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Fiscai Search MCP
by jpaboytes
Semantic document search server using Google Gemini and Supabase for high-accuracy information retrieval.
0 stars
Works in:claude
Exposes:Tools
What it does
Connects an AI agent to a Supabase vector database to perform semantic search over a custom set of documents. It leverages Google Gemini embeddings to find the most relevant information based on conceptual meaning rather than just keyword matching.
Tools
search_documents: Performs a semantic search query against the database with adjustable similarity thresholds and result limits.generate_embedding: Creates a vector embedding for a given piece of text using Gemini models.
Installation
{
"mcpServers": {
"fiscai-search": {
"command": "python",
"args": ["-m", "src.main"],
"env": {
"SUPABASE_URL": "your-url",
"SUPABASE_SERVICE_ROLE_KEY": "your-key",
"GEMINI_API_KEY": "your-key"
}
}
}
}
Supported hosts
- Claude Desktop
Quick install
pip install fastmcpInformation
- Pricing
- free
- Published
- 6/14/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Claude Desktop
Add to claude_desktop_config.json: { "mcpServers": { "fiscai-search": { "command": "python", "args": ["-m", "src.main"], "env": { ... } } } }





