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API MCP Server

@spprichard

代码仓库

基本信息

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开发工具

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stdio

作者

spprichard

关于 API MCP Server

A collection Swift projects which aim to build a MCP server for completing personal tasks

API MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

API MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is API?

API is a project that provides both an MCP (Model Context Protocol) server and a REST API for interacting with email mailboxes. The MCP interface is designed for AI clients such as Claude and OpenAI, while the REST API is intended for reporting and other automation tasks. The server can search for unread emails and includes a planned OCR capability using Mistral’s API.

How to use API?

Configure the server with a mailbox to enable searching for unread emails. The MCP interface can be connected via an MCP‑compatible client. For automation, the REST API endpoints can be invoked directly. No specific configuration commands are provided in the documentation.

Key features of API

  • Search for unread emails in a provided mailbox (MCP and REST).
  • REST API for reporting and automation tasks.
  • MCP interface for AI assistants like Claude and OpenAI.
  • OCR server and client using Mistral API (endpoint available).
  • Planned support for PDF attachment extraction and structured output.

Use cases of API

  • Automate email triage by retrieving unread messages.
  • Integrate with AI assistants to fetch and process email data.
  • Perform OCR on email attachments for data extraction.
  • Build custom reporting dashboards using the REST API.

常见问题

1

What is the current state of the OCR functionality?

A new OCR server and client have been created using Mistral. An endpoint exists to perform OCR on an email that matches provided search criteria.

2

How does the MCP interface differ from the REST interface?

The MCP interface is intended for clients like Claude and OpenAI, whereas the REST API is designed for other reporting or automation tasks.

3

Is the project complete?

No, the project is in active development. Current capabilities include email search; future plans include gathering PDF attachments, full OCR processing, and returning structured output.

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