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Verifiable action logs for AI agents. Every action is recorded in a SHA-256 hash chain.
About
Verifiable action logs for AI agents. Every action is recorded in a SHA-256 hash chain.
Security Report
Valid MCP server (2 strong, 4 medium validity signals). 2 known CVEs in dependencies (0 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: AGENTSEAL_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-joeybrar-agentseal": {
"env": {
"AGENTSEAL_API_KEY": "your-agentseal-api-key-here"
},
"args": [
"-y",
"agentseal-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
agentseal-mcp
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
| Variable | Required | Description |
|---|---|---|
AGENTSEAL_API_KEY | Yes | Your API key from agentseal.io |
AGENTSEAL_URL | No | Custom 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.
| 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_actions
Look 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_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.
| 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.
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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