ai.tetrees.ex/mcp is an MCP server that own, grow and trade portable agent intelligence via TAIP/1 Packs and MCP. Its tool list has not been published yet over http, requires no API key, and scores 89/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"tetrees-ai": {
"env": {
"TETREES_TOKEN": "<revocable-account-token>",
"TETREES_API_URL": "https://ex.tetrees.ai/api"
},
"args": [
"-y",
"https://ex.tetrees.ai/pkg/tetrees-mcp.tgz?v=2.2.1"
],
"command": "npx"
}
}
}Are you the author?
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Own, grow and trade portable agent intelligence via TAIP/1 Packs and MCP.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked export against OSV.dev.
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Public integration kit for using, growing, buying, and publishing Tetrees AI Packs through the hosted Tetrees Agent MCP and API.
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.
| 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.
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.
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.
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
... [View full README on GitHub](https://github.com/tetreesex/tetreesagent_ex#readme)