Afro.tools MCP Server

Afro.tools MCP Server

Provides AI agents with structured, verified specs for African APIs like Wave and Paycard, enabling automatic integration code generation without manual documentation parsing.

Category
访问服务器

README

Afro.tools — AI-ready infrastructure for African APIs

Integrate Wave, Paycard, and any African API in a single prompt.

African APIs are production-grade. What's been missing is a standard, machine-readable format that AI agents can consume directly — without parsing documentation pages or guessing at request shapes.

Afro.tools fills that gap: a static, open-source registry of structured specs for African APIs. Each spec is verified against the live API and exposes exactly what an AI agent needs to generate correct integration code on the first try.


How it works

graph LR
    A["specs/ — open source"] -->|GitHub raw URLs| B["MCP server\nmcp.afro.tools"]
    B -->|MCP protocol| C["AI agent\nClaude · Cursor · Copilot · ..."]
    C -->|generates| D["Integration code\nin your app"]
    A -->|plugin| C

What is a spec?

A spec lives at specs/{category}/{provider}/{capability}/ and contains exactly two files:

  • schema.json — ATSS-compliant description of the API capability (endpoint, auth, input/output schemas, gotchas)
  • canonical_example.ts — TypeScript implementation using native fetch, compiles with tsc --noEmit

Each provider also has a provider.json at the root of its folder:

specs/payment/paycard/
├── provider.json                    ← metadata + description + example_prompt
├── create_payment/
│   ├── schema.json
│   └── canonical_example.ts
├── verify_payment/
└── webhook_payment_completed/

See ATSS.md for the full specification.


Providers

<!-- tableau généré automatiquement par le pipeline — ne pas éditer manuellement -->

Provider Category Country Capabilities Status
Paycard payment 🇬🇳 3 ✅ AI Ready
Djomy payment 🇬🇳 7 4 verified · 3 ready
LengoPay payment 🇬🇳 8 2 verified · 6 ready
Flutterwave payment 🇳🇬 🇬🇭 🇰🇪 +10 57 📋 Ready
NimbaSMS sms 🇬🇳 11 📋 Ready
Notch Pay payment 🇨🇲 🇨🇮 🇸🇳 +3 31 📋 Ready
Orange Money Mali payment 🇲🇱 2 📋 Ready
Wave payment 🇸🇳 🇨🇮 🇲🇱 +8 12 📋 Ready
<!-- fin du tableau -->

Legend: ✅ AI Ready = all capabilities verified · X verified · Y ready = awaiting production validation · 📋 Ready = spec validated · 🗓 Planned = specs coming soon


Use with an MCP client

Claude Code

claude mcp add --transport http afrotools https://mcp.afro.tools/mcp

Cursor / Windsurf / VS Code Copilot

{
  "mcpServers": {
    "afrotools": {
      "type": "http",
      "url": "https://mcp.afro.tools/mcp"
    }
  }
}

Claude Code plugin

/plugin marketplace add afrotools/afrotools
/plugin install afrotools

Auto-activated skills based on context:

  • payment — integrating a payment API
  • sms — integrating an SMS API
  • debug — when an integration based on an afrotools spec fails → diagnoses whether the problem is a spec error, a missing gotcha, or an undocumented API change

Manual commands:

  • /afrotools:spec <provider> <capability> — inspect a full spec
  • /afrotools:list — list all available specs
  • /afrotools:new <category> <provider> <capability> — scaffold a new spec

Contributing

See CONTRIBUTING.md to add a spec or improve an existing one.

Spec lifecycle: draft → ready → verified

A provider earns the AI Ready badge when all its capabilities reach verified.


License

Apache 2.0 — see LICENSE.

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