MCP

Open-source platform for governing AI agents across clouds and stacks, with a control plane, sidecar-based data plane, policy enforcement, observability, and audit trails.

faz is a safety layer for AI agents that query databases. It sits between the agent and your data, adding RBAC checks, SQL/AST inspection, injection detection, guardrails, audit logging, and MCP/REST access.

oruk is a live broadcast intelligence API for real-time news. It offers REST endpoints, SSE streaming, webhooks, and an MCP server for use in AI apps and developer workflows.

Clor is a tool for creating background or scheduled AI agents (“claws”) that reuse the same MCP servers, CLIs, skills, and tools as a coding agent. It includes a CLI install flow, docs, pricing, and examples for monitoring, reporting, support, and changelog workflows.

A Python framework for building OAuth 2.0 authorization servers for MCP servers, with token storage, PKCE, device flow, introspection, and rate limiting.

Open-source, self-hostable sandbox for AI agents. It lets agents work inside isolated Linux containers through MCP tools, with CLI and host-level admin controls for creating, managing, and exposing boxes.

A Rust-based hybrid local code search tool for developers and AI agents, with BM25 + semantic retrieval, persistent indexing, tree-sitter symbol search, and MCP/gRPC integrations.

OpenWorkers is a thesis-focused research assistant that searches literature, verifies citations, critiques ideas, and produces structured research support without writing the prose for the student.

Semble is a local-first code search tool for agents. It offers natural-language search, an MCP server, bash/AGENTS.md integration, and a Python API, with claims of faster indexing and much lower token usage than grep+read.

Rust-based PostgreSQL MCP server with 135 tools for Claude Desktop and other MCP-compatible AI tools. Supports stdio, TCP, and HTTP/2 transports, plus quick-start install and setup instructions.

An MCP server for the PostFast API that lets AI tools schedule, manage, and analyze social media posts across major platforms.

Go-native framework for building, orchestrating, and observing AI agents with native OpenTelemetry, an embedded dashboard, replay, and first-party MCP/A2A support.

An AI API gateway/proxy in Go that sits between coding clients and upstream LLM providers, with request routing, secret redaction, context handling, MCP tool integration, and transparent SSE streaming.

An MCP server for SharkClean and SharkNinja robot vacuums that lets MCP clients start cleanings, target rooms, dock the robot, and check status. The repo also includes setup steps, authentication guidance, CLI commands, and notes on supported models and cloud backend behavior.

Open-source AI-powered desktop automation agent that gives an LLM a fully isolated Ubuntu workspace with browser-based supervision, MCP access, audit logs, and OS-level control.

Open-source context layer for data and analytics agents that adds warehouse context, semantic search, and MCP/CLI access for tools like Claude Code and Codex.

Local guardrails for AI coding agents that intercept destructive actions before they execute, now extended to Git hooks for commit and push enforcement.

An open-source MCP server for controlling macOS with AI agents. It supports file navigation, app control, UI interaction, browser automation, and system operations, with setup instructions and client integrations for tools like Claude Desktop and Gemini CLI.

CoreMem is a context management platform for AI agents and chat tools. It lets users store preferences and notes as reusable mems, then load them into tools through MCP, public profile URLs, scoped share links, and AI-readable docs.

A local-first shared development environment for humans and CLI coding agents, with persistent workspaces, worktree-isolated tasks, agent coordination, and built-in review and browser tools.

Open-source AI end-to-end testing for web and mobile apps. It lets teams write tests in natural language, runs them in an agentic runtime, and stores execution memory to improve future runs.

Hopper is an agentic development environment for mainframes and z/OS. It uses AI agents through Model Context Protocol to navigate TN3270, inspect datasets, write JCL, debug jobs, and work inside mainframe systems from a modern interface.

Local-first code intelligence for Claude Code that adds structural graph search, semantic memory, cross-project links, MCP integration, and automated hooks for coding workflows.

Hivemind is a shared brain for coding agents that captures traces, turns repeated patterns into reusable skills, and syncs them across a team. The repo shows installation commands, supported assistants, commands, and troubleshooting notes.