Tetrees AI
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TETREES_TOKEN | Yes | Your Tetrees API token for authentication. | |
| TETREES_API_URL | Yes | The base URL of the Tetrees API. | https://ex.tetrees.ai/api |
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 | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| accept_ai_pack_termsB | Record the current account agreement required before creating, uploading, auditioning, or publishing a pack. |
| search_ai_packsA | Search the published agent-asset exchange by task or capability. |
| list_owned_ai_packsA | List purchased, claimed-free, and seller-owned packs available to this account. |
| acquire_free_ai_packA | Create a revocable entitlement for a published free pack without Stripe. |
| download_ai_packA | Return a short-lived entitlement-gated URL for the signed .taip envelope. |
| get_ai_pack_reportA | Read the buyer-safe, version-bound Agent AVCP gates and scores for a published pack. |
| list_agent_modelsA | List OpenAI, Claude, and Z.AI models, current server pricing, capabilities, BYOK support, and sample Point quotes. |
| get_ai_pack_runtime_profileA | Return the Pack-declared hosted skills, ephemeral attachment policy, and user-controlled MCP/API extensions before a run. |
| quote_agent_runA | Get the exact worst-case Point reservation before using platform-funded inference. BYOK quotes zero model points. |
| run_ai_packB | Run a Tetrees AI Pack. Before acquisition, Points fund a stateless base preview. Ownership unlocks BYOK, saved growth and download; local files remain request-scoped. |
| prepare_local_ai_pack_runA | Return a host-readable execution plan for connecting this Pack to explicitly selected, Agent-AVCP-auditioned local skills, MCP tools, resources, prompts, or HTTPS APIs. Tetrees does not execute client extensions on its hosted servers. |
| execute_client_extensionA | Execute one method from an owned Pack through a user-configured HTTPS API, nested MCP server, or isolated local-skill child process. Configuration and credentials stay in the local MCP process. Write methods require an exact one-call confirmation. |
| propose_ai_pack_growthA | Select a proposal from a successful run. This creates a reviewable delta and does not mutate the pack. |
| accept_ai_pack_growthB | Normalize a proposed delta with Tetrees Agent or provider-free portable normalization, run the deterministic growth gate, and append it to this owner only. |
| list_ai_pack_growthA | List growth checkpoints, the active checkpoint, hosted slot/byte usage and limits without exposing private memory contents. |
| select_ai_pack_growth_versionB | Set this account's default hosted intelligence checkpoint for an owned Pack. Use sequence 0 to return to the signed base Pack; selection never rewrites the seller Pack. |
| create_ai_pack_draftA | Create an owner-bound AI Pack listing with the complete buyer guide and two concrete example uses. Accept current terms first. Free drafts do not require Stripe Connect. |
| update_ai_pack_draftA | Update seller-owned public metadata; immutable pack versions are never overwritten. |
| upload_ai_packA | Read an explicit local .taip path, transfer it through the product-scoped private upload contract, and commit one immutable higher version. |
| upload_ai_pack_imageA | Upload one explicit local JPEG, PNG, WebP, or AVIF image to the seller-owned pack listing. |
| get_ai_pack_submission_readinessA | Return missing TAIP, metadata, and imagery requirements with exact next actions. |
| submit_ai_pack_for_auditionA | Move a complete owner-bound draft into the immutable Agent AVCP queue after readiness passes. |
| quote_ai_pack_auditionC | Return exact version-bound Point quotes and Agent AVCP deliverables. |
| run_ai_pack_auditionC | Run version-bound integrity, model, regression, memory-isolation, injection, growth, and cost gates after explicit Point confirmation. |
| get_ai_pack_private_reportA | Read actionable owner-only failures and next actions without exposing them to buyers. |
| publish_ai_packA | Publish the exact current version after every mandatory Agent AVCP gate passes. Paid packs additionally need Stripe Connect before checkout. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| run_ai_pack_with_client_tools | Compose an owned Pack, hosted skills, ephemeral files, and user-approved MCP tools without exposing Pack internals. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| tetrees-skill-registry | Live hosted-skill pricing, attachment limits, and the local MCP extension boundary. |
TDQS
Scored across 26 tools
Each tool targets a distinct resource/action: acquisition, terms, drafts, audition, growth, runtime, and reporting. Tools that sound similar, such as the two report tools, are clearly separated by buyer-facing versus owner-only scope.
The overwhelming majority use a consistent snake_case verb_noun pattern with the ai_pack domain prefix. The few exceptions like list_agent_models and execute_client_extension still follow the same general verb_noun style, so there is no real convention clash.
At 26 tools, the server is on the heavy side and may feel dense. However, the volume is largely justified by the broad AI Pack lifecycle spanning drafting, auditing, publishing, runtime execution, and growth management.
The surface covers the main lifecycle well: create, upload, audition, publish, run, grow, search, acquire, download, and report. Notable minor gaps include no explicit delete/revoke tool for drafts or entitlements and no direct paid-pack purchase flow, but most core workflows are complete.