Manage MCP servers for Claude Desktop on MacOS with easy setup and local data security
MCP Manager for Claude Desktop is a desktop application designed to manage Model Context Protocol (MCP) servers, enabling Claude Desktop to access private data, APIs, and other services. This server significantly enhances the capabilities of Claude by providing direct interaction with various tools and resources on your local machine. The MCP protocol allows AI applications like Claude Desktop, Continue, and Cursor to connect to specific data sources and tools through a standardized interface.
MCP Manager for Claude Desktop features an easy-to-use desktop interface, runs entirely locally, and supports quick setup of popular MCP servers. Here’s a deeper dive into its core capabilities:
The application streamlines the process of managing MCP servers with an intuitive UI. Users can easily configure and connect to multiple AI-compatible services without any complex manual steps.
All data interactions are executed locally, ensuring that your private information never leaves your computer. This feature is crucial for maintaining privacy and security while still benefiting from robust AI functionalities.
The tool supports the rapid integration of various MCP servers with just a few commands. For instance, integrating Apple Notes or GitHub can be done quickly by running predefined terminal commands provided in the app.
MCP Manager is built using an advanced architecture that fully implements the Model Context Protocol (MCP). This protocol enables seamless communication between AI applications and various backends, ensuring a consistent experience across different tools. The tech stack includes Electron 29.1.4 with React 18.3.1 for the desktop GUI, Vite 6.0.1 as the build tool, and TypeScript 5.6.2 for type safety.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph LR
A[Database] --> B[MCP Server]
B --> C[MCP Client]
C --> D[AI Application]
E[Auxiliary Tools] --> B
F[Metadata Extraction] --> B
style A fill:#e8f5e8
style B fill:#f3e5f5
style C fill:#e1f5fe
To get started, follow these steps:
bun install
bun electron:dev
rm -rf dist dist-electron # When rebuilding
bun electron:build # Creates .dmg installer
Additional commands to run code quality checks and linting:
bun check
bun lint
Imagine using Claude Desktop equipped with MCP Manager. You can easily access your Apple Notes, allowing you to search for specific notes, extract insights, or even generate summaries directly from your AI application.
Technical Implementation:
// Example code snippet to fetch notes data via MCP server
const { Client } = require('@modelcontextprotocol/client');
const client = new Client('your-mcp-server-token');
client.queryNotes({
search: 'project update'
}).then((notes) => {
console.log(notes);
});
Integrating MCP Manager with web APIs such as Exa or Brave Search allows you to perform searches with Claude Desktop directly from your browser. This integration enhances the AI's ability to provide relevant information quickly by leveraging real-time data.
Technical Implementation:
// Example code snippet to search using Exa
const { Client } = require('@modelcontextprotocol/client');
const client = new Client('your-mcp-server-token');
client.queryWeb({
query: 'best practices for AI development'
}).then((results) => {
console.log(results);
});
MCP Manager supports multiple AI clients, including:
Below is a compatibility matrix for different MCP servers:
| Tool | Apple Notes | AWS Knowledge Base | Brave Search | Browserbase | Cloudflare | Everart | Exa | Filesystem | GitHub | GitLab | Google Drive | Google Maps | Memory | Obsidian | Perplexity | PostgreSQL | Puppeteer | Sequential Thinking | Slack | SQLite | Todoist | YouTube Transcript | |-----------------|------------------|--------------------|----------------------|--------------|----------------|---------------|---------------|---------------|---------------|---------------|-----------------|-----------------|------------------|---------------|---------------|---------------|---------------|-------------------------------|-----------------|---------------|---------------| | Claude Desktop | ✅ | ✅ | ✅ | ✅ | ❌ | 💡 | 😎 | 🔞 | 🐘 | 😀 | 👨💻 | 🤯 | 📚 | ✋ | 💾️ | 🔗 | 🔒 | ⭐⭐⭐⭐⭐ | 🔜 | 🔐 | 🎷 | ☀ | | Continue | ✅ | ✅ | ✅ | ✅ | ❌ | 💡 | 😎 | 🔞 | 🐘 | 😀 | 👨💻 | 🤯 | 📚 | ✋ | 💾️ | 🔗 | 🔒 | ⭐⭐⭐⭐⭐ | 🔜 | 🔐 | 🎷 | ☀ | | Cursor | ❌ | ✅ | ✅ | ✅ | ❌ | ❤️ | 😎 | 🔞 | 🐘 | 😀 | 👨💻 | 🤯 | 📚 | ❤️ | 💾️ | 🔗 | 🔒 | ⭐⭐⭐⭐ | 🔜 | 🔐 | 🎷 | ☀ |
To configure MCP servers, you can utilize the server-configs.ts
file within the project. An example configuration might look like this:
{
"mcpServers": {
"notes-server": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-notes"],
"env": {
"API_KEY": "your-api-key"
}
},
"github-server": {
"command": "npm",
"args": ["i", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_TOKEN": "your-github-token"
}
}
}
}
How do I configure an MCP server? Configuration involves setting up the relevant environment variables and running specific commands to install or update the server.
Can I use this with different AI clients besides Claude Desktop? Yes, MCP Manager supports multiple AI clients like Continue and Cursor, but compatibility varies as indicated in the matrix above.
Is my data safe when using MCP servers? Data is processed locally to ensure privacy and security. The protocol is designed to minimize exposure of sensitive information.
How do I integrate a new tool with this server?
Add entries to server-configs.ts
and run the appropriate commands to set up the new tool as an MCP server.
What's the difference between a MCP client and a server? An MCP client is an AI application making requests, while a server handles those requests by interacting with specific tools or data sources.
Contributions to MCP Manager for Claude Desktop are welcome! If you wish to add new MCP servers or improve the codebase:
bun check
.This project is part of the broader MCP ecosystem, which includes various tools and services designed to enhance AI applications. For more information on Model Context Protocol (MCP) and its usage:
For further assistance or custom solutions, contact Zue.AI at: Contact us
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