Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
使用MiniMax MCP进行AI图片分析和网络搜索。通过MiniMax API实现图片理解和网络搜索功能。适用于:图片分析、视觉问答、图像内容提取。 --- name: MiniMax图片识别 description: 使用MiniMax MCP进行AI图片分析和网络搜索。通过MiniMax API实现图片理解和网络搜索功能。适用于:图片分析、视觉问答、图像内容提取。 metadata: {"openclaw":{"requires":{"bins":["mcporter"]}}} --- MiniMax 图片识别 MCP 使用MiniMax MCP进行AI图片分析和网络搜索。 功能特性 - 🖼️ **图片分析** - AI理解图片内容,回答关于图像的问题 - 🌐 **网络搜索** - 执行网络搜索并获取结构化结果 - 🔍 **视觉问答** - 基于图片进行问答交互 必要配置 1. 安装uvx 2. 配置mcporter.json 编辑 <workspace>/config/mcporter.json,添加MiniMax服务器: 3. 获取API Key 从MiniMa Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
MiniMax图片识别 is best for general automation workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
使用MiniMax MCP进行AI图片分析和网络搜索。通过MiniMax API实现图片理解和网络搜索功能。适用于:图片分析、视觉问答、图像内容提取。 --- name: MiniMax图片识别 description: 使用MiniMax MCP进行AI图片分析和网络搜索。通过MiniMax API实现图片理解和网络搜索功能。适用于:图片分析、视觉问答、图像内容提取。 metadata: {"openclaw":{"requires":{"bins":["mcporter"]}}} --- MiniMax 图片识别 MCP 使用MiniMax MCP进行AI图片分析和网络搜索。 功能特性 - 🖼️ **图片分析** - AI理解图片内容,回答关于图像的问题 - 🌐 **网络搜索** - 执行网络搜索并获取结构化结果 - 🔍 **视觉问答** - 基于图片进行问答交互 必要配置 1. 安装uvx 2. 配置mcporter.json 编辑 <workspace>/config/mcporter.json,添加MiniMax服务器: 3. 获取API Key 从MiniMa
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Feb 25, 2026
Vendor
Abbabb123
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/abbabb123/minimax-mcp.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Abbabb123
Protocol compatibility
MCP
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
curl -LsSf https://astral.sh/uv/install.sh | sh
bash
# 安装uv (Python包管理器) curl -LsSf https://astral.sh/uv/install.sh | sh
json
{
"mcpServers": {
"MiniMax": {
"command": "uvx",
"args": ["minimax-coding-plan-mcp", "-y"],
"env": {
"MINIMAX_API_KEY": "your-minimax-api-key",
"MINIMAX_API_HOST": "https://api.minimaxi.com"
}
}
}
}bash
mcporter list # 应该显示 MiniMax 服务器
bash
# 分析图片URL mcporter call 'MiniMax.understand_image(imageUrl: "https://example.com/image.jpg", prompt: "描述这张图片的内容")' # 分析本地图片 mcporter call 'MiniMax.understand_image(imagePath: "/path/to/image.png", prompt: "这张图片里有什么")'
bash
mcporter call 'MiniMax.web_search(query: "大模型最新新闻", numResults: 5)'
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
使用MiniMax MCP进行AI图片分析和网络搜索。通过MiniMax API实现图片理解和网络搜索功能。适用于:图片分析、视觉问答、图像内容提取。 --- name: MiniMax图片识别 description: 使用MiniMax MCP进行AI图片分析和网络搜索。通过MiniMax API实现图片理解和网络搜索功能。适用于:图片分析、视觉问答、图像内容提取。 metadata: {"openclaw":{"requires":{"bins":["mcporter"]}}} --- MiniMax 图片识别 MCP 使用MiniMax MCP进行AI图片分析和网络搜索。 功能特性 - 🖼️ **图片分析** - AI理解图片内容,回答关于图像的问题 - 🌐 **网络搜索** - 执行网络搜索并获取结构化结果 - 🔍 **视觉问答** - 基于图片进行问答交互 必要配置 1. 安装uvx 2. 配置mcporter.json 编辑 <workspace>/config/mcporter.json,添加MiniMax服务器: 3. 获取API Key 从MiniMa
使用MiniMax MCP进行AI图片分析和网络搜索。
# 安装uv (Python包管理器)
curl -LsSf https://astral.sh/uv/install.sh | sh
编辑 <workspace>/config/mcporter.json,添加MiniMax服务器:
{
"mcpServers": {
"MiniMax": {
"command": "uvx",
"args": ["minimax-coding-plan-mcp", "-y"],
"env": {
"MINIMAX_API_KEY": "your-minimax-api-key",
"MINIMAX_API_HOST": "https://api.minimaxi.com"
}
}
}
}
从MiniMax开放平台获取API Key:
mcporter list
# 应该显示 MiniMax 服务器
# 分析图片URL
mcporter call 'MiniMax.understand_image(imageUrl: "https://example.com/image.jpg", prompt: "描述这张图片的内容")'
# 分析本地图片
mcporter call 'MiniMax.understand_image(imagePath: "/path/to/image.png", prompt: "这张图片里有什么")'
mcporter call 'MiniMax.web_search(query: "大模型最新新闻", numResults: 5)'
mcporter list MiniMax --schema
minimax-mcp/
├── SKILL.md # Skill说明文档
└── README.md # 使用指南
MIT
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/snapshot"
curl -s "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/contract"
curl -s "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Rank
80
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Rank
74
Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)
Traction
No public download signal
Freshness
Updated 2d ago
Rank
72
An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)
Traction
No public download signal
Freshness
Updated 2d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T05:37:47.343Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Abbabb123",
"href": "https://github.com/abbabb123/minimax-mcp",
"sourceUrl": "https://github.com/abbabb123/minimax-mcp",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T02:25:43.438Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T02:25:43.438Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/abbabb123-minimax-mcp/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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