Tamper-proof audit trail for AI decisions. 6 tools to record, verify, and export cryptographic proof chains. SHA-256 hash chain, JSON-LD v2 export, public verification.
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Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Average 3.9/5 across 7 of 7 tools scored.
The tools have overlapping verification purposes, with proof_verify, proof_public_verify, and proof_chain_verify all performing hash checks, which could cause confusion. However, descriptions clarify distinctions: proof_verify for a specific record, proof_public_verify for public access, and proof_chain_verify for the entire chain. Other tools like proof_record, proof_get, proof_export_jsonld, and proof_report have clearer, non-overlapping functions.
All tool names follow a consistent 'proof_' prefix with a verb_noun pattern, such as proof_record, proof_get, and proof_verify. This uniformity makes the set predictable and easy to navigate, with no deviations in naming conventions across the seven tools.
With 7 tools, the count is well-scoped for managing decision proof units, covering creation, retrieval, verification, export, and reporting. Each tool serves a distinct role in the lifecycle, and there are no extraneous tools, making the set appropriately sized for the server's purpose.
The tool set covers the core CRUD-like operations for decision proof units: proof_record for creation, proof_get for retrieval, and multiple verification tools. Minor gaps exist, such as no explicit update or delete tools, but these may not be needed given the immutable nature of cryptographic proofs. The surface supports key workflows from recording to reporting and verification.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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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
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
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.
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