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This Agent MCP allows you to train external intelligence with zero GPU and let you trade it at Tetrees EX

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  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Healthy fork ratio
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  • Documented (README)
Last scanned: 9/8/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/TetreesEX/TetreesAgent_EX
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "tetreesagent-ex": {
      "command": "node",
      "args": ["/path/to/TetreesAgent_EX/dist/index.js"],
      "env": {
        "TETREES_TOKEN": "<tetrees_token>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/TetreesEX/TetreesAgent_EX and follow its README for install instructions.
Detected environment variables
TETREES_TOKEN
Use cases

MCP Servers overview

# Tetrees Agent EX

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

<p align="center">
  <a href="https://ex.tetrees.ai/en?utm_source=github&utm_medium=readme&utm_campaign=tetrees_agent_public_kit">
    <img src="https://ex.tetrees.ai/images/ai-packs/tetrees-agent-hero.webp" width="960" alt="Tetrees Agent selecting useful intelligence from a holographic shelf" />
  </a>
</p>

<p align="center">
  <strong><a href="https://ex.tetrees.ai/en/products?utm_source=github&utm_medium=readme&utm_campaign=tetrees_agent_public_kit">Explore Tetrees AI Packs</a></strong>
  &nbsp;·&nbsp;
  <a href="https://ex.tetrees.ai/en/mcp?utm_source=github&utm_medium=readme&utm_campaign=tetrees_agent_public_kit">Connect through MCP</a>
  &nbsp;·&nbsp;
  <a href="https://ex.tetrees.ai/en/sell?utm_source=github&utm_medium=readme&utm_campaign=tetrees_agent_public_kit">Publish an AI Pack</a>
</p>

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](https://ex.tetrees.ai/en/account).

Add this to your MCP client's configuration:

```json
{
  "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:

```text
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`](examples/mcp/mcp-config.jsonc).

## Inspect the MCP contract

```bash
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/mcp@2.2.1`.

## Public API CLI

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

```bash
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:

```bash
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:

- `https_api`: fixed HTTPS base URL, declared methods, environment-backed headers.
- `mcp`: a nested MCP server started without a shell and mapped to declared tool names.
- `local_skill`: a no-shell child process receiving one JSON request and returning one JSON result.

Start with:

- [`examples/extensions/client-extensions.example.json`](examples/extensions/client-extensions.example.json)
- [`examples/extensions/local-skill/issue-summary.mjs`](examples/extensions/local-skill/issue-summary.mjs)
- [`docs/BUILDER_GUIDE.md`](docs/BUILDER_GUIDE.md)

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:

```bash
# 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](https://ex.tetrees.ai/en/api-docs) 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`](docs/SELLER_GUIDE.md) and [`examples/seller/pack-listing.example.json`](examples/seller/pack-listing.example.json).

## Stable public references

- [MCP guide](https://ex.tetrees.ai/en/mcp)
- [API documentation](https://ex.tetrees.ai/en/api-docs)
- [OpenAPI 3.1](https://ex.tetrees.ai/docs/tetrees-ai-pack.openapi.yaml)
- [Postman collection](https://ex.tetrees.ai/docs/tetrees-ai-pack.postman.json)
- [AI Pack catalogue](https://ex.tetrees.ai/en/products)

## Security and product boundary

This repository does **not** contain:

- Tetrees Agent implementation, private Pack contents, memory representation, or growth logic;
- Agent AVCP scoring rules, internal evaluation fixtures, service prompts, or moderation logic;
- model-provider credentials, pricing margins, signing keys, storage details, databases, admin APIs, deployment code, or production configuration.

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

## Verify this repository

```bash
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.

What people ask about TetreesAgent_EX

What is TetreesEX/TetreesAgent_EX?

+

TetreesEX/TetreesAgent_EX is mcp servers for the Claude AI ecosystem. This Agent MCP allows you to train external intelligence with zero GPU and let you trade it at Tetrees EX It has 314 GitHub stars and its last recorded update is dated 2026-09-07.

How do I install TetreesAgent_EX?

+

You can install TetreesAgent_EX by cloning the repository (https://github.com/TetreesEX/TetreesAgent_EX) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is TetreesEX/TetreesAgent_EX safe to use?

+

Our security agent has analyzed TetreesEX/TetreesAgent_EX and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains TetreesEX/TetreesAgent_EX?

+

TetreesEX/TetreesAgent_EX is maintained by TetreesEX. The last recorded GitHub activity is dated 2026-09-07, with 0 open issues.

Are there alternatives to TetreesAgent_EX?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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