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Agentseal

joeybrar/agentseal-mcp
1authSTDIOregistry active
Summary

This server creates tamper-proof audit trails for AI agents using SHA-256 hash chains. It exposes three tools: record_action logs agent decisions with optional reasoning and authorization metadata, query_actions retrieves past entries by agent or action type, and verify_chain confirms no records have been modified by checking hash continuity. Each action's hash incorporates the previous entry's hash, so any tampering breaks the chain immediately. Reach for this when you need cryptographic proof of what your agent did, whether for client accountability, compliance audits, or debugging why an agent made a particular decision. Requires an API key from agentseal.io and runs via npx for quick setup in Claude Desktop or Cursor.

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agentseal-mcp

agentseal-mcp MCP server

MCP server for AgentSeal. Tamper-proof audit logs for AI agents, using SHA-256 hash chains.

Every agent action is recorded in a hash chain. With this, you can actually prove to your clients that your agent did what it said it did.

Setup

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "agentseal": {
      "command": "npx",
      "args": ["-y", "agentseal-mcp"],
      "env": {
        "AGENTSEAL_API_KEY": "as_sk_your_key_here"
      }
    }
  }
}

Restart Claude Desktop after saving.

Cursor / Other MCP hosts

Same configuration — add the server with your API key.

Environment variables

VariableRequiredDescription
AGENTSEAL_API_KEYYesYour API key from agentseal.io
AGENTSEAL_URLNoCustom API base URL (defaults to production)

Tools

record_action

Record an agent action to the audit trail. Call this after significant actions to create a cryptographically chained record of what happened and why.

ParameterTypeRequiredDescription
agent_idstringYesIdentifier for the agent (e.g. research-bot)
action_typestringYesWhat kind of action (e.g. email:send, file:write, api:call)
action_paramsobjectNoDetails of the action
reasoningstringNoWhy the agent decided to take this action
authorized_bystringNoWho or what approved the action

Returns a sequence number and SHA-256 hash confirming the entry was chained.

query_actions

Look up previously recorded actions from the audit trail. Use this to check what actions have been taken or recall past decisions.

ParameterTypeRequiredDescription
agent_idstringNoFilter by agent
action_typestringNoFilter by action type
limitnumberNoMax entries to return (default 20)

verify_chain

Verify the integrity of the hash chain. Each entry's SHA-256 hash includes the previous entry's hash — if any record was modified, the chain breaks and this reports where.

ParameterTypeRequiredDescription
agent_idstringNoVerify chain for a specific agent. If omitted, verifies all entries.

Returns the number of entries verified and whether the chain is intact.

How it works

Each recorded action is hashed with SHA-256. That hash includes the previous entry's hash, forming a chain. Modify any record and every hash after it changes — verify_chain catches it instantly.

Get an API key

Sign up at agentseal.io. Free to use.

Python SDK

For direct integration without MCP: pip install agentseal-sdk. See agentseal-sdk.

License

MIT

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Configuration

AGENTSEAL_API_KEY*secret

Your AgentSeal API key from agentseal.io

Registryactive
Packageagentseal-mcp
TransportSTDIO
AuthRequired
UpdatedApr 18, 2026
View on GitHub