agentguard
Server Details
AgentGuard — 20-tool AI safety MCP: policy preflight, risk scoring, audit logging, rate limits.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- ToolOracle/agentguard
- GitHub Stars
- 0
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
24 tool updates
- First observed
approval_list - First observed
approval_required - First observed
approval_resolve - First observed
audit_log_query - First observed
audit_log_write - First observed
cross_tool_anomaly_check - First observed
decision_explain - First observed
emergency_kill - First observed
guard_metrics - First observed
output_safety_scan - First observed
payload_safety_check - First observed
payment_policy_check - First observed
policy_preflight - First observed
policy_register - First observed
rate_limit_check - First observed
replay_guard_check - First observed
scope_check - First observed
secret_exposure_check - First observed
session_validate - First observed
spend_limit_check - First observed
tenant_policy_check - First observed
threat_intel_check - First observed
tool_manifest_verify - First observed
tool_risk_score
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
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To improve your MCP server's ranking:
Claim ownership of the server listing
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Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
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TDQS
Most tools have distinct purposes, but there is notable overlap: output_safety_scan and secret_exposure_check both detect secrets/PII, and payment_policy_check vs spend_limit_check relate to payment limits. The descriptions help, but an agent may struggle to choose among the many similar 'check' tools.
Tool names are overwhelmingly snake_case with a noun-based prefix followed by a verb or 'check' (e.g., rate_limit_check, audit_log_query). Minor deviations like 'decision_explain' and 'emergency_kill' still fit the readable pattern, so naming is mostly consistent.
24 tools is on the heavy side but within the borderline range. The domain of agent security and governance justifies many specialized checks, though some tools could potentially be consolidated (e.g., output_safety_scan and secret_exposure_check).
The tool surface covers the full guardrail lifecycle: pre-execution checks, approval workflows, emergency controls, post-execution auditing, and metrics. Gaps include no policy management (create/update) and no tenant administration, but these are not critical for the server's apparent purpose.