About market-fiyati
market-fiyati is an MCP server published by mehmetcanbozkus in the Developer Tools category: hackathon winner MCP server for marketfiyati.org.tr/.
The repository has 6 stars and 1 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/mehmetcanbozkus/market-fiyati-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository 13 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
Market Fiyatı MCP Server
An MCP server for marketfiyati.org.tr, a price comparison website for groceries in Turkey.
This server exposes the search functionality of the website as tools for MCP-compatible clients.
Features
- Search Products: Find products using keywords.
- Search by ID: Look up products by their unique ID or barcode.
- Find Similar Products: Discover products similar to a given item.
Prerequisites
- Python 3.12+
- uv (recommended for project and virtual environment management)
Installation
-
Clone the repository:
git clone https://github.com/mtcnbzks/market-fiyati-mcp-server.git cd market-fiyati-mcp-server -
Create a virtual environment and install dependencies:
uv venv uv sync
Usage
You can run this server and connect to it from any MCP-compatible client.
Running the Server
To start the server, run the following command in your terminal:
uv run python -m market_fiyati_mcp_server.server
The server will start and listen for connections from MCP clients.
Connecting from a Client
You can use the MCP development tools to inspect and interact with the server.
-
Install in an MCP Client (e.g., Claude Desktop): To make the server available in a client like the Claude Desktop App, you can install it using:
uv run mcp install src/market_fiyati_mcp_server/server.py -
Manual Configuration (e.g., VS Code): To add the server to a client that uses a
mcp.jsonconfiguration file (like VS Code), add the following to theserversobject in yourmcp.json.{ "servers": { "market-fiyati": { "command": "uvx", "args": ["market-fiyati-mcp-server"] } } }
Tools
This server provides the following tools:
search_product
Search for products matching given keywords.
- Parameters:
keywords(str): The search terms.latitude(float, optional): Latitude for location-based search.longitude(float, optional): Longitude for location-based search.distance(int, optional): Radius in km for location-based search.
- Returns: A human-readable summary and the full structured API response.
search_product_by_identity
Retrieve product information by a unique identity (e.g., barcode or internal ID).
- Parameters:
identity(str): The product's unique ID or barcode.identityType(str, optional): The type of identity (idorbarcode). Defaults toid.keywords(str, optional): Optional keywords to refine the search.latitude(float, optional): Latitude for location-based search.longitude(float, optional): Longitude for location-based search.distance(int, optional): Radius in km for location-based search.
- Returns: A summary of the found product and the full structured API response.
search_similar_products
Find products similar to a reference item ID.
- Parameters:
id(str): The ID of the reference product.keywords(str): Keywords to find similar products.latitude(float, optional): Latitude for location-based search.longitude(float, optional): Longitude for location-based search.distance(int, optional): Radius in km for location-based search.
- Returns: A summary of the most similar product and the full structured API response.
README fetched from the repository 13 hours ago. The original is authoritative.