⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
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Updated
Jul 8, 2026 - Go
Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external tools, data sources, and services. MCP uses a client-server architecture where AI-powered applications (clients) communicate with lightweight programs (servers) that expose specific capabilities through a standardized interface.
MCP servers can provide tools (executable functions), resources (read-only data), and prompts (reusable templates). The protocol supports multiple transport mechanisms including stdio for local processes and HTTP with Server-Sent Events for remote connections.
The protocol was created by Anthropic and released as an open specification. It is supported by AI tools including Claude Code, Cursor, Codex, Windsurf, and Claude Desktop.
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.
mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
One place to manage & connect to all your MCP servers
Query, provision and operate Cloud, SaaS, API and Model Context Protocol (MCP) resources through a unified SQL-based framework for humans and AI agents.
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.
토스증권을 AI 에이전트와 터미널에서 다루는 도구. CLI 와 MCP 서버로 계좌·시세·주문은 물론 웹앱 전용 기능(수급·AI 시그널·스크리너·배당)까지, JSON·CSV 구조화 출력으로 AI 도구·자동화에 바로 연동.
Supercharge AI Agents, Safely
Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI
High-performance Google Drive CLI and Model Context Protocol (MCP) Server for LLM/AI agents. Natively execute Google Apps Script (GAS) under a secure whitelisted runtime sandbox, automate transfers, and manage Drive infrastructure.
MCP server for 1С:Enterprise — AI assistant sees your configuration and generates accurate BSL code. One binary, zero dependencies, 10 tools.
Let LLMs control embedded devices via the Model Context Protocol.
deprecated: use the official MCP sdk! (https://github.com/modelcontextprotocol/go-sdk) / ⚡ A type-safe, intuitive Go SDK for building MCP servers with ease and confidence
A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.
An MCP server for Google Tag Manager. Connect it to your LLM, authenticate once, and start managing GTM through natural language.
MCP server that reduces LLM context usage when AI coding agents work with Go — structured documentation instead of source-file dumps.
An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.
Created by Anthropic
Released November 2024