K-Work Trust
Server Details
Korean business record validation and workflow safety gates for AI agents.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- hycore220/k-work-trust-public-demo
- GitHub Stars
- 0
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
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.
Tool Definition Quality
Average 2.9/5 across 26 of 26 tools scored. Lowest: 2.2/5.
Most tools have clearly distinct purposes, especially the validation tools targeting different domains. However, there are a few pairs that could cause confusion, such as 'validate_policy_invariants' and 'prove_agent_policy_invariants', or 'estimate_agent_risk_bound' and 'estimate_agent_tail_risk'. The descriptions help, but an agent might misselect.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., compile_agent_plan, validate_vendor_onboarding). The naming style is uniform and predictable, making it easy for an agent to infer the action and target.
With 26 tools, the server exceeds the recommended range of 3-15 for well-scoped tools. While the domain is broad, this many tools make the server feel overloaded and could be split into separate servers for agent safety and Korean document validation.
The tool set covers a comprehensive range of agent safety operations and Korean business document validations. Minor gaps exist, such as missing Korean email normalization, but overall the surface appears complete for the stated purpose.
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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Feature your server to boost visibility and reach more users
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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