sandbox mcp

mcp unipile

MCP Test Client is a TypeScript testing utility for Model Context Protocol (MCP) servers.

SwiftMCP delivers a modern, type-safe Swift implementation of the Model Context Protocol with async/await, multi-transport support, and native SwiftPM integration.

An MCP server that downloads images from URLs and optimizes them with resize, quality control, and format conversion for AI workflows.

Language-agnostic headless editor leveraging LSP and MCP for AI-assisted, secure, session-based code manipulation across workspaces.

Bridge SSE MCP endpoints with a lightweight Python shim delivering stdio-based access for local tooling and scripting.

TypeScript MCP server offering note resources, create_note tool, and summarize_notes prompt for structured text summaries.

Headless Hide integration delivering a text editor and persistent Bash shell with inspector-based debugging.

Lightweight, MCP-compatible tool to read and modify macOS preferences via simple commands.

macOS-native integration using AppleScript to manage iMessages and Contacts locally with search, messaging, and on-device privacy

obsidian mcp

Bluesky integration enabling profiles, posts, timeline, follows, likes, and reposts with environment-based auth and optional PDS URL.

Delivering FRED data via fast series search and observations for AI workflows with seamless integration.

Rust client enabling local subprocess communication with typed tool calls, strict protocol adherence, and seamless Rust integration.

TypeScript tool that generates images from prompts using OpenAI's DALL·E 3 and saves outputs locally.

Downloads and parses Substack posts, extracting metadata and content, designed for Claude desktop app integration.

Go-based MCP implementation with client/server scaffolds, multi-transport support, and rich tooling for resources, tools, and prompts.

A scriptable and powerful UI-Chat-Application for chatting with most Gen-AI LLMs

JIRA integration server for Model Context Protocol (MCP) - enables LLMs to interact with JIRA tasks and workflows

Official AppSignal integration enabling AI agents to access monitoring data, metrics, and tooling via Docker (beta) with broad editor compatibility.

GitHub code context provider leveraging Pera1 to extract repository data for Claude AI, enabling targeted, contextual questions.

Lightweight Go-based implementation exposing external tools to language models via a standardized interaction protocol, with a SHA-256 example for Claude.

Rust-based universal AI assistant hub with a proxy, protocol conversion, and secure tool access.