mirror of
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230 lines
7.2 KiB
Markdown
230 lines
7.2 KiB
Markdown
# MCP Server — Context Engineering Toolkit
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Headroom's MCP server exposes **compression, retrieval, and observability** as tools that any MCP-compatible AI coding tool can use — Claude Code, Cursor, Codex, and more.
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## Quick Start
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```bash
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# Install (MCP is included with proxy, or standalone)
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pip install "headroom-ai[proxy]" # Proxy + MCP tools
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pip install "headroom-ai[mcp]" # MCP tools only (lightweight)
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# Register with Claude Code (one-time)
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headroom mcp install
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# Start Claude Code — it now has headroom tools!
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claude
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```
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That's it. Claude Code can now compress content on demand, retrieve originals, and check session stats — **no proxy required**.
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For automatic compression of ALL traffic, also run the proxy:
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```bash
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# Terminal 1
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headroom proxy
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# Terminal 2
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ANTHROPIC_BASE_URL=http://127.0.0.1:8787 claude
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```
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## Tools
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The MCP server provides three tools:
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### headroom_compress
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Compress content on demand. The LLM calls this when it wants to shrink large content before reasoning over it.
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```
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Tool: headroom_compress
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Parameters:
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- content (required): Text to compress (files, JSON, logs, search results, etc.)
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Returns:
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- compressed: Compressed text
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- hash: Key for retrieving the original later
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- original_tokens / compressed_tokens / savings_percent
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- transforms: Which compression algorithms were applied
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```
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Example — Claude reads a large file, then compresses it:
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```
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Claude: Let me compress this large output to save context space.
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→ headroom_compress(content="[5000 lines of grep results...]")
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← {
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"compressed": "[key matches with context...]",
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"hash": "a1b2c3d4e5f6...",
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"original_tokens": 12000,
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"compressed_tokens": 3200,
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"savings_percent": 73.3,
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"transforms": ["router:search:0.27"]
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}
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```
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The original is stored locally for the session (1-hour TTL). If Claude needs the full content later, it calls `headroom_retrieve`.
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### headroom_retrieve
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Retrieve original uncompressed content by hash.
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```
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Tool: headroom_retrieve
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Parameters:
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- hash (required): Hash key from compression
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- query (optional): Search within the original to return only matching items
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Returns:
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- original_content (full retrieval) or results (search)
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- source: "local" or "proxy"
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```
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Retrieval checks the local store first (content compressed via `headroom_compress`), then falls back to the proxy's store (content compressed automatically by the proxy). Hashes from either source work transparently.
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### headroom_stats
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Session compression statistics — including sub-agent stats and proxy cache info.
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```
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Tool: headroom_stats
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Returns:
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- compressions, retrievals, tokens_saved, savings_percent
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- estimated_cost_saved_usd
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- recent_events (last 10 compression/retrieval events)
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- sub_agents (stats from sub-agent MCP instances, if any)
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- combined (main + sub-agent totals)
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- proxy (request count, cache hits, cost saved — if proxy is running)
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```
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Sub-agent stats are aggregated via a shared stats file at
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`${HEADROOM_WORKSPACE_DIR}/session_stats.jsonl` (default
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`~/.headroom/session_stats.jsonl` — see the
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[Filesystem Contract](filesystem-contract.md)). Each MCP server instance
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(main session and sub-agents) writes events there, and `headroom_stats`
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reads across all of them.
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## Architecture
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### MCP Only (no proxy)
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```
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┌─────────────────────────────────────────────┐
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│ Claude Code / Cursor / Codex │
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│ │
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│ LLM calls headroom_compress on demand │
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│ ↓ │
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│ Compression happens locally in MCP process │
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│ Original stored in local CompressionStore │
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│ ↓ │
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│ LLM calls headroom_retrieve when needed │
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└─────────────────────────────────────────────┘
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```
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### MCP + Proxy (full setup)
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```
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┌─────────────────────────────────────────────┐
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│ Claude Code │
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│ │
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│ 1. Sends request ──→ Proxy (auto-compress) │
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│ 2. Gets response with compressed outputs │
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│ 3. Can call headroom_compress for more │
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│ 4. headroom_retrieve checks: │
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│ local store → proxy store │
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└──────────────────┬──────────────────────────┘
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│ MCP (stdio)
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▼
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┌─────────────────────────────────────────────┐
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│ Headroom MCP Server │
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│ ├── headroom_compress (local compression) │
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│ ├── headroom_retrieve (local + proxy) │
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│ └── headroom_stats (aggregated stats) │
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└─────────────────────────────────────────────┘
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```
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No double-compression: the proxy compresses at the HTTP level (before the LLM sees content). MCP tools operate after the LLM receives content. They don't touch the same data.
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## CLI Commands
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### Install
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```bash
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headroom mcp install # Default setup
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headroom mcp install --proxy-url http://host:9000 # Custom proxy URL
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headroom mcp install --force # Overwrite existing
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```
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### Status
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```bash
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headroom mcp status
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```
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```
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Headroom MCP Status
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========================================
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MCP SDK: ✓ Installed
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Claude Config: ✓ Configured
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/Users/you/.claude/mcp.json
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Proxy URL: http://127.0.0.1:8787
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Proxy Status: ✓ Running at http://127.0.0.1:8787
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```
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### Uninstall
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```bash
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headroom mcp uninstall
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```
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### Debug
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```bash
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headroom mcp serve --debug
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```
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## Cross-Tool Compatibility
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The MCP server works with any MCP-compatible host:
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| Tool | MCP Support | Setup |
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|------|-------------|-------|
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| Claude Code | Native | `headroom mcp install` |
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| Cursor | Supported | Add to Cursor MCP settings |
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| Codex | If supported | Configure MCP server |
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| Any MCP host | Yes | Point to `headroom mcp serve` |
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## Troubleshooting
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### "MCP SDK not installed"
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```bash
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pip install "headroom-ai[mcp]"
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```
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### "Proxy not running" (when using proxy features)
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```bash
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headroom proxy # In another terminal
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```
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### "Entry not found or expired"
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- Content compressed via `headroom_compress`: stored for 1 hour (session TTL)
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- Content compressed by the proxy: stored for 5 minutes (proxy TTL)
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- The proxy must be running for proxy-compressed content
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### Claude doesn't see headroom tools
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1. Check: `headroom mcp status`
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2. Restart Claude Code after installing MCP
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3. Verify with `/mcp` in Claude Code — should show 3 headroom tools
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### Sub-agent stats not showing
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Sub-agent stats appear in `headroom_stats` only after sub-agents have run compressions. The shared stats file is at `${HEADROOM_WORKSPACE_DIR}/session_stats.jsonl` (defaults to `~/.headroom/session_stats.jsonl`).
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