TetreesAgent_EX README

The project's README from github.com/TetreesEX/TetreesAgent_EX. As one markdown file: README.md.

Tetrees Agent EX

Public integration kit for using, growing, buying, and publishing Tetrees AI Packs through the hosted Tetrees Agent MCP and API.

Tetrees Agent selecting useful intelligence from a holographic shelf

Explore Tetrees AI Packs  ·  Connect through MCP  ·  Publish an AI Pack

This repository is the public @tetrees/mcp product (ai.tetrees/mcp): the stdio MCP server, clients, configuration examples, and safe extension samples. It does not contain Tetrees Agent internals, private Pack intelligence, Agent AVCP scoring, service prompts, storage, moderation, or exchange infrastructure.

What you can build

Path Use this kit to
Buyer / operator Search Packs, inspect the public Agent AVCP report, quote a run, try a Pack with Tetrees Points, acquire a free Pack, and download an owned .taip release.
Builder Connect an auditioned Pack to a user-owned HTTPS API, nested MCP server, or no-shell local skill while keeping credentials local.
Seller Create a listing, upload an immutable .taip version and images, inspect readiness, run Agent AVCP, read private repair feedback, and publish a passing release.

Tetrees-hosted work needs no local GPU. Model-funded runs are quoted in Tetrees Points before execution; an owned Pack can also use a supported provider key supplied to the local MCP process.

Quick start: hosted MCP

Requirements: Node.js 20+ and a revocable API token from Tetrees Account.

Add this to your MCP client's configuration:

{
  "mcpServers": {
    "tetrees-ai": {
      "command": "npx",
      "args": ["-y", "https://ex.tetrees.ai/pkg/tetrees-mcp.tgz?v=2.2.1"],
      "env": {
        "TETREES_API_URL": "https://ex.tetrees.ai/api",
        "TETREES_TOKEN": "<revocable-account-token>"
      }
    }
  }
}

Restart the MCP client, then ask it to:

Search Tetrees AI Packs for repository issue triage. Show the public Agent AVCP
report and runtime profile for the best match, then quote an 8k/2k Point-funded
run. Do not run it until I approve the quoted maximum.

Do not put provider keys in a Pack, prompt, source file, or shared MCP config. Optional BYOK keys belong only in the local MCP process environment. See examples/mcp/mcp-config.jsonc.

Inspect the MCP contract

npm install
export TETREES_TOKEN="txk_..."
npm run mcp:inspect

The inspector launches the official hosted MCP package, lists its public tools and resources, checks the expected buyer/builder/seller surface, and exits without spending Points or changing account state.

The v=2.2.1 suffix is intentional: it prevents npx from reusing an older MCP tarball cached under the same URL. Change it only when Tetrees publishes a newer MCP contract. The npm identity for the same package is @tetrees/[email protected].

Public API CLI

Copy .env.example values into your shell; this project deliberately does not auto-load secret files.

export TETREES_TOKEN="txk_..."

# Read-only calls
npm run tetrees -- status
npm run tetrees -- catalog "research"
npm run tetrees -- models
npm run tetrees -- skills
npm run tetrees -- owned
npm run tetrees -- runtime <pack-id>
npm run tetrees -- report <pack-id>

# Quote first. This never starts a model request.
npm run tetrees -- quote <pack-id> <model-id>

# A Point-spending run needs the exact confirmation flag.
npm run tetrees -- run <pack-id> <model-id> "Your task" --confirm-spend

The CLI redacts secret-shaped response fields and reports Tetrees error codes, HTTP status, and Retry-After. It does not retry a mutation automatically.

Buyer flow

  1. Search for a Pack.
  2. Inspect its public Agent AVCP report and runtime profile.
  3. Quote the exact model, token ceiling, hosted skills, and growth checkpoint.
  4. Run a Point-funded stateless preview. Unused reserved Points return.
  5. Acquire a free Pack or buy a paid Pack on Tetrees EX.
  6. Ownership unlocks download, BYOK, saved growth, and client extensions.

Run the documented read-only example:

node examples/buyer/discover-and-quote.mjs "incident response"

Builder flow: add capabilities without giving them to Tetrees

A published Pack may declare client extensions that passed Agent AVCP. The actual binding and credentials remain on the user's machine.

Supported binding patterns:

Start with:

Tetrees hosting never inherits these local permissions. A write method needs the exact per-call phrase APPROVE extensionId.methodId.

Seller flow

The supported publisher path is intentionally contract-driven:

# Read-only readiness/report inspection
node examples/seller/check-readiness.mjs <pack-id>

# Upload one higher immutable version. Requires explicit confirmation.
node examples/seller/upload-pack.mjs <pack-id> 1.1.0 ./release.taip --confirm-upload

Then use the hosted MCP tools or Tetrees API reference to submit, quote Agent AVCP, run it after confirming the exact Point amount, inspect the private report, and publish only the passing digest.

See docs/SELLER_GUIDE.md and examples/seller/pack-listing.example.json.

Stable public references

Security and product boundary

This repository does not contain:

The examples operate only through the documented public, authenticated contract. Review SECURITY.md and docs/PUBLIC_BOUNDARY.md before contributing.

Verify this repository

npm test
npm run check:public-boundary
npm pack --dry-run

License

The client examples and documentation in this repository are MIT licensed. Tetrees, Tetrees Agent, Tetrees AI Pack, TAIP, and Agent AVCP names and service marks remain the property of Tetrees EX. The license does not grant access to, or rights in, the hosted service or private Pack intelligence.

TetreesAgent_EX (TetreesEX/TetreesAgent_EX)

Searching Database…

300 ·GitHub
TetreesAgent_EX
What is this?This is a public integration kit for Tetrees Agent, a hosted MCP service and marketplace where you can search, buy, sell, and run AI 'Packs' (AI agents) without needing your own GPU.
Is this the actual AI agent, or just the public kit to talk to it?It's only the public @tetrees/mcp product: the stdio MCP server, clients, config examples and extension samples. It explicitly excludes Tetrees Agent's internals, scoring, moderation and exchange infrastructure.
How do I connect to the hosted MCP?Add the hosted MCP entry to your MCP client's configuration file and restart the client; you can then ask it to search, quote, and run Packs.
What do I need before I start?Node.js 20+ and a revocable API token created from your Tetrees Account.
Do I need my own GPU or provider keys to run a Pack?No - hosted runs are quoted and paid in Tetrees Points with no local GPU required, though an owned Pack can optionally use your own provider key (BYOK) kept only in the local MCP process.
Who is this kit actually for?Three roles: buyers/operators who search, preview, and run Packs, builders who attach local HTTPS APIs, nested MCP servers, or no-shell skills to a Pack, and sellers who create, test, and publish Pack listings.
Where do my extension credentials end up?Builder extension bindings (HTTPS API, nested MCP, or local skill) and their credentials stay on your own machine; Tetrees hosting never receives these local permissions.
What does the MIT license actually cover here?Only the client examples and documentation in this repo are MIT licensed; the Tetrees names and marks stay Tetrees EX property, and the license grants no rights to the hosted service or private Pack intelligence.
What are Tetrees Points?They are the credits used to fund model runs on the hosted service; a quote reserves Points before execution, and any unused reserved amount is returned after a preview.
What is Agent AVCP?It is Tetrees' internal scoring/audit process a Pack must pass before publishing or before being attached as a client extension; the scoring rules and fixtures stay private and are not in this repo.
What binding patterns can a Builder use to extend a Pack?Three patterns: httpsapi (a fixed HTTPS base URL with declared methods), mcp (a nested MCP server), and localskill (a no-shell child process exchanging one JSON request and result).
Why does the MCP inspector command pin v=2.2.1?The version suffix stops npx from reusing an older cached MCP tarball under the same URL; it should only be bumped when Tetrees ships a newer MCP contract.
What are similar projects?executor, gitagent, context7, kimi-code, rea, headroom, mcporter, servers
Which topics is it in?mcp-client, marketplace, byok, saas, model-context-protocol, sdk, mcp-server, agent, mcp, security, npm, api
Creator
TetreesEX
Size
0.2 MB
Stars
300
Updated
CommitOct 09
Age
1mo
Commits · 90 Days