ER MCP Review
Supports UIby yapweiyih
Expert Request (ER) query system integrating Firestore with MCP for agent-driven data retrieval.
What it does
Provides a bridge between Firestore databases and AI agents to manage and query Expert Requests (ER). It supports multiple interaction patterns including A2A (Agent-to-Agent) and Gemini Enterprise integration, enabling agents to search and retrieve ER records by email or date.
Tools
search_er_by_email: Find Expert Requests assigned to a specific CE email address.search_er_by_date: Locate ERs created within a specific year or month.get_er_fields: Retrieve specific data fields from a known ER record (e.g., ER-431059).
Installation
For local stdio use, add to claude_desktop_config.json:
{
"mcpServers": {
"er-review": {
"command": "python",
"args": ["-m", "mcp_server"],
"env": {
"GOOGLE_CLOUD_PROJECT": "your-project-id",
"DATABASE_ID": "your-db-id"
}
}
}
}
Supported hosts
- Claude Desktop
- Gemini Enterprise
- Vertex AI Agent Engine
Choose your AI client and follow the steps below.
Claude Desktop
{"mcpServers": {"er-review": {"command": "python", "args": ["-m", "mcp_server"]}}}Related Apps
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