26 packages found
Developer-focused Mapbox MCP Server
The official Ruby SDK for the Model Context Protocol.
Java SDK for interacting with the MCP Toolbox for Databases.
Official agent plugin providing skills and MCP server configurations for Azure scenarios.
Rust implementation of protobuf with editions support, JSON serialization, and zero-copy views
This repo is a mirror of the contents of base-action in https://github.com/anthropics/claude-code-action.
A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mo
Automated MCP server testing tool. Connects to Model Context Protocol servers, tests available tools using AI, and gener
A Model Context Protocol (MCP) server that provides comprehensive customer sales database access for Zava Retail DIY Bus
gcloud MCP server
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents
An open-source Digital Worker platform for reliable execution and continuous co-evolution.
Desktop Extensions: One-click local MCP server installation in desktop apps
A collection of projects designed to help developers quickly get started with building deployable applications using the
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, o
Skills for threat modeling, scanning, triage, patching, plus an autonomous scanning harness you can /customize
Claude Opus 4.6 wrote a dependency-free C compiler in Rust, with backends targeting x86 (64- and 32-bit), ARM, and RISC-
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
A Model Context Protocol (MCP) server seamlessly connecting AI Agents and AI coding tools with Zilliz Cloud https://zil
Claude Code Sandbox with FastAPI Backend
MCP Python Tutorial
This is the official repo for the Harness MCP server
Gift your VS Code agent a real debugger: breakpoints, stepping, inspection.
The official Rust SDK for the Model Context Protocol
This repo contains detailed implementation information about Anthropic's paired prompts approach for evaluating politica