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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.

After Effects MCP (Dakkshin)

全面解析After Effects MCPMCP 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，After Effects MCP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。

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.

AI supply chain security scanner for MCP servers and AI agents. 18 tools for CVE scanning, blast radius mapping, CIS benchmarks, SBOM generation, and compliance enforcement across OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act.

Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.

AgentBureau provides the legal and physical infrastructure for AI agents to operate within the German jurisdiction. We bridge the gap between digital intelligence and real-world action by providing "Embodiment-as-a-Service." Through our API, agents can perform legally binding actions—like sending faxes, mailing physical letters, issuing invoices, forming entire companies (GmbH/UG), ...

Enables AI agents to manage and use prepaid virtual Visa cards with hard budget limits for secure online transactions. It provides tools for creating cards, checking balances, and retrieving payment credentials with human-in-the-loop approvals.

Enforces structured output from LLMs by extracting JSON, validating against a shape spec, and generating retry prompts for incorrect responses.