract code from screenshots with proper formatting • Extract terminal output and logs • Extract documentation and text content • Supports programming language hints for better accuracy

3. diagnose_error_screenshot - Error diagnosis and troubleshooting • Analyze error messages and stack traces • Identify root causes • Provide actionable solutions • Suggest prevention strategies

4. understand_technical_diagram - Technical diagram analysis • Analyze architecture diagrams • Understand flowcharts and UML diagrams • Explain ER diagrams and sequence diagrams • Identify design patterns

5. analyze_data_visualization - Data visualization insights • Extract insights from charts and graphs • Identify trends and patterns • Detect anomalies • Provide business implications

6. ui_diff_check - UI comparison for visual regression • Compare expected vs actual UI implementations • Identify visual discrepancies • Provide detailed difference reports • Prioritize issues by severity

7. analyze_image - General-purpose image analysis (fallback) • Use when specialized tools don't fit your needs • Flexible understanding of any visual content • Comprehensive image description and analysis

Video Analysis Tools

8. analyze_video - Video content analysis • Understand video content and context • Extract key information from videos • Analyze video structure and elements

Environment Variables

• Z_AI_MODE - The platform to use for AI services (default: ZHIPU) ZHIPU or ZAI • Z_AI_API_KEY - Your API key For ZAI: Use ZAI platform https://z.ai/model-api

For ZHIPU: Use Zhipu AI platform https://bigmodel.cn

Usage

Use this MCP Server in Claude Code

It is recommended to use the version Node.js 18+, Claude Code 2.0.14+.

Note: You need to configure Z_AI_MODE as ZAI or ZHIPU depending on the platform.

For ZAI Use,

For ZHIPU Use,

Use this MCP Server in Others MCP Client

For Z.ai Use, refer the Vision MCP Doc

For ZhiPU Use, refer the Vision MCP Doc

Description from the npm listing.

  • zai
  • mcp
  • vision

Where @z_ai/mcp-server sits in the listing

Each band is one page of 20. Weekly downloads on a log scale. Placement is projected from weekly downloads, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.

All npm2,248 listings · 113 pages · page 54, #14 (overall #1074)
All npm: every listing in weekly downloads order
PNG SVG
MCP servers253 listings · 13 pages · page 11, #5 (overall #205)
MCP servers: every listing in weekly downloads order
PNG SVG

Charts

Images: 30d · 1y · all time · 1600×900 dark

Adoption over time

@z_ai/mcp-server weekly downloads on npm, last 90 days: 5,399 weekly downloads as of Oct 17, 2026, -41.8% over 90 days.@z_ai/mcp-serverWeekly downloads on npm · Last 90 days5,399downloads / week-41.8% over 90 days010K20K30K40K50KJul 19Aug 3Aug 18Sep 2Sep 17Oct 2Oct 17downloads / weekobservedarchived (Internet Archive)no observationsJul 20, 2026 – Oct 17, 2026 · 90 observations · Updated Oc…pluginstats.com
@z_ai/mcp-server weekly downloads on npm, last 90 days: 5,399 weekly downloads as of Oct 17, 2026, -41.8% over 90 days.
PNG SVG

7/30/90-day growth

@z_ai/mcp-server weekly downloads growth on npm: -46.7% over 7 days, -41.4% over 30 days, -41.8% over 90 days.@z_ai/mcp-serverWeekly downloads growth on npm5,399downloads / week now7-day growth-4,725 weekly downloads-46.7%30-day growth-3,810 weekly downloads-41.4%90-day growth-3,872 weekly downloads-41.8%Growth vs. nearest observation to each baseline date · Updated Oct 17, 2026pluginstats.com
@z_ai/mcp-server weekly downloads growth on npm: -46.7% over 7 days, -41.4% over 30 days, -41.8% over 90 days.
PNG SVG

Ranking history

@z_ai/mcp-server npm ranking history: currently #1074 (by weekly downloads).@z_ai/mcp-servernpm ranking · by weekly downloads · Last 90 days#1074current rank#300#400#500#600#700#800#900#1000#1100Jul 20Aug 4Aug 19Sep 3Sep 18Oct 3Oct 18rankOct 17, 2026 – Oct 18, 2026 · 2 observations · Updated Oct 17, 2026pluginstats.com
@z_ai/mcp-server npm ranking history: currently #1074 (by weekly downloads).
PNG SVG

Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.

Recent observations

Full history (543)
Recent weekly downloads observations for @z_ai/mcp-server
Date (UTC)Weekly downloadsChange vs. previous
5,399-1.9K
7,317-923
8,240-1.6K
9,800-2.1K
11,9310
11,931+1K
10,891+767
10,124+1K
9,104+954
8,150+151
7,999-3.9K
11,884-2.2K
14,062-3.7K
17,802—

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Data source

Weekly downloads (trailing 7 complete days) come from the official npm downloads API. Downloads include CI and mirrors and are not equivalent to installs or users. npm publishes no ratings.

Listing: https://www.npmjs.com/package/@z_ai/mcp-server. First seen Oct 16, 2026; last successful collection Oct 18, 2026. See the methodology.