Tetrees AI MCP MCP server

The official Tetrees AI MCP server enables agents to manage portable agent intelligence (TAIP/1). It allows users to search, acquire, download, and run AI Packs, manage ownership and growth checkpoints, and publish new packs to the exchange using a single authenticated account token.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Tetrees

MCP endpoint (Streamable HTTP)

https://ex.tetrees.ai/mcp

Vendor documentation

What you can do with it

Search and acquire AI Packs
Run AI Packs with Points or BYOK
Publish AI Packs to the exchange
Manage agent memory and growth

Tools advertised by the last live check:

accept_ai_pack_terms
search_ai_packs
list_owned_ai_packs
acquire_free_ai_pack
download_ai_pack
get_ai_pack_report
list_agent_models
get_ai_pack_runtime_profile
quote_agent_run
run_ai_pack
prepare_local_ai_pack_run
execute_client_extension
propose_ai_pack_growth
accept_ai_pack_growth
list_ai_pack_growth
select_ai_pack_growth_version
create_ai_pack_draft
update_ai_pack_draft
upload_ai_pack
upload_ai_pack_image
get_ai_pack_submission_readiness
submit_ai_pack_for_audition
quote_ai_pack_audition
run_ai_pack_audition
get_ai_pack_private_report
publish_ai_pack

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http tetrees-ai-mcp https://ex.tetrees.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add tetrees-ai-mcp --url https://ex.tetrees.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable tetrees-ai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "tetrees-ai-mcp": {
      "url": "https://ex.tetrees.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "tetrees-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://ex.tetrees.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start tetrees-ai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "tetrees-ai-mcp": {
      "type": "http",
      "url": "https://ex.tetrees.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http tetrees-ai-mcp https://ex.tetrees.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "tetrees-ai-mcp": {
      "url": "https://ex.tetrees.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "tetrees-ai-mcp": {
      "serverUrl": "https://ex.tetrees.ai/mcp"
    }
  }
}

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