MCPMate

MCPMate is a comprehensive Model Context Protocol (MCP) management center designed to address configuration complexity, resource consumption, security risks, and other issues in the MCP ecosystem, providing users with a unified management platform.

MCPMate

中文 | English

MCPMate dashboard (light)

One local proxy that connects MCP servers and AI clients.

Configuring the same MCP servers across multiple clients is repetitive, token-costly, and hard to observe. MCPMate proxies MCP servers, syncs client configs, trims capabilities by profile, and logs activity.

This is not a brand-new project. I started shaping MCPMate around May 2024, paused active development around October, and recently came back to it with a clearer conviction: as the hype around skills- and CLI-shaped workflows settles into a more reflective phase, the long-term, irreplaceable value of MCP becomes easier to see.

MCPMate was previously developed in private and is now being reopened in public. The direction I care about most at this stage is usability: building on MCPMate’s earlier profile-based approach for removing redundant capabilities in specific scenarios, and continuing to extend its hosted mode toward a more progressively disclosed Unify mode (last year I referred to it as a more “aggressive hosted” mode, though the name itself felt somewhat awkward). One goal is to bring some of the lower-friction and lower first-token-cost qualities that people appreciated in skills- and CLI-shaped experiences into MCP itself.

Table of Contents

Why MCPMate?

Managing MCP servers across multiple AI tools (Claude Desktop, Cursor, Zed, Codex, and user-defined clients) brings significant challenges:

  • Complex, repetitive configuration — The same MCP server needs to be configured repeatedly in each client
  • High context-switching cost — Different work scenarios require frequent MCP configuration changes
  • Resource overhead — Running multiple MCP servers simultaneously consumes system resources
  • Security blind spots — Configuration errors or security risks are hard to detect
  • Fragmented management — No single place to manage all MCP services

MCPMate solves these problems by running a local proxy, generating consistent client configs, trimming tools per profile, and keeping structured Logs.

Core Components

Proxy

A high-performance MCP proxy server that:

  • Connects to multiple MCP servers and aggregates their tools
  • Provides a unified interface for AI clients
  • Implements stdio and Streamable HTTP transport protocols (aligned with MCP 2025-06-18 specification)
  • Accepts legacy SSE-configured servers and automatically normalizes them to Streamable HTTP for backward compatibility
  • Supports upstream OAuth 2.1 flows for Streamable HTTP MCP servers, including metadata discovery and callback handling
  • Monitors and logs MCP communication in real time
  • Detects potential security risks (e.g., tool poisoning)
  • Intelligently manages server resources
  • Provides REST APIs for configuration and monitoring

Bridge

A lightweight bridging component that connects stdio-mode MCP clients (like Claude Desktop) to the HTTP-mode MCPMate proxy:

  • Converts stdio protocol to HTTP transport without modifying the client
  • Automatically inherits all functions and tools from the HTTP service
  • Minimal configuration — only requires service address

Runtime Manager

An intelligent runtime environment management tool:

  • Smart Download — 15-second timeout with automatic network diagnostics
  • Progress Tracking — Real-time progress bars with download speed
  • Multi-Runtime Support — Node.js, uv (Python), and Bun.js
  • Environment Integration — Automatic environment variable configuration
# Install Node.js for JavaScript MCP servers
runtime install node

# Install uv for Python MCP servers
runtime install uv

# List installed runtimes
runtime list

Desktop App

Cross-platform desktop application built with Tauri 2:

  • Complete graphical interface for managing MCP servers, profiles, and tools
  • Real-time monitoring and status display
  • Intelligent client detection and configuration generation
  • System tray integration with native notifications
  • macOS is available now; Windows and Linux builds are planned

Logs

Structured operational log for MCP proxy activity:

  • Collects MCP operations and management-side changes into a structured timeline
  • Supports cursor-based pagination for high-volume environments
  • Exposes REST APIs for querying and reviewing log records
  • Provides a dedicated Logs page in the dashboard UI

Screenshots

Dashboard Overview

Light and dark themes use the same layout; status cards and the metrics chart adapt to the selected appearance.

LightDark
Dashboard lightDashboard dark

Server Management

Servers

Server Details — Tools

Browse all tools exposed by an MCP server with descriptions.

Server Tools

Server Details — Resources

View resources provided by MCP servers.

Server Resources

Profile Overview

Each profile aggregates servers, tools, resources, and prompts for a specific use case.

Profile Overview

Profile — Tool Configuration

Enable or disable individual tools within a profile.

Profile Tools

Client Configuration

Configure management mode and capability source for each AI client.

Client Configuration

  • All Proxy keeps every enabled server behind the builtin UCAN tool flow.
  • Server Direct lets selected direct-eligible servers expose their full capabilities to the client in Unify mode.
  • Capability-Level Direct opens a client-scoped direct editor so selected tools can be exposed without switching the sidebar into the Profiles section.
  • All three paths share the same governance and verified-target checks before MCPMate writes client configuration.

Market

Browse the official MCP registry and install servers without leaving the app.

  • Canonical linkage key: registry_server_id (official server.name)
  • official.serverId is treated as an alias only when equivalent to server.name
  • Repository Entry ID is preserved as metadata only
  • Upstream OAuth-capable servers can be connected directly from the install wizard with callback-based authorization
  • See docs: Market registry linkage keys

Market

Tool Inspector

Run quick tool calls against a connected server and inspect structured responses from the console.

Tool Inspector

Quick Start

Prerequisites

  • Rust toolchain (1.75+)
  • Node.js 18+ or Bun
  • SQLite 3

Installation

# Clone the repository
git clone https://github.com/loocor/MCPMate.git
cd MCPMate

# Build the backend
cd backend
cargo build --release

# Run the proxy
cargo run --release

The proxy starts with:

  • REST API on http://localhost:8080
  • MCP endpoint on http://localhost:8000

Using the Dashboard

# From the repository root
cd board
bun install
bun run dev

The dashboard will be available at http://localhost:5173.

Deployment Modes

MCPMate supports both integrated and separated operation modes:

  • Integrated mode (desktop) — Tauri bundles backend + dashboard for local all-in-one operation
  • Separated mode (core server + UI) — run backend independently and connect either the web dashboard or desktop shell to that core service
  • Client mode flexibility — managed clients can continue using hosted/transparent workflows while the control plane runs remotely

Architecture

MCPMate/
├── backend/           # Rust MCP gateway, management API, bridge binary
├── board/             # React + Vite management dashboard
├── website/           # Marketing site and documentation
├── desktop/           # Tauri 2 desktop application
├── extension/cherry/  # Cherry Studio configuration integration
└── docs/              # Product documentation

Each subproject maintains its own build system and dependencies. See individual READMEs for details:

  • Backend — Architecture, API, and development guide
  • Board — Dashboard features and UI development
  • Desktop — Desktop app build and configuration
  • Extension/Cherry — Cherry Studio integration

Key Features

Profile-Based Configuration

Organize MCP servers into profiles for different scenarios:

  • Development — Tools for coding, debugging, and testing
  • Writing — Tools for content creation and research
  • Analysis — Tools for data analysis and visualization

Switch between profiles instantly without restarting services.

Multi-Client Support

MCPMate detects, configures, and extends multiple AI clients:

  • Claude Desktop
  • Cursor
  • Zed
  • Codex
  • User-defined clients

Dynamic Client Governance

  • Client governance now lives in MCPMate's database instead of being frozen in static template files.
  • New and observed clients can be promoted into actively managed records without reworking compatibility templates.
  • Allow / Deny governance acts as a dedicated safety line: you can keep editing rollout expectations while still preventing a client from entering the allowed capability circle.
  • Writing to a client's own MCP configuration now requires a verified local config target. Saving governance state alone never creates or infers that target.
  • Governance fallback flows reject or defer unsafe writes so partial configuration updates do not leave clients in an inconsistent state.

Browser Extension Import

  • Chrome/Edge extension detects MCP config snippets containing mcpServers and hands them to MCPMate desktop via mcpmate://import/server.
  • Includes the source page URL along with the snippet text for import traceability.

Security

  • Real-time MCP communication monitoring
  • Tool poisoning detection
  • Sensitive data detection (experimental)
  • Security alerts and operational logs

Logs

  • Dedicated Logs page for filtering and reviewing historical actions
  • Event stream includes actor, target, action type, and timestamp metadata
  • Cursor pagination support for large datasets and incremental loading

Development

# Run all checks
./scripts/check

# Start backend + board together
./scripts/dev-all

See AGENTS.md for development guidelines, coding standards, and contribution workflow.

Roadmap

  1. Profile-based capability trimming: reduce token usage per conversation
  2. Continue refining Unify mode: progressive disclosure for lower first-token-cost MCP workflows
  3. Operational logging and monitoring improvements
  4. Smart switching: context-based automatic profile switching
  5. Team collaboration: configuration sharing (when validated by user demand)

Contributing

Contributions are welcome! Please:

  1. Read AGENTS.md for development guidelines
  2. Open an issue to discuss significant changes
  3. Submit pull requests against the main branch

License

GNU Affero General Public License v3.0 (AGPL-3.0) — see LICENSE for details.


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