harshal-mcp-proxy
v1.1.0
Published
MCP gateway with schema deferral + response shielding. Replaces 12+ MCP servers with 6 tools, saves ~99% context tokens and ~2.7GB RAM via shared HTTP daemon mode.
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harshal-mcp-proxy
Custom MCP gateway that sits between your AI clients (pi, VS Code, opencode) and your upstream MCP servers. Combines schema deferral (from mcp-gateway) with response shielding (from tldr) in a single TypeScript server.
What it does
Instead of your AI client loading 40-70K tokens of tool schemas from 12+ MCP servers at startup, it loads 6 tool definitions from this proxy (~375 tokens). The proxy then:
Schema deferral — Tools are discovered via BM25 search (
gateway.search), full schemas loaded on demand (gateway.describe), and executed through the proxy (gateway.invoke). The model never sees schemas it doesn't need.Response shielding — Every tool response passes through a truncation engine before reaching the model context:
- Arrays >50 items → capped at 50, remainder stored for pagination
- Strings >8192 chars → truncated with marker
- Heavy fields in array-of-objects → stripped (avg >256 bytes), signal fields preserved
- Total response >64KB → iteratively shrunk to fit
- Full untruncated responses stored in a ring buffer (last 100), accessible via
gateway.get_resultwith pagination, field projection, and text search
Shared process elimination — In daemon mode, ONE proxy instance serves ALL your AI clients (pi, VS Code, etc.), eliminating duplicate MCP server processes.
On-demand lazy loading — MCP server processes are no longer started at boot. Instead, tool schemas are loaded from disk-based catalog snapshots at startup. The actual server process is spawned only when you first invoke a tool on that server. After 5 minutes of inactivity, the idle monitor auto-disconnects it — freeing RAM and CPU without losing searchability.
Why the Shared Daemon?
Every AI coding agent (pi session, VS Code MCP extension) traditionally spawns its own complete set of MCP server processes. With 12+ MCP servers in your config, this means:
┌──────────────┐ ┌──────────────────┐ ┌──────────────────┐
│ pi session 1│────►│ harshal-mcp- │────►│ 12 MCP servers │
│ │ │ proxy (stdio) │ │ (1.3 GB) │
├──────────────┤ └──────────────────┘ └──────────────────┘
│ pi session 2│────►┌──────────────────┐ ┌──────────────────┐
│ │ │ harshal-mcp- │────►│ 12 MCP servers │
├──────────────┤ │ proxy (stdio) │ │ (1.3 GB) │
│ VS Code │────►└──────────────────┘ └──────────────────┘
└──────────────┘ ┌──────────────────┐
│ 12 MCP servers │
│ (1.3 GB) │
└──────────────────┘3 sets × 12 servers = 36 processes, ~4 GB wasted RAM.
With the shared daemon:
┌──────────────┐ ┌────────────────────────┐ ┌──────────────────┐
│ pi session 1│────►│ │ │ │
├──────────────┤ │ harshal-mcp-proxy │────►│ 12 MCP servers │
│ pi session 2│────►│ daemon (HTTP port │ │ (1.3 GB) │
├──────────────┤ │ 8765) │ │ ONE SET │
│ VS Code │────►│ │ │ │
└──────────────┘ └────────────────────────┘ └──────────────────┘3 clients × 1 daemon = ~10 MCP processes, saves ~2.7 GB RAM.
Two Modes
Mode 1: Stdio (original, single-client)
Each client spawns its own proxy instance via stdio. One consumer at a time.
node dist/index.jsMode 2: HTTP Daemon (recommended, multi-client)
One proxy daemon serves all clients over HTTP. Uses MCP Streamable HTTP transport (JSON-RPC 2.0).
node dist/index.js --daemon
# or with custom port:
node dist/index.js --port 8765Mode 3: Catalog Discovery (snapshot builder)
Build tool schema snapshots for all servers without keeping them running. Run this once after adding a new server or updating tool schemas.
node dist/index.js --discover
# Connects to ALL servers, fetches tool schemas, saves snapshots to disk, then exitsCatalog snapshots are stored in ~/.cache/harshal-mcp-proxy/catalogs/.
The 6 Gateway Tools
| Tool | Purpose | Token Cost |
|------|---------|------------|
| gateway.search | BM25 fuzzy search over all upstream tools | Returns IDs + descriptions only |
| gateway.describe | Get full inputSchema for one tool | On-demand, only when needed |
| gateway.invoke | Execute tool synchronously (with response shielding) | Response auto-truncated |
| gateway.invoke_async | Queue tool for async execution | Returns jobId immediately |
| gateway.invoke_status | Poll async job status | Minimal response |
| gateway.get_result | Paginate through truncated responses | Offset/limit/fields/search |
Model Workflow
1. gateway.search { query: "cypher query", limit: 5 }
→ Returns: [ { id: "neo4j-cypher::run_cypher_query", score: 4.2 }, ... ]
2. gateway.describe { id: "neo4j-cypher::run_cypher_query" }
→ Returns: { inputSchema: { query: "string", params: "object" } }
3. gateway.invoke { id: "neo4j-cypher::run_cypher_query", args: { query: "MATCH (n) RETURN n LIMIT 10" } }
→ Returns: { content: [...], _ref: "r3", _truncated: true }
4. gateway.get_result { ref: "r3", offset: 50, limit: 50, fields: ["name", "id"] }
→ Returns: next page of results with field projectionQuick Start (AI-Powered Setup)
Want an AI agent to set this up for you? Give it the prompt in
SETUP_PROMPT.md.
cat SETUP_PROMPT.md | pbcopy # macOS
cat SETUP_PROMPT.md | xclip # Linux (or just cat the file and copy it)The prompt covers: installation, config, systemd service, pi integration, VS Code integration, agent context installation, verification, and troubleshooting — all in one shot.
For existing installations: Teach Your Agent
If you already have harshal-mcp-proxy running but your agent doesn't know how to call the gateway tools, use the AGENT-CONTEXT.md file:
# Copy into your agent's config:
# For Pi:
cp AGENT-CONTEXT.md .pi/rules/mcp-proxy-context.md
# For Claude Code / Opencode:
cp AGENT-CONTEXT.md .opencode/rules/mcp-proxy-context.md
# For Cline (VS Code):
cp AGENT-CONTEXT.md .clinerules
# For Cursor:
cp AGENT-CONTEXT.md .cursorrulesThen reference it in your agent's startup config (e.g., .pi/APPEND_SYSTEM.md,
AGENTS.md, CLAUDE.md, .cursorrules, etc.) so every session loads it.
Installation
Option 1: Install from npm (recommended)
# Global install — binary available as `harshal-mcp-proxy` in PATH
npm install -g harshal-mcp-proxy
# Or run directly without installing:
npx harshal-mcp-proxy
# Create config from template (EDIT THIS with your values)
mkdir -p ~/.config/harshal-mcp-proxy
cp $(npm root -g)/harshal-mcp-proxy/config.example.json ~/.config/harshal-mcp-proxy/config.json
# ⚠️ Edit ~/.config/harshal-mcp-proxy/config.json with your API keys and paths
# Verify it works (stdio mode)
harshal-mcp-proxy
# Should print: harshal-mcp-proxy starting (stdio)...
# Then: __MCP_GATEWAY_STDIO_READY__
# Ctrl+C to stopOption 2: Clone from source
# Clone the repo
gh repo clone HarshalRathore/harshal-mcp-proxy
cd harshal-mcp-proxy
# Install dependencies
npm install
# Build
npm run build
# Create config from template (EDIT THIS with your values)
cp config.example.json ~/.config/harshal-mcp-proxy/config.json
# ⚠️ Edit ~/.config/harshal-mcp-proxy/config.json with your API keys and paths
# Verify it works (stdio mode)
node dist/index.js
# Should print: harshal-mcp-proxy starting (stdio)...
# Then: __MCP_GATEWAY_STDIO_READY__
# Ctrl+C to stop⚠️ Security:
config.jsoncontains API keys and secrets. It is excluded from version control via.gitignore. Always useconfig.example.jsonas the template and keep your actualconfig.jsonlocal.
Setup: HTTP Daemon Mode (Systemd User Service)
This is the recommended setup — runs the proxy as a persistent background service that all your AI clients connect to remotely.
Step 1: Install the systemd unit
The .service file ships with the package. Copy it to your user systemd directory:
mkdir -p ~/.config/systemd/user
# If installed from npm:
cp $(npm root -g)/harshal-mcp-proxy/harshal-mcp-proxy.service ~/.config/systemd/user/
# If cloned from source:
# cp harshal-mcp-proxy.service ~/.config/systemd/user/
# Edit the path in the service file to match your setup:
sed -i "s|/home/username/|$HOME/|" ~/.config/systemd/user/harshal-mcp-proxy.service
# If using npm global install, the binary is already in PATH — just uncomment the right lineThe service file supports two modes (edit it to choose one):
- npm global install:
ExecStart=harshal-mcp-proxy --daemon(binary in PATH) - Source clone:
ExecStart=/usr/bin/node /path/to/dist/index.js --daemon
Step 2: Enable and start
systemctl --user daemon-reload
systemctl --user enable harshal-mcp-proxy # auto-start at boot
systemctl --user start harshal-mcp-proxy # start now
systemctl --user status harshal-mcp-proxy # verifyStep 3: Verify
# Health check
curl http://localhost:8765/health
# MCP initialize
curl -X POST http://localhost:8765/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'
# List tools
curl -X POST http://localhost:8765/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'Step 4: Manage the service
systemctl --user stop harshal-mcp-proxy # stop daemon
systemctl --user restart harshal-mcp-proxy # restart
systemctl --user disable harshal-mcp-proxy # disable auto-start
journalctl --user -u harshal-mcp-proxy -f # follow logsClient Configuration
For pi (pi-mcp-adapter)
Create or update ~/.pi/agent/mcp.json (global) or <project>/.pi/mcp.json (project-level):
{
"mcpServers": {
"harshal-mcp-proxy": {
"url": "http://localhost:8765/mcp",
"description": "Shared MCP gateway — search, describe, invoke access to all tools"
}
}
}Then reload pi's MCP config with /mcp reconnect or restart the pi session.
For VS Code
Update <project>/.vscode/mcp.json (project-level) or ~/.config/Code/User/mcp.json (global):
{
"servers": {
"harshal-mcp-proxy": {
"type": "streamableHttp",
"url": "http://localhost:8765/mcp",
"description": "Shared MCP gateway — provides search, describe, and invoke access to all tools"
}
}
}Replace all individual MCP server entries (playwright, shadcn, neo4j, etc.) with this single entry. Restart VS Code or reload the MCP extension.
For opencode
Update opencode.json:
{
"mcp": {
"harshal-mcp-proxy": {
"type": "remote",
"url": "http://localhost:8765/mcp",
"transport": "streamable_http"
}
}
}Architecture
Stdio Mode (legacy, single-client)
┌──────────────┐ stdio ┌──────────────────────────┐
│ AI Client │ ──────────── → │ harshal-mcp-proxy │
│ (sees 6 │ ← ────────── │ │
│ tools) │ │ ┌──────────────────┐ │
└──────────────┘ │ │ SearchEngine │ │ ← BM25 index
│ │ (MiniSearch) │ │
│ └──────────────────┘ │
│ ┌──────────────────┐ │
│ │ ResponseShield │ │ ← Truncation
│ │ ResponseStore │ │ ← Ring buffer
│ └──────────────────┘ │
│ ┌──────────────────┐ │
│ │ ConnectionMgr │ ───── → Upstream MCP
│ └──────────────────┘ │ servers (stdio)
└──────────────────────────┘HTTP Daemon Mode (recommended, multi-client)
┌──────────────┐ HTTP POST ┌──────────────────────────┐
│ pi #1 │ ──────────────► │ │
├──────────────┤ │ harshal-mcp-proxy │
│ pi #2 │ ──────────────► │ daemon (port 8765) │
├──────────────┤ │ │
│ VS Code │ ──────────────► │ ┌──────────────────┐ │
├──────────────┤ │ │ JSON-RPC 2.0 │ │
│ opencode │ ──────────────► │ │ over HTTP POST │ │
└──────────────┘ │ └──────────────────┘ │
│ ┌──────────────────┐ │
│ │ SearchEngine │ │
│ └──────────────────┘ │
│ ┌──────────────────┐ │
│ │ ResponseShield │ │
│ │ ResponseStore │ │
│ └──────────────────┘ │
│ ┌──────────────────┐ │
│ │ ConnectionMgr │ ───── → ONE set of
│ └──────────────────┘ │ upstream MCP
└──────────────────────────┘ servers
All clients share ONE set of upstream MCP server processes.
No duplicate npm exec, no wasted RAM.Migration Guide
From stdio to daemon mode
1. Install the service:
# Build the proxy if not already built
cd /path/to/harshal-mcp-proxy && npm run build
# Enable and start the daemon
systemctl --user daemon-reload
systemctl --user enable harshal-mcp-proxy
systemctl --user start harshal-mcp-proxy2. Update your clients:
| Client | Config file | Change |
|--------|-------------|--------|
| pi | ~/.pi/agent/mcp.json or <project>/.pi/mcp.json | Set url to http://localhost:8765/mcp |
| VS Code | <project>/.vscode/mcp.json | Set type: "streamableHttp" + url |
| opencode | opencode.json | Set type: "remote" + url |
3. Remove old local command configs:
Delete entries that used type: "local" with individual command arrays for each
MCP server (e.g., playwright, shadcn, neo4j, searxng, etc.). The daemon manages all
upstream servers via its own ~/.config/harshal-mcp-proxy/config.json.
4. Reload / restart clients:
- pi: run
/mcp reconnector restart pi session - VS Code: restart the MCP extension or VS Code itself
- opencode: close and reopen
5. Verify:
Check the daemon health:
curl http://localhost:8765/health
# Expected: {"status":"ok","servers":12,"tools":130,...}Check that only ONE set of MCP server processes is running:
ps aux | grep "npm exec" | grep -v grep | wc -l
# Before (3 clients): ~35 processes
# After (daemon): ~10 processesConfiguration Hot-Reload
The daemon watches ~/.config/harshal-mcp-proxy/config.json for changes, just like the
stdio mode. When you edit it:
- New servers are connected automatically
- Removed servers are disconnected
- Changed configs trigger reconnection
"enabled": falsedisables a server without removing it
No restart needed.
Config File
~/.config/harshal-mcp-proxy/config.json defines all upstream MCP servers.
The lazy field controls on-demand loading per server. When enabled, the server
process is NOT started at boot — tool schemas are loaded from a cached snapshot.
The process spawns on first use and auto-disconnects after idle timeout.
Minimal config (one lazy server)
{
"playwright": {
"type": "local",
"command": ["npx", "@playwright/mcp@latest", "--extension"],
"lazy": { "enabled": true }
}
}All 12 servers lazy (paste this pattern on every server)
{
"repeato-backend-mcp-server": {
"type": "local",
"command": ["node", "server/index.js"],
"lazy": { "enabled": true }
},
"neo4j-cypher": {
"type": "local",
"command": ["npx", "-y", "mcp-neo4j-server"],
"lazy": { "enabled": true }
},
...
}{
"server-name": {
"type": "local",
"command": ["npx", "-y", "some-mcp-package"],
"enabled": true,
"lazy": {
"enabled": true,
"idleTimeoutMs": 300000,
"connectTimeoutMs": 10000,
"maxRamMb": 512,
"prewarm": false
}
},
"remote-server": {
"type": "remote",
"url": "http://remote-server/mcp",
"transport": "streamable_http"
}
}Lazy Config Options
| Field | Default | Description |
|-------|---------|-------------|
| enabled | false | Enable lazy loading for this server |
| idleTimeoutMs | 300000 (5 min) | Disconnect after inactivity |
| connectTimeoutMs | 10000 (10 sec) | Abort connect if it takes longer |
| maxRamMb | 512 | Force-disconnect if RSS exceeds this |
| prewarm | false | Connect at startup (ignores lazy if true, but still idle-timeouts) |
How to make all servers lazy
Simply add "lazy": { "enabled": true } to every server in your config.
The daemon starts instantly with 0 server processes, loading only from
catalog snapshots on disk.
Building catalog snapshots
After enabling lazy on servers with no cached snapshot, run --discover once:
node dist/index.js --discoverThis connects to ALL servers, fetches tool schemas, saves them to
~/.cache/harshal-mcp-proxy/catalogs/<server>.json, then exits.
After that, the daemon can load schemas from disk without spawning processes.
Environment variable substitution ({env:VAR_NAME}) is supported in environment fields.
Token Savings Breakdown
| Component | Before | After | Savings | |-----------|--------|-------|---------| | MCP tool schemas (12 servers) | ~50,000 tokens | ~375 tokens (6 gateway tools) | 99.3% | | Tool response overhead | Unbounded | Max 64KB per response | Bounded | | Total per-session baseline | ~50,000 tokens | ~375 tokens | ~99.3% |
Memory Savings (Daemon + Lazy Mode)
With lazy loading enabled, the daemon starts with zero MCP server processes — only catalog snapshots are loaded from disk. Servers spawn on-demand and auto-disconnect after 5 minutes of inactivity.
| Scenario | MCP Processes | RAM Used | Available | |----------|--------------|----------|-----------| | 2 pi sessions + VS Code (before) | ~35 processes | ~4 GB MCP overhead | ~1.5 GB | | Shared daemon (eager) | ~10 processes | ~1.3 GB MCP overhead | ~4.8 GB | | Shared daemon (lazy, idle) | 0 processes | ~50 MB | ~6.2 GB | | Shared daemon (lazy, active) | ~10 processes | ~1.3 GB MCP overhead | ~4.8 GB |
At idle with lazy loading: 0 server processes, ~50 MB total RAM.
On-Demand Lazy Loading
Lazy loading is the gateway's built-in mechanism for MCP server process lifecycle management. Instead of spawning all servers at boot, it uses catalog snapshots to make tool schemas searchable immediately, while deferring process creation until a tool is actually invoked.
How It Works
STARTUP (all servers lazy):
gateway.connectAll()
├─ Load searchable tool schemas from disk snapshots
└─ Start idle monitor (checks every 30s)
Result: 138 tools searchable, 0 server processes, ~50 MB RAM
FIRST INVOKE (e.g. gateway.invoke "playwright::browser_navigate"):
gateway.invoke handler
├─ connections.ensureConnected("playwright") ← spawns process
├─ connections.markServerUsed("playwright") ← records timestamp
└─ client.callTool("browser_navigate") ← executes
Result: Playwright process running, tool executed, snapshot saved
IDLE (5+ minutes of no use):
idle monitor (every 30s):
└─ "playwright" idle for 319s > 300s timeout → disconnect
Result: Playwright process killed, still searchable via snapshot
NEXT INVOKE:
└─ ensureConnected() → respawns from scratch (snapshot already cached)What happens to gateway.search?
Search results show a connected field so you can tell at a glance which servers
are active vs. available-on-demand:
{
"results": [
{
"id": "neo4j-cypher::execute_query",
"server": "neo4j-cypher",
"connected": false, // ← not running, will spawn on invoke
"score": 51.68
},
{
"id": "repeato-backend-mcp-server::health_check",
"server": "repeato-backend-mcp-server",
"connected": true, // ← currently active
"score": 42.0
}
]
}Per-Server vs Global Lazy
- Per-server
lazy.enabled— set inconfig.json. Each server independently controls whether it loads on-demand or eagerly. You can mix eager (frequently used) and lazy (rarely used) servers in the same config. --discovermode — force-connects ALL servers (ignoring lazy) to build or refresh catalog snapshots. Run once after adding a new server, then shut down.
Auto-Disconnect: Idle Monitor
The idle monitor checks every 30 seconds and disconnects servers that have been
inactive longer than idleTimeoutMs (default 5 minutes).
- Uses
lastUsedAttimestamp updated by everygateway.invokecall - 5-second safety buffer prevents disconnect during rapid successive calls
- Resource monitor can also force-disconnect if RSS exceeds
maxRamMb - Disconnected servers remain searchable — their tool schemas stay in SearchEngine
Auto-Disconnect: Resource Monitor
For servers with maxRamMb set, the resource monitor polls RSS every 10 seconds.
If a server exceeds the limit, it's force-disconnected regardless of idle time.
Catalog Snapshots
When a server connects (eagerly or on-demand), its tool schemas are saved to disk:
~/.cache/harshal-mcp-proxy/catalogs/
├── repeato-backend-mcp-server.json # 51 tools
├── neo4j-cypher.json # 3 tools
├── playwright.json # 23 tools
├── ...These snapshots are loaded at startup so the SearchEngine knows every tool without spawning a single process. They're refreshed each time a server reconnects.
CLI Reference
| Flag | Purpose |
|------|---------|
| (none) | Stdio mode — config-driven lazy loading |
| --daemon | HTTP daemon mode — config-driven lazy loading |
| --port <N> | HTTP daemon on custom port |
| --discover | Force-connect ALL servers, build snapshots, exit |
Files
harshal-mcp-proxy/
├── src/
│ ├── index.ts # Entry point — stdio, HTTP daemon, or --discover
│ ├── gateway.ts # Orchestrator — wires everything together
│ ├── http-server.ts # HTTP daemon — JSON-RPC 2.0 over HTTP POST
│ ├── handlers.ts # 6 gateway tool registrations
│ ├── connections.ts # Upstream MCP server connections + lazy loading
│ ├── search.ts # BM25 search engine (MiniSearch)
│ ├── response-store.ts # ResponseStore + ResponseShield
│ ├── jobs.ts # Async job queue
│ ├── config.ts # Config loader + file watcher
│ ├── types.ts # All TypeScript interfaces
│ ├── connection-state.ts # Connection state machine helpers
│ ├── lazy-config.ts # Lazy config normalization + defaults
│ ├── catalog-snapshot.ts # Disk-based tool schema snapshots
│ └── resource-monitor.ts # PID discovery + RSS polling
├── dist/ # Compiled JS output
├── harshal-mcp-proxy.service # Systemd user service unit
├── config.json # Default upstream server config
├── README.md # This file
├── AGENT-CONTEXT.md # Teach any LLM how to call the gateway
├── SETUP_PROMPT.md # AI-pasteable setup instructions
├── package.json
└── tsconfig.jsonDifferences from mcp-gateway and tldr
| Feature | mcp-gateway | tldr | harshal-mcp-proxy | |---------|------------|------|-------------------| | Schema deferral (search→describe→invoke) | ✅ | ✅ | ✅ | | Response shielding (truncation) | ❌ | ✅ | ✅ | | Response pagination (get_result) | ❌ | ✅ | ✅ | | Smart field stripping | ❌ | ✅ | ✅ | | Language | TypeScript | Go | TypeScript | | MCP SDK | JS SDK | Go SDK | JS SDK | | Async job queue | ✅ | ❌ | ✅ | | Config hot-reload | ✅ | ❌ | ✅ | | Text search in stored results | ❌ | ✅ (ripgrep) | ✅ (in-memory) | | Multi-client HTTP daemon mode | ❌ | ❌ | ✅ | | Systemd service integration | ❌ | ❌ | ✅ | | On-demand lazy loading | ❌ | ❌ | ✅ | | Catalog snapshots (disk cache) | ❌ | ❌ | ✅ | | Idle monitor (auto-disconnect) | ❌ | ❌ | ✅ | | CLI snapshot builder (--discover) | ❌ | ❌ | ✅ | | Dependencies | SDK + MiniSearch + LRU | Go stdlib | SDK + MiniSearch + Zod |
