NexusAPI MCP Server

NexusAPI MCP Server

Enables AI agents to interact with NexusAPI's asynchronous generation API, including model discovery, schema inspection, task creation, and status retrieval.

Category
访问服务器

README

NexusAPI MCP server, Python, Node.js and n8n examples

An open-source MCP server and production-minded examples for the asynchronous NexusAPI generation flow.

MCP tools for AI agents

The stdio server exposes four tools:

  • nexusapi_list_models — search the live public model catalog;
  • nexusapi_get_model_schema — inspect the live OpenAPI fields for one model;
  • nexusapi_generate — create an asynchronous, potentially billable generation task;
  • nexusapi_get_task — retrieve task status, result or error.

The server does not hide model-specific validation. Agents should inspect the live schema and obtain user approval before calling the billable generation tool.

After this repository is published, use it from a compatible local MCP host with:

{
  "mcpServers": {
    "nexusapi": {
      "command": "npx",
      "args": ["-y", "github:mat12121212/nexusapi-examples"],
      "env": {
        "NEXUS_API_KEY": "replace-me"
      }
    }
  }
}

Requirements: Node.js 20+ and an existing NexusAPI key. The key remains in the local host environment; do not commit it to the repository.

The repository demonstrates one lifecycle shared by the model schemas published in the live NexusAPI OpenAPI document:

  1. Send POST /generate with a params object.
  2. Store the returned task_id.
  3. Poll GET /tasks/{task_id} with bounded exponential backoff.
  4. Stop on completed or failed.

The model-specific fields still come from the live schema. Do not copy parameters between models without checking the NexusAPI documentation and OpenAPI JSON.

Examples

Quick start: Python

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
export NEXUS_API_KEY="replace-me"
python python/kling_video.py

Quick start: Node.js

export NEXUS_API_KEY="replace-me"
node node/gpt-image.mjs

n8n

Import the JSON file from n8n/, then create the NEXUS_API_KEY environment variable in the n8n runtime. Review the model parameters before executing the workflow. A successful run can incur generation charges.

Safety notes

  • Keep the API key on the server. Never ship it in browser JavaScript.
  • A client timeout does not prove that a generation stopped. Save task_id and check it again.
  • Do not retry an ambiguous POST /generate automatically: the first request may have created a paid task.
  • Treat 422 as a request/schema problem. Change the request before retrying.
  • Respect 429 and temporary 5xx responses with bounded backoff.
  • Review every agent-proposed generation before allowing the billable MCP tool call.

Verification

Verified against the live NexusAPI OpenAPI document and the official MCP TypeScript SDK v2 on 2026-08-01. The included smoke test performs the MCP initialize handshake, lists tools and calls all four tools against a local mock API. No paid generation is used by the test.

Disclosure

This repository is maintained for NexusAPI. The examples are open source under the MIT License; use of the API itself is governed by the service terms and pricing.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选