gamai-trust-mcp
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| trust_verify_claimsB | Fail-closed claim verification. Each claim has text, predicate, observed and expected. Returns confirmed/refuted/unverified and a SHA-256-bound report. |
| trust_check_injectionB | Check untrusted text for prompt injection using patterns and learned antibodies. Returns allow, attack_class, risk and reason. |
| trust_add_antibodyC | Store a blocked sample as an antibody signature (exact + near-miss). |
| trust_statsB | Antibody store statistics: total, active, dormant, expired, classes. |
| trust_demoB | Run the proofgate, immunity and crossnode demos. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool targets a distinct operation: claim verification, injection detection, antibody storage, store statistics, and demos. The only mild adjacency is between trust_check_injection (which uses learned antibodies) and trust_add_antibody (which creates them), but the action boundaries are clear from the descriptions.
All names use snake_case with a uniform `trust_` prefix, and the core tools follow a verb_noun pattern (trust_verify_claims, trust_check_injection, trust_add_antibody). trust_stats and trust_demo drop the verb, a minor deviation but still readable and predictable.
Five tools is well within the ideal range for a focused trust/verification server, and each earns its place in the workflow (check, verify, learn, inspect, demo). No obvious padding beyond the demo tool.
The antibody store has create (add) and aggregate stats but no listing/querying of individual antibodies, no delete or deactivate/expire operation, which are notable gaps for managing a learned-signature store. Verification and injection paths are otherwise complete enough for core workflows.