#mcp

The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)

Python library for managing comments and content on Google Docs, Sheets, and Slides via the Google APIs

Automated AI code reviews powered — webhook-driven, real-time dashboard, MCP integration, smart queue with deduplication, multi-agent audits, and iterative follow-up reviews for GitLab MRs and GitHub PRs

Spec-driven development framework — AI agents that think before they type

Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

server that provides seamless integration with Tailscale's CLI commands and REST API, enabling automated network management and monitoring through a standardized interface

AI agent framework with Jupyter sandbox, data analysis, MCP tools, ACP protocol, multi-provider LLM, and standalone runtime packaging

Donmai is an open-source workflow runtime that runs, retries, and audits multi-step agent tasks on your machine. The same binary powers Rensei in production. MIT-licensed.

A curated marketplace of Claude Code plugins that embody the principles of ethical and professional software development.

Your AI agent develops firmware on its own: build, flash, stimulate real hardware, observe, fix - policy-gated MCP tools + pytest plugin.

CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.

Unofficial FastMCP extensions, created by Airbyte for the FastMCP and Airbyte community. Used by our own MCP servers and inspired by our usage patterns and emerging best practices.

MCP server for AI agents to read, edit, inspect, and validate local HWPX documents.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application.

The most comprehensive code intelligence MCP server for AI coding agents. 40+ tools, 30+ languages, 9 agent integrations. Pre-indexed semantic knowledge graphs for instant code understanding — fewer tokens, fewer tool calls, 100% local.

Local research agent — one command, a cited answer with its trust signals: source-authority mix, lexical citation verification, confidence, cost. CLI + MCP server. Runs on your own LLM router; nightly public report card. Zero hosted dependencies.

A policy enforcement runtime for AI agents

Claude Code & Codex plugin for Simulator.Company — a Go MCP server exposing the platform REST API plus skills for actors, graphs, forms, and financial accounts.

Bedrock Converse Model Provider and Utilities for adk-go

Search ClinicalTrials.gov trials, retrieve study details and results, and match patients to eligible trials via MCP. STDIO or Streamable HTTP.

KYA-OS MCP protocol reference implementation — delegation, proof generation, session lifecycle, and cryptographic identity for the Model Context Protocol

ChatCLI is a command-line application that utilizes LLMs—such as those from Anthropic, OpenAI, and others—to facilitate interactive conversations within the terminal. At its core, it features a specialized agent and tools that provide unique expertise.

Local-first MCP tools and dashboard for investigating Codex token usage, credits, costs, caching, and thread patterns.

Governance Architecture for Trustless Execution ⚖️

Fast, open agent harness for the terminal. One ~12 MB Go binary — bring any model and extensions into a single inspectable loop that learns as you work.

Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST API and MCP support for AI clients.

k6 x agent. Bootstrap an AI-assisted k6 testing workflow in any editor

hypequery - The TypeScript semantic layer for ClickHouse

Forge is the open-source runtime for Anthropic's Agent Skills standard — built for the agent that runs next to a service, in your environment, on infrastructure you already operate. Write a SKILL.md. Compile to a portable, hardened agent. Deploy it anywhere containers run: Kubernetes, on-prem, air-gapped, embedded in CI, or as an A2A endpoint.

Agent Knowledge Manager (akm). A CLI tool to manage AI agent knowledge, memories, skills, and more.