9bdf00f51f
Claude Code now supports MCP servers over HTTP natively (type: "http"
in .mcp.json). The stdio↔HTTP bridge binary was a workaround for the
older stdio-only constraint and is no longer needed — the supervisor
NodePort on koala (30320) is reachable over Tailscale from any client
machine.
Removed:
- cmd/bridge/ (Go source, ~60 lines)
- bin/supervisor-bridge artifact
- Taskfile bridge:build target and the build aggregate's reference
- README "Build the bridge binary" instruction
Updated:
- .mcp.json switched to {type:"http", url:"http://koala:30320/mcp"}
- README architecture diagram and "Connect a project" section
Behavioural prerequisite for this change shipped in 7f7524c
(notifications fix). Verified end-to-end: tier tool call returns
{tier:2, label:"lan-only"} via direct HTTP, no shim.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
110 lines
3.7 KiB
Markdown
110 lines
3.7 KiB
Markdown
# hyperguild
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An MCP server that acts as a disciplined AI supervisor for Claude Code sessions.
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Instead of letting Claude Code do whatever it wants, hyperguild enforces structured
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workflows (TDD red/green/refactor), logs every session, and accumulates learnings
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into a searchable brain.
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## How it works
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```
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Your Claude Code session (in any project)
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│
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│ MCP over HTTP (Tailscale)
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▼
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supervisor :3200 (NodePort 30320 on koala) — skill workers: tdd, retrospective
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ingestion :3300 — brain HTTP API: query wiki, write notes
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│
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▼
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brain/
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├── sessions/ — JSONL log, one file per session_id
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├── wiki/ — searchable knowledge (full-text)
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│ ├── concepts/
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│ ├── entities/
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│ └── sources/
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├── raw/ — retrospective output, staged for review
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└── training-data/ — SFT/DPO/RL data (Phase 2)
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```
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## Phase 1 tools (available now)
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| Tool | What it does |
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|------|-------------|
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| `tdd_red` | Writes a failing test for a spec, verifies it fails |
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| `tdd_green` | Writes the minimal implementation to make tests pass |
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| `tdd_refactor` | Cleans up implementation while keeping tests green |
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| `session_log` | Appends a structured entry to the session JSONL log |
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| `retrospective` | Reads the session log, identifies novel learnings, writes to brain/raw/ |
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| `brain_query` | Full-text search over brain/wiki/ |
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| `brain_write` | Writes a note to brain/raw/ (with optional YAML frontmatter) |
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| `tier` | Returns the current connectivity tier (1=cloud, 2=LAN, 3=offline) |
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## Start the servers
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```bash
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# Requires goreman: go install github.com/mattn/goreman@latest
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task start # starts ingestion (:3300) + supervisor (:3200) via goreman
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task stop # kills both by port
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```
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## Connect a project
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Create `.mcp.json` in your project root:
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```json
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{
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"mcpServers": {
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"supervisor": {
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"type": "http",
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"url": "http://koala:30320/mcp"
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}
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}
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}
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```
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The supervisor MCP server is reachable over Tailscale at `koala:30320` (NodePort
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to the in-cluster service on port 3200). No local binary or stdio shim is
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required — Claude Code talks to it directly via HTTP.
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Open Claude Code in your project — run `/mcp` to confirm `supervisor` is listed.
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## A typical TDD session
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```
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1. Call tdd_red → spec in, failing test file out
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2. Call tdd_green → test path in, implementation out
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3. Call tdd_refactor → impl + test in, cleaned code out
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4. Call session_log → log each phase result
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5. Call retrospective → extracts learnings → brain/raw/
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6. Review brain/raw/, move worthy notes to brain/wiki/concepts/
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7. Future sessions: call brain_query to retrieve relevant context
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```
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## Tier detection
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The supervisor probes connectivity at call time:
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| Tier | Label | Condition |
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|------|-------|-----------|
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| 1 | full-online | Can reach api.anthropic.com |
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| 2 | lan-only | Can reach LiteLLM but not Anthropic |
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| 3 | airplane | No external connectivity |
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## Key env vars
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| Variable | Default | Purpose |
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|----------|---------|---------|
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| `INGEST_BRAIN_DIR` | `../brain` | Brain directory for ingestion server |
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| `INGEST_PORT` | `3300` | Ingestion server port |
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| `SUPERVISOR_CONFIG_DIR` | `./config/supervisor` | Skill discipline files |
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| `SUPERVISOR_SESSIONS_DIR` | `./brain/sessions` | JSONL session logs |
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| `INGEST_BASE_URL` | `http://localhost:3300` | Supervisor → ingestion |
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| `LITELLM_BASE_URL` | — | LiteLLM proxy for Tier 2 model routing |
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## Phase 2 (planned)
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- `review` skill — structured code review with iron law enforcement
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- `debug` skill — hypothesis-driven debugging sessions
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- `spec` skill — generates specs from conversations
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- `trainer` — extracts SFT/DPO pairs from session logs for fine-tuning
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