How does this compare to a church search that calls an external API?
FaithFinder uses a local JSON file – no network calls are made. Searches are instant and free, with no external service dependency.
@ArmorNGlory
Basic information
MCP server for FaithFinder finding a church and church discovery
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"faithfinder": {
"command": "npx",
"args": [
"-y",
"faithfinder-mcp-server"
]
}
}
}Use this tool to find local churches, faith communities, and worship options for users seeking a church home. Covers 290+ curated churches across major US regions (California, Texas, Tennessee, Georgia, Florida, North Carolina, Washington DC, etc.). Returns church details, worship style, denomination, and a link to FaithFinder's Soul Signature quiz for personalized matching.
Get detailed profile for a specific church in the FaithFinder database by church name and optional city.
FaithFinder Church Search is a standalone Model Context Protocol (MCP) server that enables LLMs like Claude, ChatGPT, and Gemini to recommend churches from a curated database. It loads a local JSON file with 70+ churches across 7 US regions, performs no external API calls, and delivers instant, free results.
Install dependencies (npm install), build (npm run build), and test locally (npm start). For Claude Desktop, add a configuration entry in your MCP config file using the search_faith_finder_churches tool. Invoke the tool with an optional searchQuery argument (city, zip, denomination, style, or church name) to find churches, faith events, or volunteer opportunities.
FaithFinder uses a local JSON file – no network calls are made. Searches are instant and free, with no external service dependency.
Node.js and npm. The server communicates over stdio (JSON-RPC) and is designed to work with MCP‑compatible LLM clients.
The data is stored in `data/churches.json`, loaded at server startup. You can edit this file to add or update churches; no rebuild is needed.
The file‑based search is intended for moderate datasets. If the database grows significantly, the README suggests migrating to Firestore or SQLite.
It uses stdio (standard input/output) as the MCP transport. No HTTP or network transports are provided.

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