# Evaluation: MCP server wrapper for factory tools **Issue**: #713 **Date**: 2026-03-26 **Status**: Not recommended at this time ## Question Should disinto expose factory tools as an MCP (Model Context Protocol) server, in addition to the existing SKILL.md skill? ## Current state The SKILL.md skill (v0.2.0) already exposes factory operations to MCP-compatible clients via three bash scripts: | Script | Capability | MCP tool equivalent | |--------|-----------|-------------------| | `skill/scripts/factory-status.sh` | Agent health, open issues, CI pipelines | `factory_status`, `list_issues`, `ci_status` | | `skill/scripts/file-issue.sh` | Create issues with labels | `file_issue` | | `skill/scripts/read-journal.sh` | Read planner/supervisor journals | `read_journal` | The dependency graph analysis (`lib/build-graph.py`) is available but runs locally — not exposed through the skill scripts. ## Analysis ### What an MCP server would add An MCP server would provide typed JSON-RPC tool definitions with schemas for each parameter, structured error responses, and transport-level features (SSE streaming, session management). Clients could discover tools programmatically instead of parsing SKILL.md instructions. ### What it would cost 1. **New language dependency.** The entire factory is bash. An MCP server requires TypeScript (`@modelcontextprotocol/sdk`) or Python (`mcp` package). This adds a build step, runtime dependency, and language that no current contributor or agent maintains. 2. **Persistent process.** The factory is cron-driven — no long-running daemons. An MCP server must stay up, be monitored, and be restarted on failure. This contradicts the factory's event-driven architecture (AD-004). 3. **Thin wrapper over existing APIs.** Every proposed MCP tool maps directly to a forge API call or a skill script invocation. The MCP server would be `curl` with extra steps: ``` MCP client → MCP server (TypeScript) → forge API (HTTP) → Forgejo ``` vs. the current path: ``` SKILL.md instruction → bash script → forge API (HTTP) → Forgejo ``` 4. **Maintenance surface.** MCP SDK versioning, transport configuration (stdio vs SSE), authentication handling, and registry listings all need ongoing upkeep — for a wrapper that adds no logic of its own. ### Overlap with SKILL.md The SKILL.md skill already works with Claude Code, Claude Desktop, and any client that supports the skill/tool-use protocol. The scripts it references are the same scripts an MCP server would wrap. Adding MCP does not unlock new capabilities — it provides an alternative invocation path. ### When MCP would make sense - **Non-Claude MCP clients** need to operate the factory (VS Code Copilot, Cursor, custom agents using only MCP transport). - **Type safety** becomes a real issue — structured schemas prevent misformed requests that natural language instructions currently handle. - **The factory adopts a server model** — if a persistent API gateway is added for other reasons, exposing MCP tools becomes low marginal cost. - **Graph queries** need remote access — `build-graph.py` is the one tool that doesn't have a simple curl equivalent and could benefit from structured input/output schemas. ## Recommendation **Do not build an MCP server now.** The SKILL.md skill already covers the primary use case (human-assisted factory operation via Claude). The six proposed MCP tools map 1:1 to existing scripts and API calls, so the server would be pure glue code in a language the factory doesn't use. **Revisit when** any of these conditions are met: 1. A concrete use case requires MCP transport (e.g., a VS Code extension that operates the factory and cannot use SKILL.md). 2. The factory adds a persistent API gateway (forge proxy, webhook receiver) that could host MCP endpoints at near-zero marginal cost. 3. Graph analysis (`build-graph.py`) is needed by external clients — this is the strongest candidate for a standalone MCP tool since it has complex input/output that benefits from typed schemas. **If revisiting**, scope to a minimal stdio-transport server wrapping only `factory_status` and `query_graph`. Do not duplicate what the skill scripts already provide unless there is demonstrated client demand.