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.
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.
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.
Same configuration — add the server with your API key.
| Variable | Required | Description |
|---|---|---|
AGENTSEAL_API_KEY | Yes | Your API key from agentseal.io |
AGENTSEAL_URL | No | Custom API base URL (defaults to production) |
record_actionRecord an agent action to the audit trail. Call this after significant actions to create a cryptographically chained record of what happened and why.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | Yes | Identifier for the agent (e.g. research-bot) |
action_type | string | Yes | What kind of action (e.g. email:send, file:write, api:call) |
action_params | object | No | Details of the action |
reasoning | string | No | Why the agent decided to take this action |
authorized_by | string | No | Who or what approved the action |
Returns a sequence number and SHA-256 hash confirming the entry was chained.
query_actionsLook up previously recorded actions from the audit trail. Use this to check what actions have been taken or recall past decisions.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | No | Filter by agent |
action_type | string | No | Filter by action type |
limit | number | No | Max entries to return (default 20) |
verify_chainVerify 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | No | Verify chain for a specific agent. If omitted, verifies all entries. |
Returns the number of entries verified and whether the chain is intact.
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.
Sign up at agentseal.io. Free to use.
For direct integration without MCP: pip install agentseal-sdk. See agentseal-sdk.
MIT
AGENTSEAL_API_KEY*secretYour AgentSeal API key from agentseal.io