Expose stable MCP/server tool profiles so chat hosts can start narrow and widen only when needed. This adds vm-run, workspace-core, and workspace-full across the CLI serve path, Pyro.create_server(), and the package-level create_server() factory while keeping workspace-full as the default. Register profile-specific tool sets from one shared contract mapping, and narrow the workspace-core schemas so secrets, network policy, shells, services, snapshots, and disk tools do not leak into the default persistent chat profile. The full surface remains available unchanged under workspace-full. Refresh the public docs and examples around the profile progression, add a canonical OpenAI Responses workspace-core example, mark the 3.4.0 roadmap milestone done, and verify with uv lock, UV_CACHE_DIR=.uv-cache make check, UV_CACHE_DIR=.uv-cache make dist-check, and a real guest-backed workspace-core smoke for create, file write, exec, diff, export, reset, and delete.
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MCP Client Config Example
pyro-mcp is intended to be exposed to LLM clients through the public pyro CLI.
Generic stdio MCP configuration using uvx:
{
"mcpServers": {
"pyro": {
"command": "uvx",
"args": ["--from", "pyro-mcp", "pyro", "mcp", "serve", "--profile", "workspace-core"]
}
}
}
If pyro-mcp is already installed locally, the same server can be configured with:
{
"mcpServers": {
"pyro": {
"command": "pyro",
"args": ["mcp", "serve", "--profile", "workspace-core"]
}
}
}
Profile progression:
vm-run: expose onlyvm_runworkspace-core: the default persistent chat profileworkspace-full: shells, services, snapshots, secrets, network policy, and disk tools
Primary profile for most agents:
workspace-core
Use lifecycle tools only when the agent needs persistent VM state across multiple tool calls.
Concrete client-specific examples:
- Claude Desktop: examples/claude_desktop_mcp_config.json
- Cursor: examples/cursor_mcp_config.json