MCP Ecosystem
A collection of Model Context Protocol (MCP) servers developed by Azzar, designed to enhance AI assistant capabilities across development, research, project management, and system operations.
What is MCP Ecosystem?
MCP Ecosystem is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to collection of model context protocol (mcp) servers developed by azzar, designed to enhance ai assistant capabilities across development, research, project management, and system operations.
A collection of Model Context Protocol (MCP) servers developed by Azzar, designed to enhance AI assistant capabilities across development, research, project management, and system operations.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A collection of Model Context Protocol (MCP) servers develop
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-ecosystemConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Ecosystem
MCP Ecosystem is a curated collection of four Model Context Protocol servers developed by SynkraAI, bundled together with preset configurations for Claude Code and Cursor. It gives developers instant access to context7 (library documentation), desktop-commander (file and terminal operations), playwright (browser automation), and exa (AI-powered web search) — all tuned with token-budget presets for development, research, and full-capacity workflows.
Prerequisites
- Node.js 18 or later installed
- Claude Code or Cursor IDE installed and configured
- EXA_API_KEY from exa.ai (required for the web search server)
- An MCP-compatible client such as Claude Desktop or Claude Code
Clone the MCP Ecosystem repository
Download the repository to a local directory so you can access its IDE configuration files and sample configs.
git clone https://github.com/SynkraAI/mcp-ecosystem.git
cd mcp-ecosystemCopy the sample configuration for Claude Code
The repository ships a ready-made claude_desktop_config.json. Copy it into your Claude Code config directory so all four servers are registered at once.
cat ide-configs/claude/sample-config.jsonSet your EXA_API_KEY environment variable
The exa MCP server requires an API key from exa.ai. Add it to your shell profile or directly in the config file.
export EXA_API_KEY=your_exa_api_key_hereAdd the bundled servers to your Claude Desktop config
Open your claude_desktop_config.json and register all four servers (context7, desktop-commander, playwright, exa) using the paths from the sample config.
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
},
"desktop-commander": {
"command": "npx",
"args": ["-y", "@wonderwhy-er/desktop-commander"]
},
"playwright": {
"command": "npx",
"args": ["-y", "@executeautomation/playwright-mcp-server"]
},
"exa": {
"command": "npx",
"args": ["-y", "exa-mcp-server"],
"env": {
"EXA_API_KEY": "your_exa_api_key_here"
}
}
}
}Select a token-budget preset
The ecosystem ships three preset token budgets. Choose development (~25-40k tokens), research (~40-60k tokens), or full (~60-80k tokens) to configure how much context each session can consume.
Restart your MCP client and verify servers are loaded
Restart Claude Desktop or Claude Code. Each of the four servers should appear as available tools in your session.
MCP Ecosystem Examples
Client configuration
Full claude_desktop_config.json with all four MCP Ecosystem servers registered and the EXA_API_KEY injected.
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
},
"desktop-commander": {
"command": "npx",
"args": ["-y", "@wonderwhy-er/desktop-commander"]
},
"playwright": {
"command": "npx",
"args": ["-y", "@executeautomation/playwright-mcp-server"]
},
"exa": {
"command": "npx",
"args": ["-y", "exa-mcp-server"],
"env": {
"EXA_API_KEY": "your_exa_api_key_here"
}
}
}
}Prompts to try
Example prompts that exercise each of the four bundled servers.
- "Search the web for the latest React 19 release notes and summarise the breaking changes"
- "Open the browser, navigate to localhost:3000, and take a screenshot of the homepage"
- "Show me the up-to-date API docs for the Next.js App Router"
- "List all files in my ~/projects directory and open the README in the terminal"Troubleshooting MCP Ecosystem
The exa server fails to start with 'invalid API key' error
Ensure EXA_API_KEY is set in the 'env' block of the exa entry in claude_desktop_config.json, not just in your shell profile — Claude Desktop does not inherit shell environment variables automatically.
Playwright server times out when opening a browser
Make sure a compatible Chromium/Chrome browser is installed on the system. Run 'npx playwright install chromium' to download the required browser binary.
Token limits are exceeded mid-session
Switch to the 'development' preset (25-40k tokens) for lightweight coding tasks or start a new session. Each preset caps total token usage to prevent runaway context consumption.
Frequently Asked Questions about MCP Ecosystem
What is MCP Ecosystem?
MCP Ecosystem is a Model Context Protocol (MCP) server that collection of model context protocol (mcp) servers developed by azzar, designed to enhance ai assistant capabilities across development, research, project management, and system operations. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Ecosystem?
Follow the installation instructions on the MCP Ecosystem GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Ecosystem?
MCP Ecosystem works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Ecosystem free to use?
Yes, MCP Ecosystem is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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