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Pre-execution safety layer for autonomous agent wallets. Risk scoring, transaction simulation, and policy enforcement via MCP.

Connects AI assistants to ActivityWatch for real-time computer activity awareness and time tracking analysis. Enables natural language queries about app usage, browsing history, and productivity patterns through high-level tools without requiring AQL syntax knowledge.

全面解析Act MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Act MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

MCP server for integrating Actual Budget with Claude and other LLM assistants.

Adobe Commerce Dev MCP

This project implements a Model Context Protocol (MCP) server that interacts with Adobe Commerce. This protocol supports various tools to interact with Adobe Commerce GraphQL APIs.

A bridge that enables controlling Unity Editor through natural language commands via AI assistants, allowing users to create materials, build projects, manage scenes, and configure settings without manual interaction.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.

Safety layer for autonomous DeFi agents. Scans contracts for exploit patterns, simulates transactions, blocks honeypots.

An enforcement layer that validates AI agent actions against governance policies, including path permissions and content scanning, at runtime. It enables secure, role-based execution of file operations and commands with zero token overhead by processing policies independently from the agent's context.

An MCP server that enables AI assistants to control Adobe After Effects through a file-based communication bridge. It supports various operations including project and composition management, layer and keyframe manipulation, rendering, and batch processing.

A comprehensive Model Context Protocol server for Adobe Experience Manager that provides 35+ REST/JSON-RPC API methods for complete content, component, asset, and template management. Enables AI-powered AEM automation through natural language interfaces with support for page operations, component CRUD, asset management, and publishing workflows.

Enables AI agents to control Blender 3D software through natural language commands, supporting object creation, manipulation, materials, rendering, and scene management with 22 tools organized across 6 categories.

On-demand access to 150+ specialist AI agent templates — search, browse, and spawn agents. 150x reduction in context usage vs loading agents locally.

Search and discover 500+ tools, APIs, and services for AI agents. Browse 15 categories, get recommendations, and access structured metadata including auth methods, free tiers, and example calls.

MCP server that lets AI agents launch and manage Meta + TikTok ad campaigns autonomously. 1 call 30 seconds to launch.

Enables async, authenticated messaging between AI agents with explicit authorization and persistent inbox.

Discover and communicate with AI agents over encrypted P2P networks. Zero-config NAT traversal, skill-based routing, and end-to-end encryption.

Open registry of agent instruction files — system prompts, skills, workflows, and domain packs. Exposes the OpenClaw registry via 4 MCP tools: search by keyword/category, fetch full instruction files, list categories, and get top-rated files. CC0 licensed, free to use.

Hosted shared knowledge base for AI agents. Store, search, and retrieve structured knowledge using semantic search. Agents contribute to a growing collective intelligence that compounds over time. No install — just a URL.

Persistent memory, teams, and projects for AI agents. 76 MCP tools for storing, recalling, and sharing knowledge across sessions with 4-strategy hybrid search.