MCP server
Malinica Official
rs.malinica/classifieds
Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools
Search classified listings on Malinica, a Serbian free serbian classifieds marketplace.
Working at last checkVerified publisher: malinica.rsAbout 1,546 tokens per request once connected6 toolsDescription tries to instruct AI agents
https://api.malinica.rs/mcp
At a glance
- Type
- MCP server
- Publisher
- malinica.rs (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 1,546 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 28 Oct 2026, 09:03 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http classifieds https://api.malinica.rs/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.classifieds] url = "https://api.malinica.rs/mcp"
Gemini CLI
{"mcpServers":{"classifieds":{"httpUrl":"https://api.malinica.rs/mcp"}}}
Cursor
{"mcpServers":{"classifieds":{"url":"https://api.malinica.rs/mcp"}}}
VS Code
{"servers":{"classifieds":{"type":"http","url":"https://api.malinica.rs/mcp"}}}
Antigravity
agy mcp add classifieds https://api.malinica.rs/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"classifieds","server_url":"https://api.malinica.rs/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"classifieds","server_url":"https://api.malinica.rs/mcp"}
Tools
get_categories~139 tokens
List every active listing category as a flat catalog. Each entry has a numeric id, a dot-separated path encoding its place in the hierarchy (for example vozila.automobili is a child of vozila), and a human-readable title in Serbian. Call this first to translate what a user is looking for into a categet_category~229 tokens
Describe one category and the attributes listings in it can be filtered by. Each attribute has a name (the key to use when filtering), a label, and a type giving the JSON value a filter must supply: string, number, boolean or date (ISO 8601). An attribute may also carry options, which are the only aget_listing~219 tokens
Fetch one published listing by id, including its full description, price, location, category and stored attribute values. Attribute keys match the names reported by get_category for that listing's category, and attributes holds the raw stored values. Under the same key, attribute_labels gives that aget_picklist_values~202 tokens
List the accepted values for an attribute whose get_category entry carries a picklist_path. These value sets are hierarchical and too large to inline, so they are fetched one level at a time. A picklist_path may contain a placeholder in braces naming another attribute, as in 'vehicles.car.{make}'; rsearch_listings~544 tokens
Search published listings by free text, category and location. Every argument is optional but at least one must be given; supplying several narrows the result the way a user ticking filters would. category_id and location_id are hierarchical and match the whole subtree beneath them, so the categorysearch_locations~213 tokens
Find Serbian locations by name and return their numeric ids, which is how listings are filtered by place. Matching is fuzzy and tolerates missing diacritics. Results carry a level (COUNTRY, MUNICIPALITY, CITY, CITY_MUNICIPALITY, SETTLEMENT, NEIGHBOURHOOD) and a path showing where the place sits in t
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