MCP Tools

When the capsem-mcp stdio server is registered with your AI CLI, the agent gains 26 tools for creating and driving VM sessions, running commands, reading and writing files inside the guest, querying telemetry, reading host logs, and calling into the guest MCP path.

All tools use camelCase parameter names on the wire (e.g. ramMb, cpuCount). The source of truth is crates/capsem-mcp/src/main.rs.

Configuration

Register the server in your AI CLI settings. For Claude Code:

{
  "mcpServers": {
    "capsem": { "command": "capsem-mcp" }
  }
}

The binary is installed to ~/.capsem/bin/capsem-mcp by the platform package or source install flow.

Session lifecycle

Tool	Parameters	Description
capsem_create	name?, ramMb?, cpuCount?, env?, image?	Create and boot a new session from a profile. RAM/CPU fall back to profile VM defaults. Returns session ID.
capsem_run	command, timeout?	Run a command in a fresh one-shot VM and destroy it after completion. Returns stdout, stderr, exit_code.
capsem_list	–	List sessions with ID, name, profile, status, RAM, CPUs, uptime, and telemetry.
capsem_info	id	Session details: ID, name, profile, status, RAM, CPUs, version, plugin/profile metadata, telemetry.
capsem_resume	name	Resume a stopped named session or get ID of a running one. Returns session ID.
capsem_suspend	id	Suspend a retained session to disk (saves RAM + CPU state).
capsem_stop	id	Stop a session.
capsem_delete	id	Delete a session permanently. Destroys all retained state for that VM.
capsem_fork	id, name, description?	Fork a running or stopped session into a retained VM/template.
capsem_purge	all?	Clean up disposable sessions. Set all=true to include retained sessions.

Exec and file access

Tool	Parameters	Description
capsem_exec	id, command, timeout?	Run a shell command inside a running session. Returns stdout, stderr, exit_code. Default 30s timeout.
capsem_read_file	id, path	Read a file from the guest filesystem. Returns text content.
capsem_write_file	id, path, content	Write a file into the guest filesystem.

Telemetry and logs

Tool	Parameters	Description
capsem_vm_logs	id, grep?, tail?	Serial + process logs for a session. grep filters lines, tail limits to last N lines.
capsem_service_logs	grep?, tail?	Latest capsem-service logs (last ~100 KB). grep + tail filters.
capsem_host_logs	name, grep?, tail?, maxBytes?	Read an allowlisted host log by symbolic name: service, mcp, gateway, tray, or app.
capsem_panics	since?, limit?, id?	Extract structured Rust panics and backtraces from recent host logs.
capsem_triage	since?, limit?, id?	Summarize recent panics, dropped IPC frames, server errors, and slow operations.
capsem_timeline	id, traceId?, since?, limit?, layers?	Render a time-ordered session timeline across exec, tool, network, filesystem, and model events.

MCP aggregator

These tools let the agent exercise the full guest MCP path through /run/capsem-mcp-server and framed MITM MCP on vsock:5002 (policy + telemetry) without having to drive capsem_exec by hand.

Tool	Parameters	Description
capsem_mcp_servers	–	List configured MCP servers with connection status and tool counts.
capsem_mcp_tools	server?	List discovered MCP tools across all connected servers. Filter by server name to scope to one.
capsem_mcp_call	name, arguments?	Call an MCP tool by namespaced name (e.g. github__search_repos) with JSON arguments.

Diagnostics

Tool	Parameters	Description
capsem_version	–	MCP server version and service connectivity status.

Example workflows

One-shot command in a disposable VM:

{ "tool": "capsem_run", "arguments": { "command": "curl -s https://api.github.com/zen" } }

Iterative debugging in a long-lived VM:

{ "tool": "capsem_create", "arguments": { "name": "dev" } }
{ "tool": "capsem_exec",   "arguments": { "id": "<id>", "command": "capsem-doctor -k net" } }
{ "tool": "capsem_timeline", "arguments": { "id": "<id>", "layers": "net,model,tool,fs", "limit": 50 } }

Fork a template and boot from it:

{ "tool": "capsem_fork",   "arguments": { "id": "<id>", "name": "python-ready" } }
{ "tool": "capsem_create", "arguments": { "image": "python-ready" } }

For CLI equivalents of these commands see the CLI reference.