Integrations
Connect AgentRank to your AI coding assistant. One install — your agent queries 25,000+ live ranked tools instead of guessing from stale training data.
How it works
AgentRank publishes an MCP server (agentrank-mcp-server on npm) that gives any MCP-capable agent direct access to the live ranked index. Platforms that don't support MCP natively get an instruction file that teaches the AI to query the REST API instead. Either way, your agent stops guessing and starts looking things up.
Cursor
MCP nativeCursor supports MCP servers natively. Install once and Cursor will use AgentRank automatically when you ask for tool recommendations.
Option 1 — MCP server (recommended)
Add to ~/.cursor/mcp.json for global use, or .cursor/mcp.json in your project for project-scoped access.
mkdir -p .cursor && curl -o .cursor/mcp.json https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/cursor/mcp.json
Show config
{
"mcpServers": {
"agentrank": {
"command": "npx",
"args": ["-y", "agentrank-mcp-server"]
}
}
} Option 2 — Rules file
If you prefer cursor rules over MCP, copy .cursorrules to your project root or ~/.cursorrules for global use.
curl -o .cursorrules https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/cursor/.cursorrules
For the new .cursor/rules/ format (Cursor 0.43+):
mkdir -p .cursor/rules && curl -o .cursor/rules/agentrank.mdc https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/cursor/rules/agentrank.mdc
VS Code + Copilot
MCP nativeVS Code 1.99+ supports MCP servers in agent mode. Add AgentRank to your workspace and Copilot will query it automatically.
Option 1 — MCP server (recommended)
Add to .vscode/mcp.json in your project. VS Code picks this up automatically in agent mode.
mkdir -p .vscode && curl -o .vscode/mcp.json https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/vscode/mcp.json
Show config
{
"inputs": [],
"servers": {
"agentrank": {
"type": "stdio",
"command": "npx",
"args": ["-y", "agentrank-mcp-server"]
}
}
} Option 2 — Copilot instructions
Copy copilot-instructions.md to .github/ — Copilot reads this automatically for workspace-level context.
mkdir -p .github && curl -o .github/copilot-instructions.md https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/vscode/copilot-instructions.md
Cline
MCP nativeCline supports MCP servers. Add AgentRank via the Cline MCP settings in VS Code, or drop a rules file for instruction-based access.
Option 1 — MCP server (recommended)
Open Cline in VS Code, go to MCP Servers, click Configure MCP Servers, and add the following to cline_mcp_settings.json:
{
"mcpServers": {
"agentrank": {
"command": "npx",
"args": ["-y", "agentrank-mcp-server"],
"disabled": false,
"autoApprove": ["search", "lookup", "get_badge_url"]
}
}
} Option 2 — Rules file
Copy .clinerules to your project root or ~/.clinerules for global use.
curl -o .clinerules https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/cline/.clinerules
Claude Code
MCP nativeClaude Code has native MCP support. One command installs the server globally.
MCP server
claude mcp add agentrank -- npx -y agentrank-mcp-server
Or install the skill (includes both MCP and instructions):
npx skills add superlowburn/agentrank --skill skill/agentrank
Windsurf
Rules fileWindsurf uses .windsurfrules for AI instructions. Copy to your project root or global rules location.
Rules file
curl -o .windsurfrules https://raw.githubusercontent.com/superlowburn/agentrank/main/skill/agentrank/windsurf/.windsurfrules
For global use, add to ~/.codeium/windsurf/memories/global_rules.md.
Claude Desktop
MCP nativeAdd to your Claude Desktop config to use AgentRank in any Claude Desktop conversation.
MCP server
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"agentrank": {
"command": "npx",
"args": ["-y", "agentrank-mcp-server"]
}
}
} Restart Claude Desktop after saving.
Available tools
Once installed, your agent has access to three tools:
search Search 25,000+ MCP servers, agent tools, and skills by keyword. Returns scored results ranked by real GitHub signals.
e.g. "browser automation", "database", "slack"
lookup Check if a specific GitHub repository is in the index. Returns score, rank, and signal breakdown.
e.g. github.com/microsoft/playwright-mcp
get_badge_url Get an embeddable SVG badge showing a tool's AgentRank score. Paste into your README.
e.g. slug: "glama-playwright-mcp-server"