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.
@spprichard
Basic information
A collection Swift projects which aim to build a MCP server for completing personal tasks
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
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.
The MCP interface is intended for clients like Claude and OpenAI, whereas the REST API is designed for other reporting or automation tasks.
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.

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools
TestMu AI MCP Server lets developers run, debug, and triage tests through natural language directly from their IDE (Cursor, Claude, GitHub Copilot, and other MCP clients). It exposes five tools — HyperExecute (test orche

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation
Comments