Data Collection
malinica.rs
Fetches and filters classified listings and metadata from a Serbian marketplace.
ENDPOINT 1
https://api.malinica.rs/mcp
MCP server metadata
- Name
- malinica
- Version
- 0.1.0
Known tools 6
get_categoryDescribe one category and the attributes listings in it can be filtered by.
Inferred read-onlyget_listingFetch one published listing by id, including its full description, price, location, category and stored attribute values.
Inferred read-onlysearch_locationsFind Serbian locations by name and return their numeric ids, which is how listings are filtered by place.
Inferred read-onlyget_picklist_valuesList the accepted values for an attribute whose get_category entry carries a picklist_path.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.malinica]
url = "https://api.malinica.rs/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"malinica": {
"type": "http",
"url": "https://api.malinica.rs/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: malinica
Remote MCP URL: https://api.malinica.rs/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"malinica": {
"url": "https://api.malinica.rs/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"malinica": {
"type": "http",
"url": "https://api.malinica.rs/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "malinica",
"transport": "streamable-http",
"url": "https://api.malinica.rs/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.