Talent-Augmenting Layer
Server Details
Personalised AI augmentation system — makes you better at your work, not dependent on AI
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- angelo-leone/talent-augmenting-layer
- 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 3.9/5 across 15 of 15 tools scored. Lowest: 3.3/5.
Most tools have distinct purposes, but some overlap exists. For example, talent_get_profile and talent_status both provide user overviews, though status includes progression and warnings. talent_assess_create_profile and talent_save_profile both handle profile saving, but create_profile is specifically for assessment-generated profiles while save_profile is for general updates. The descriptions clarify these distinctions, preventing major confusion.
Tool names follow a highly consistent snake_case pattern with a clear 'talent_' prefix and descriptive verb_noun combinations. Examples include talent_assess_start, talent_get_profile, and talent_log_interaction. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming style.
With 15 tools, the count is well-suited for the server's purpose of talent assessment and management. It covers the full lifecycle from assessment (start, score, create_profile) to ongoing management (get_profile, log_interaction, get_progression) and organizational oversight (org_summary). Each tool appears necessary, with no obvious bloat or missing core functions.
The tool set provides comprehensive coverage for talent assessment and augmentation. It includes assessment initiation and scoring, profile CRUD operations (create, get, save, delete, list), interaction logging and telemetry parsing, progression tracking, calibration management, task classification, and organizational summaries. No significant gaps are evident; agents can handle end-to-end workflows without dead ends.
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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