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Cross IDE Support
slipstream's full experience — skills, hooks, lossless compaction, the statusline and the dashboard — runs inside Claude Code. But the token-saving core and now the live dashboard and budget gauge work in any MCP-capable editor: Cursor, Windsurf, Antigravity, generic VS Code, anything that speaks the Model Context Protocol.
The trick is that the MCP server is the one component every editor runs, and the standalone web dashboard is the one UI that works everywhere (a browser tab beside the editor). So the MCP server feeds itself and the dashboard, with no editor hooks required.
Editor (Cursor / Windsurf / Antigravity / VS Code)
│ stdio (MCP)
▼
slipstream MCP server ──writes──► .claude/slipstream/ (project-local store)
│ (auto-starts dashboard) ├─ dashboard/<session>.jsonl per-tool activity
▼ ├─ budget.json target + thresholds
slipstream dashboard (127.0.0.1 + SSE) └─ observations/… self-built memory
▲
browser tab (the universal UI)
One project-local store is the source of truth: the MCP server writes, the dashboard tails it over server-sent events.
| Capability | Claude Code (plugin) | Cursor / Windsurf / Antigravity / VS Code (MCP) |
|---|---|---|
sp_* navigation + memory tools |
✅ | ✅ |
| Live activity dashboard | ✅ via hooks | ✅ via MCP-server-emitted events |
| Token-budget gauge + control | ✅ statusline + dashboard | ✅ dashboard gauge + budget.json
|
| Auto-start dashboard | ✅ SessionStart hook | ✅ MCP server boots it |
| Auto-captured observation memory | ✅ Stop hook | slipstream observe, or capture via the dashboard feed |
| Skills / slash commands / statusline | ✅ |
Phase 1 — the server feeds the dashboard. After every tools/call, the MCP server appends a post-tool event to the same append-only log the hooks use (src/mcp/server.ts), so the dashboard fills with activity even though Cursor/Windsurf expose no hooks. Each connection gets a readable session id derived from the client name (sessionFromClient), so each editor session is distinct in the picker. Inside Claude Code the PostToolUse hook already emits, so the plugin sets SLIPSTREAM_MCP_EMIT=0 to keep the server quiet and avoid double-counting.
Phase 2 — zero setup. On connect the server starts the dashboard itself (detached, idempotent), gated by SLIPSTREAM_DASHBOARD (the plugin sets it to 0 because its SessionStart hook already does this). Ask the agent to "open the dashboard" and the sp_dashboard tool returns the URL in any editor.
Phase 3 — budget control. A single .claude/slipstream/budget.json (targetTokens, warnPct, compactPct, optional actualTokens) is read by the dashboard gauge, the sp_budget tool and the statusline alike, so they always agree. The dashboard gauge climbs as tools pull context, turning amber then red at your thresholds, and a panel lets you set them.
Inside Claude Code the gauge shows the true number. Claude Code's statusline payload includes transcript_path, and slipstream reads the latest usage block in that transcript — input + cache read + cache creation + output — to get the real context-window occupancy, then writes it to budget.json actualTokens. The gauge labels its source actual versus estimated, and the statusline marks an exact reading with a trailing * (ctx 47%*). In editors that expose no readable transcript over MCP, the gauge falls back to context slipstream pulled in (an estimate); paste your editor's real number into actualTokens to calibrate.
Phase 4 — the work view. The dashboard shows a rolled-up "Session work" panel — files touched, a tool-use breakdown, cumulative tokens, and how much slipstream optimised (saved tokens and the percentage trimmed versus whole-file reads) — alongside the activity stream, plan, mind map and memory search, with a multi-session switcher and live SSE refresh.
The optimization metric works everywhere. Unlike the context gauge, "how much slipstream saved you" needs nothing from the host: every scoped read records the bytes it served versus the whole-file baseline, so sp_savings, the opt % statusline segment and the dashboard report an exact figure in Cursor, Windsurf, Antigravity and VS Code just as in Claude Code. See Token efficiency.
git clone https://github.com/sarmakska/slipstream
cd slipstream
pnpm install
pnpm build
Register the built server in your editor's MCP config:
{
"mcpServers": {
"slipstream": {
"command": "node",
"args": ["/absolute/path/to/slipstream/dist/mcp/index.js"]
}
}
}-
Cursor:
.cursor/mcp.jsonin the project, or Settings → MCP. -
Windsurf:
~/.codeium/windsurf/mcp_config.json, or Settings → Cascade MCP. - Antigravity: Settings → MCP section.
-
Any MCP client: wherever it reads an
mcpServersblock.
Open the editor, ask the agent to orient with sp_map and to call sp_dashboard, then open the printed 127.0.0.1 URL. The dashboard fills as the agent works.
- The budget gauge is true inside Claude Code (read from the session transcript) but only an estimate in editors that expose no readable transcript over MCP — there, no server can read the real token count. The estimate is still useful (slipstream's job is shrinking what gets pulled in), and
actualTokenslets you calibrate it by hand. - Skills, slash commands and the statusline are Claude Code plugin features. Outside it they are partially replaced by MCP tools and the dashboard, not reproduced one-to-one.
- A true in-editor panel (versus a browser tab) would need a dedicated editor extension; the browser dashboard is the portable surface.
-
MCP tools — every
sp_tool, includingsp_dashboardandsp_lessons. - Live agent dashboard — the dashboard internals.
-
Configuration and tuning —
SLIPSTREAM_MCP_EMIT,SLIPSTREAM_DASHBOARDandbudget.json.
SarmaLinux . sarmalinux.com . Repository
Start here
Install paths
v0.6.0 features
- Map watcher
- Token forecast
- Replay export
- Configurable redaction
- Drift detection
- Per-skill opt %
- CI mode
- Lessons
Headline features
- MCP tools
- Observation memory & search
- Cross-IDE support
- Lossless compaction
- Memory recall
- Live agent dashboard
- Statusline
- Output style
- Subagents
Token efficiency
Skills
Internals
- Architecture
- Memory system
- Hooks
- Mind map and status
- Configuration and tuning
- Data formats
- Performance and benchmarks
- Design decisions
- Security model
- Testing strategy
Reference
SarmaLinux . sarmalinux.com