MCPProxy

[MCPProxy — Supercharge AI Agents, Safely · One safe endpoint in front of every MCP server]

[MCPProxy web UI demo: server dashboard, tool discovery, activity log, and security quarantine]

📺 Watch the full walkthrough  ·  📚 Read the docs  ·  🌐 mcpproxy.app

The demo above shows the embedded web UI. The MCPProxy core is a single binary for macOS, Linux, and Windows — the web UI ships inside it, with no extra service to run. On macOS, an optional menu‑bar app adds one‑click convenience (start/stop, server health, quarantine, logs).

Why MCPProxy?

• Scale beyond API limits – Federate hundreds of MCP servers while bypassing Cursor's 40-tool limit and OpenAI's 128-function cap.
• Spend less context on tool definitions – Agents see a small set of MCPProxy discovery and execution tools (retrieve_tools, describe_tool, the call_tool_* variants and a few management tools) instead of the full upstream tool catalog, and fetch schemas on demand (in retrieve_tools and code_execution routing; direct routing exposes upstream tools individually, see Routing modes). How much context this saves depends on the number of tools, the routing mode, the client and the task; see Token savings: what is and is not measured.
• Review before use – New servers are quarantined and their tools are withheld from agents until you review and approve them, and, under the default manual trust mode, most later changes to an approved tool's definition are held for review again. Known exceptions: input-schema-only edits outside scan mode, a newly added output schema, and a description added to a tool that was approved with an empty description are admitted without a hold; scan mode admits clean changes and misses what its detectors miss; auto mode does not hold changes. This reduces exposure to malicious tool definitions (Tool Poisoning Attacks); it is not a guarantee of safety. See What quarantine does and does not cover.
• Pluggable security scanners – Run Snyk, Semgrep, Trivy, Cisco, and other Docker-based scanners against quarantined servers before you approve them; findings are normalized to SARIF with a composite risk score. See Security scanner plugins.
• Works offline & cross-platform – A single core binary for macOS (Intel & Apple Silicon), Windows (x64 & ARM64), and Linux (x64 & ARM64), with the web UI embedded. macOS additionally ships an optional menu-bar app.

Token savings: what is and is not measured

On-demand discovery reduces how many upstream tool definitions an agent loads into context up front. The saving is not a fixed percentage: it grows with the number of connected tools and depends on the routing mode, the client and the task. MCPProxy does not publish a headline token-reduction or accuracy-improvement figure, and it makes no latency claim.

What the repository does measure, as a first-party, deterministic estimate (see bench/README.md for the method and to reproduce it with go run ./bench/cmd/bench):

• Corpus: the frozen 45-tool reference corpus; counting tool name and description only (input schemas excluded), cl100k_base.
• Metric: size of the initial tool menu in tokens, including the proxy's own discovery, call and management tools. Not total workflow tokens, not latency, and not task success.
• Result: on that 45-tool corpus the proxy's initial menu is larger than listing every upstream tool (2625 tokens in retrieve_tools mode and 1874 in code_execution mode, against 1730 for the baseline), because the proxy's own tools have a fixed cost. A saving appears only above a break-even number of upstream tools, so quote the tool count with any percentage.

Quick Start

1. Install

macOS (Recommended - DMG Installer):

Download the latest DMG installer for your architecture:

• Apple Silicon (M1/M2): Download DMG → mcpproxy-*-darwin-arm64.dmg
• Intel Mac: Download DMG → mcpproxy-*-darwin-amd64.dmg

Windows (Recommended - Installer):

Download the latest Windows installer for your architecture:

• x64 (64-bit): Download Installer → mcpproxy-setup-*-amd64.exe
• ARM64: Download Installer → mcpproxy-setup-*-arm64.exe

The installer automatically:

• Installs both mcpproxy.exe (core server) and mcpproxy-tray.exe (system tray app) to Program Files
• Adds MCPProxy to your system PATH for command-line access
• Creates Start Menu shortcuts
• Supports silent installation: .\mcpproxy-setup.exe /VERYSILENT

Alternative install methods:

macOS (Homebrew):

# macOS — GUI tray app (recommended):brew install --cask smart-mcp-proxy/mcpproxy/mcpproxy
# macOS / Linux — headless CLI only:brew install smart-mcp-proxy/mcpproxy/mcpproxy

The cask installs the menu-bar app (bundles the CLI); the formula is the CLI binary only. Both update via brew upgrade.

Linux (Debian/Ubuntu) — apt repository, auto-updates via apt upgrade:

sudo install -m 0755 -d /etc/apt/keyringscurl -fsSL https://apt.mcpproxy.app/mcpproxy.gpg \  | sudo tee /etc/apt/keyrings/mcpproxy.gpg > /dev/nullecho "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/mcpproxy.gpg] https://apt.mcpproxy.app stable main" \  | sudo tee /etc/apt/sources.list.d/mcpproxy.list > /dev/nullsudo apt update && sudo apt install mcpproxy

Linux (Fedora / RHEL / Rocky / AlmaLinux) — dnf repository, auto-updates via dnf upgrade:

sudo dnf config-manager --add-repo https://rpm.mcpproxy.app/mcpproxy.repo# Fedora 41+ (dnf5): sudo curl -fsSL https://rpm.mcpproxy.app/mcpproxy.repo -o /etc/yum.repos.d/mcpproxy.reposudo dnf install -y mcpproxy

Arch Linux (AUR): mcpproxy-bin

yay -S mcpproxy-bin# orgit clone https://aur.archlinux.org/mcpproxy-bin.git && cd mcpproxy-bin && makepkg -si

The apt and dnf packages ship a hardened systemd unit and start the service automatically. Repository signing key fingerprint: 3B6F A1AD 5D53 59DA 51F1 8DDC E1B5 9B9B A1CB 8A3B.

For one-off .deb / .rpm downloads (air-gapped installs), grab them from the latest release.

Manual download (all platforms):

• Linux tarball: AMD64 | ARM64
• Windows: AMD64 | ARM64

Prerelease Builds (Latest Features):

Want to try the newest features? Download prerelease builds from the next branch:

1. Go to GitHub Actions
2. Click the latest successful "Prerelease" workflow run
3. Download from Artifacts:
   • dmg-darwin-arm64 (Apple Silicon Macs)
   • dmg-darwin-amd64 (Intel Macs)
   • versioned-linux-amd64, versioned-windows-amd64 (other platforms)

Note: Prerelease builds are signed and notarized for macOS but contain cutting-edge features that may be unstable.

• macOS: Intel | Apple Silicon

Anywhere with Go 1.26+:

go install github.com/smart-mcp-proxy/mcpproxy-go/cmd/mcpproxy@latest

2. Run

mcpproxy serve          # starts HTTP server on :8080 and shows tray

3. Add your first server and approve it

New servers are held in quarantine until you review them, so adding a server is a two-step journey: add, then review and approve. The full walkthrough, with a real remote server (Context7), is the published Quick Start. In short (Context7 is a public, read-only documentation server; substitute any server you trust):

# 1. add (held in quarantine until approved)mcpproxy upstream add context7 https://mcp.context7.com/mcp
# 2. review: capture the tool definitions, run the offline scan, read the verdictmcpproxy review fetch context7mcpproxy security rescan context7mcpproxy review show context7
# 3. approve (with no --tools/--all, only read-only tools with a clean scan are allowed)mcpproxy review approve context7 --yes
# 4. one harmless read, then see it in the activity logmcpproxy call tool-read -t context7:resolve-library-id -j '{"libraryName":"vue-router","query":"routing"}'mcpproxy activity list --limit 3

A clean scan is not proof that a server is safe; it only means the offline checks found nothing in the tool definitions. Review what you approve.

You can also edit ~/.mcpproxy/mcp_config.json by hand; a first-seen entry is held for review in the same way:

{  "listen": "127.0.0.1:8080",  "mcpServers": [    { "name": "local-python", "command": "python", "args": ["-m", "my_server"], "protocol": "stdio", "enabled": true },    { "name": "remote-http", "url": "http://localhost:3001", "protocol": "http", "enabled": true }  ]}

See Configuration and Upstream Servers for the full reference, and Security Quarantine for what the review gate does and does not cover.

4. Connect to your IDE/AI tool

📖 Complete Setup Guide - Detailed instructions for Cursor, VS Code, Claude Desktop, and Goose

Add proxy to Cursor

One-click install into Cursor IDE

[Install in Cursor IDE]

Manual install

1. Open Cursor Settings
2. Click "Tools & Integrations"
3. Add MCP server

    "MCPProxy": {      "type": "http",      "url": "http://localhost:8080/mcp/"    }

How AI Agents Work Through MCPProxy

Once connected, your agent sees a handful of built-in MCPProxy tools instead of hundreds of upstream schemas. A typical session has three beats — discover, call, audit — plus an optional preflight gate for unattended automations.

1. Discover — spend one query, not your context window

The agent asks for what it needs in plain keywords via retrieve_tools:

{ "query": "create github issue", "limit": 5 }

MCPProxy runs a BM25 search across every connected server and returns only the top-ranked matches — each with a call_with hint recommending the right call variant for its annotations:

{  "tools": [    { "name": "github:create_issue", "score": 0.89, "call_with": "call_tool_write" },    { "name": "gitlab:create_issue", "score": 0.72, "call_with": "call_tool_write" }  ]}

This is where the token savings come from: the schemas of the hundreds of tools the agent didn't need never enter its context. The agent loads full schemas on demand with describe_tool (batch up to 5 ids) only for the tools it's about to use.

2. Call — with declared intent

The agent executes the tool through the variant matching its intent (call_tool_read, call_tool_write, or call_tool_destructive), addressing it as server:tool:

{  "name": "github:create_issue",  "args": { "repo": "acme/api", "title": "Bug report" },  "intent_reason": "Filing bug per user request"}

MCPProxy validates the intent against the tool's annotations (a "read" call can't reach a destructive tool) and checks quarantine and approval state before the call is forwarded. Sensitive-data detection flags potential secrets in arguments and responses in the activity log; it does not block the call by default. Optional output sanitisation can redact detected secrets or block critical detections in supported text responses before they are forwarded. It does not cover tool arguments, non-text content, direct routing mode, or upstream error responses.

3. Audit — every call is on the record

Calls are recorded in the local Activity Log with a request ID, so you can inspect what an agent did. The log is bounded by configurable retention (age, record count and size) and a per-record response size cap, so it is an inspection and debugging aid, not a compliance guarantee:

mcpproxy activity list                          # everything, newest firstmcpproxy activity list --request-id <id>        # one workflow, correlated

Gate automations before they burn tokens

For recurring headless jobs (cron, CI, n8n), don't let the agent discover a missing tool the expensive way. One preflight command checks that every required tool is ready — without contacting any upstream server — and reports exactly why when it isn't (server quarantined, tool changed since approval, OAuth expired, typo'd id):

mcpproxy tools preflight gh-ops:sync_issues slack:post_message --wait 10scase $? in  0)  run-agent-session ;;   # all ready — go  10) exit 75 ;;             # transient (server starting) — let the next cron tick retry  11) page-operator ;;       # blocked — someone must approve / enable / log in  12) fail-pipeline ;;       # unknown tool id — the automation itself is misconfiguredesac

See Required-Tools Preflight for the full reason taxonomy, REST endpoint, and GitHub Actions / n8n recipes.

🔐 Optional HTTPS Setup

MCPProxy works with HTTP by default for easy setup. HTTPS is optional and primarily useful for production environments or when stricter security is required.

💡 Note: Most users can stick with HTTP (the default) as it works perfectly with all supported clients including Claude Desktop, Cursor, and VS Code.

Quick HTTPS Setup

1. Enable HTTPS (choose one method):

# Method 1: Environment variableexport MCPPROXY_TLS_ENABLED=truemcpproxy serve
# Method 2: Config file# Edit ~/.mcpproxy/mcp_config.json and set "tls.enabled": true

2. Trust the certificate (one-time setup):

mcpproxy trust-cert

3. Use HTTPS URLs:

• MCP endpoint: https://localhost:8080/mcp
• Web UI: https://localhost:8080/ui/

Claude Desktop Integration

For Claude Desktop, add this to your claude_desktop_config.json:

HTTP (Default - Recommended):

{  "mcpServers": {    "mcpproxy": {      "command": "npx",      "args": [        "-y",        "mcp-remote",        "http://localhost:8080/mcp"      ]    }  }}

HTTPS (With Certificate Trust):

{  "mcpServers": {    "mcpproxy": {      "command": "npx",      "args": [        "-y",        "mcp-remote",        "https://localhost:8080/mcp"      ],      "env": {        "NODE_EXTRA_CA_CERTS": "~/.mcpproxy/certs/ca.pem"      }    }  }}

Certificate Management

• Automatic generation: Certificates created on first HTTPS startup
• Multi-domain support: Works with localhost, 127.0.0.1, ::1
• Trust installation: Use mcpproxy trust-cert to add to system keychain
• Certificate location: ~/.mcpproxy/certs/ (ca.pem, server.pem, server-key.pem)

Troubleshooting HTTPS

Certificate trust issues:

# Re-trust certificatemcpproxy trust-cert --force
# Check certificate locationls ~/.mcpproxy/certs/
# Test HTTPS connectioncurl -k https://localhost:8080/api/v1/status

Claude Desktop connection issues:

• Ensure NODE_EXTRA_CA_CERTS points to the correct ca.pem file
• Restart Claude Desktop after config changes
• Verify HTTPS is enabled: mcpproxy serve --log-level=debug

Documentation

Getting Started

• Installation
• Quick Start

Configuration

• Config File Reference
• Upstream Servers
• Environment Variables

Features

• Search & Tool Discovery
• Security Quarantine
• Security Scanner Plugins
• Docker Security Isolation
• Secrets & Keyring Integration
• OAuth Authentication
• Code Execution
• Activity Log
• Required-Tools Preflight
• Agent Tokens
• Sensitive Data Detection

CLI Reference

• Command Reference
• Management Commands
• Activity Commands
• Security Commands

API

• REST API
• MCP Protocol

Contributing

We welcome issues, feature ideas, and PRs!

Development Setup

make dev-setup                # Install swag, frontend deps, Playwrightbrew install prek             # Install pre-commit hook runner (or: uv tool install prek)prek install                  # Install pre-commit hooksprek install --hook-type pre-push  # Install pre-push hooks

Pre-commit Hooks

We use prek to catch issues before they reach CI:

Run hooks manually: prek run --all-files

Build & Test

make build          # Build frontend + backendmake swagger        # Regenerate OpenAPI specmake test           # Unit testsmake test-e2e       # E2E testsmake lint           # Run linters