Activeagentbodegastore/agentbodega
AgentBodega MCP discovery package and public registry metadata
Quick Answer
- 1. agentbodegastore/agentbodega gives AI agents data & analytics capabilities with 1 GitHub stars and a quality score of 56/99.
- 2. Install: Run
npx -y agentbodegaor add the config to your MCP client. - 3. Runtime: npm — no authentication required.
- 4. Health: Actively maintained — last checked 7/25/2026.
Overview
Category: Data & Analytics
Runtime: npm
Install: npx -y agentbodega
Auth: No auth required
Source: community
Stars: 1
Setup time: ~30 sec
What You Can Build
With the agentbodegastore/agentbodega MCP server, your AI assistant can:
- Access data & analytics functionality through natural language
- Use the server immediately with no API key setup
- Combine with other MCP servers for cross-tool automation workflows
- Run with npm for reliable, consistent deployments
Health Status
ActiveLast commit: 7/19/2026
Checked: 7/25/2026
Page updated: June 13, 2026
One-Click Install
Copy the snippet for your MCP client and paste it in.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"agentbodega": {
"command": "npx",
"args": [
"-y",
"agentbodega"
],
"env": {}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"agentbodega": {
"command": "npx -y agentbodega"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"agentbodega": {
"command": "npx -y agentbodega"
}
}
}MCP Server Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"agentbodega": {
"command": "npx",
"args": ["-y","agentbodega"],
"env": {}
}
}
}Quality Score
Automated quality ranking of maintaining source repository.
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