- src/pi-ext/: self-contained pi extension (mcpctl-pi.ts + vendored mcp-http client) that talks JSON-RPC directly to mcplocal and registers project MCP tools as native pi tools. No MCP client, no ~/.claude. - Persistent per-project session so gated projects ungate on begin_session. - /mcpctl command: status, switch project (GUI), refresh tools, sync skills. - mcpctl config pi: installs extension, wires pi settings, persists active project, syncs skills into ~/.pi/agent/skills. - skills sync: add --agent pi (target install root). - docs + tests.
3.9 KiB
mcpctl × pi — native integration (no MCP, no Claude)
Motivation
With Claude Code, mcpctl config claude --project X wires a project's MCP
servers into the agent two ways:
- a
.mcp.jsonentry runningmcpctl mcp -p X(an MCP stdio bridge), and - a
SessionStarthook +mcpctl skills syncthat materialises server-side skills under~/.claude/skills/.
Claude Code supports MCP natively, so tools travel over MCP. pi does not support MCP. But pi has two native mechanisms that cover the same ground:
- Extensions — TypeScript modules that can register tools, commands, and custom UI, and can talk HTTP directly.
- Skills — pi implements the Agent Skills standard
and loads
SKILL.mdtrees (the exact format mcpctl already syncs).
This addon exploits both so mcpctl works with pi only, with no MCP and
no dependency on ~/.claude/ (so it keeps working if you drop Claude).
How it works
The MCP layer is not magic. mcpctl mcp is just a JSON-RPC ↔ stdio bridge that
forwards to mcplocal's Streamable-HTTP endpoint:
POST {mcplocalUrl}/projects/<project>/mcp
Accepts: application/json, text/event-stream
Authorization: Bearer <token>
The protocol is JSON-RPC over HTTP:
initialize→ returns anmcp-session-idheadernotifications/initializedtools/list→{ tools: [{ name, description, inputSchema }] }tools/call→{ name, arguments }→{ content, isError }
The pi extension is a direct JSON-RPC client to that same endpoint. It replaces the MCP transport with a plain function call, so pi never needs an MCP client library.
Gating
Some projects are gated: until begin_session is called, tools/list returns
only begin_session. After it is called the full tool set appears.
Critical subtlety: mcplocal's gate state is bound to a mcp-session-id. A
fresh session is gated again even after another session was ungated — so the
extension keeps one persistent McpHttpSession per active project and
routes every tools/call through it. After each call it re-runs tools/list
and reconciles the active pi tool set, so calling begin_session automatically
opens the gate and reveals the rest — no push listener required (mcplocal's HTTP
responses are request/response, not a persistent push stream).
Deliverables
| Artifact | Purpose |
|---|---|
src/pi-ext/mcpctl-pi.ts |
Self-contained pi extension (load via pi -e or settings extensions) |
mcpctl config pi |
CLI wiring: registers the extension with pi + initial skill sync |
docs/pi-extension.md |
This document |
Project switching
The active project is persisted in ~/.mcpctl/pi-state.json (settable, immune to
your shell's cwd) and is also inferred from a .mcpctl-project marker walk-up.
/mcpctl opens an interactive menu; switch project lists projects via
ctx.ui.select() and reloads the tool set for the new project, namespaced so
projects never collide.
Tool naming
To allow multiple projects and avoid schema collisions, registered pi tools are
namespaced: mc_<project-slug>_<mcp-tool-name>. Only the current project's
tools are in the active set at any time.
Skills
Skills already sync in the Agent Skills SKILL.md format. mcpctl config pi
(when given a project) writes them under pi's own directory
~/.pi/agent/skills/ and registers that directory in ~/.pi/agent/settings.json
— no Claude involvement. mcpctl pi sync-skills (a thin wrapper) re-runs the
existing skills code path against the pi target directory.
Layout
src/pi-ext/
mcpctl-pi.ts # the extension (self-contained)
mcp-http.ts # vendored Streamable-HTTP JSON-RPC client (no deps)
The extension imports only from pi-bundled packages
(@earendil-works/pi-coding-agent, @earendil-works/pi-ai, typebox), so it
loads standalone.