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Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP.
io.github.stabgan/openrouter-multimodal 是 ChatHome Skills 收录的 MCP 条目,来源为 Official MCP Registry,质量分 67/100。 作为 Model Context Protocol 服务器,它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具,让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录,每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势,完整算法说明见来源页。安装命令已列于上方,可直接复制使用。 在将 io.github.stabgan/openrouter-multimodal 加入生产 agent 工作流前,请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
npx -y @stabgan/openrouter-mcp-multimodal@4.5.1运行此命令前,请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-04T21:17:51.510662Z",
"publishedAt": "2026-05-04T21:17:51.510662Z",
"statusChangedAt": "2026-05-04T21:17:51.510662Z"
}
},
"server": {
"name": "io.github.stabgan/openrouter-multimodal",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "4.5.1",
"packages": [
{
"version": "4.5.1",
"transport": {
"type": "stdio"
},
"identifier": "@stabgan/openrouter-mcp-multimodal",
"registryType": "npm",
"environmentVariables": [
{
"name": "OPENROUTER_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "OpenRouter API key. Get one free at https://openrouter.ai/keys"
},
{
"name": "OPENROUTER_DEFAULT_MODEL",
"format": "string",
"description": "Default model for chat + analyze tools. Defaults to nvidia/nemotron-nano-12b-v2-vl:free."
},
{
"name": "OPENROUTER_OUTPUT_DIR",
"format": "string",
"description": "Sandbox root for save_path on generate_* tools. Defaults to the current working directory."
},
{
"name": "OPENROUTER_MAX_TOKENS",
"format": "string",
"description": "Default max_tokens for chat_completion when unset in the request."
},
{
"name": "OPENROUTER_PROVIDER_SORT",
"format": "string",
"description": "price / throughput / latency"
},
{
"name": "OPENROUTER_PROVIDER_IGNORE",
"format": "string",
"description": "CSV of provider slugs to exclude."
},
{
"name": "OPENROUTER_PROVIDER_ORDER",
"format": "string",
"description": "JSON array or CSV of preferred provider IDs."
},
{
"name": "OPENROUTER_PROVIDER_QUANTIZATIONS",
"format": "string",
"description": "CSV of quantization levels (fp16,int8)."
},
{
"name": "OPENROUTER_PROVIDER_REQUIRE_PARAMETERS",
"format": "string",
"description": "true/false. Require providers to support all request params."
},
{
"name": "OPENROUTER_PROVIDER_DATA_COLLECTION",
"format": "string",
"description": "allow/deny"
},
{
"name": "OPENROUTER_PROVIDER_ALLOW_FALLBACKS",
"format": "string",
"description": "true/false"
},
{
"name": "OPENROUTER_CACHE_RESPONSES",
"format": "string",
"description": "Enable response caching server-wide. Sends X-OpenRouter-Cache: true on every chat/analyze call unless overridden per-request. Zero tokens billed on cache hits."
},
{
"name": "OPENROUTER_INCLUDE_REASONING",
"format": "string",
"description": "Enable reasoning tokens passthrough server-wide. Adds _meta.reasoning to chat_completion responses for DeepSeek R1 / Gemini Thinking / Opus 4.7."
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/stabgan/openrouter-mcp-multimodal:4.5.1",
"registryType": "oci",
"environmentVariables": [
{
"name": "OPENROUTER_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "OpenRouter API key. Get one free at https://openrouter.ai/keys"
}
]
}
],
"repository": {
"url": "https://github.com/stabgan/openrouter-mcp-multimodal",
"source": "github"
},
"description": "Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP."
}
}