Cross-language-safe code-intelligence MCP for AI agents -- 13 languages, family-gated call graph (CodeGraph 745 vs TSA 6 cross-language mis-wires, v1.21.0 same-session -- ~124x by count, ~390x by rate; re-verifying vs current develop). Run miswire-audit on your repo. 8 facade tools, TOON output, 100% local. Python.

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

An MCP server for interacting with Sentry via LLMs.

MCP server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native skills to Claude Code, Cursor, OpenCode, and Gemini CLI.

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

This is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB.

MCP server giving LLMs the ability to design, simulate, and analyze SPICE circuits via LTSpice and NGspice

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.