AgentSeal
@JoeyBrar
About AgentSeal
Every agent action is recorded in a SHA-256 hash chain. With this, you can actually prove to clients that your agent did what it said it did. Record, query, verify, and export agent activity.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentseal": {
"command": "npx",
"args": [
"-y",
"agentseal-mcp"
],
"env": {
"AGENTSEAL_API_KEY": "as_sk_your_key_here"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is AgentSeal?
AgentSeal is an MCP server that provides an immutable audit trail for AI agents, using SHA-256 hash chaining to ensure data integrity. It is designed for multi-agent tracking, on-demand verification, and export, built to meet EU AI Act compliance requirements.
How to use AgentSeal?
Set up in one command: npx agentseal-mcp with your API key. Use the server’s three tools — record_action, query_actions, and verify_chain — to record, look up, and verify agent actions. A Python SDK (pip install agentseal-sdk) is also available for direct integration.
Key features of AgentSeal
- One-command setup (
npx agentseal-mcp) with API key - On-demand chain integrity verification
- Multi-agent tracking under one organization
- Export full trail as JSON or CSV
- Python SDK for direct integration (
agentseal-sdk) - SHA-256 hash chain — tamper-evident records
- EU AI Act ready for high-risk AI compliance
Use cases of AgentSeal
- Record and verify actions of a single AI agent
- Monitor multiple agents across an organization
- Provide immutable logs for regulatory audits
- Export agent activity trails for analysis or reporting
- Ensure data integrity in high-risk AI deployments
FAQ from AgentSeal
What makes AgentSeal different from a regular database?
AgentSeal uses a SHA-256 hash chain where each entry’s hash includes the previous one, so any modification breaks the chain. This provides tamper-evident, verifiable integrity that ordinary databases do not guarantee.
What runtime or dependencies does AgentSeal require?
No additional runtime—just run the one-command npx agentseal-mcp with your API key. A Python SDK is available for direct integration if preferred.
Where does the audit data live?
Data is stored and managed via the AgentSeal service; you sign up at agentseal.io for an API key. The server records and retrieves action data through that service.
What transports or authentication does AgentSeal use?
Authentication is handled via your API key passed with the npx command. The server exposes standard MCP tools over stdio.
Are there any known limitations?
The README does not mention specific limits. It supports multi-agent tracking and export in JSON/CSV.
More Other MCP servers
Servers
modelcontextprotocolModel Context Protocol Servers
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Comments