{ "slug": "mongo-query", "name": "gizza-ai/mongo-query", "version": "0.1.0", "title": "MongoDB Query Runner for JSON — gizza.ai", "description": "Run a MongoDB find filter against a JSON array in your browser. Supports $gt, $in, $and, $elemMatch, dotted paths, projection, sort, skip and limit.", "tags": [ "mongodb query", "mongo query json", "mongodb find filter", "query json array", "json filter mongodb", "elemmatch", "mongodb query tester", "mongo query online" ], "category": "network", "urls": { "page": "https://gizza.ai/tools/mongo-query/", "markdown": "https://gizza.ai/tools/mongo-query/index.md", "descriptor": "https://gizza.ai/tools/mongo-query/tool.json", "deep_link_example": "https://gizza.ai/tools/mongo-query/?data=%5B%0A%20%20%7B%22name%22%3A%22Ada%22%2C%22age%22%3A36%2C%22team%22%3A%7B%22name%22%3A%22core%22%7D%2C%22tags%22%3A%5B%22math%22%2C%22code%22%5D%7D%2C%0A%20%20%7B%22name%22%3A%22Bo%22%2C%22age%22%3A24%2C%22team%22%3A%7B%22name%22%3A%22infra%22%7D%2C%22tags%22%3A%5B%22ops%22%5D%7D%2C%0A%20%20%7B%22name%22%3A%22Cy%22%2C%22age%22%3A41%2C%22team%22%3A%7B%22name%22%3A%22core%22%7D%2C%22tags%22%3A%5B%22code%22%2C%22ops%22%5D%7D%0A%5D&query=%7B%22age%22%3A%20%7B%22%24gt%22%3A%2030%7D%2C%20%22tags%22%3A%20%7B%22%24in%22%3A%20%5B%22code%22%5D%7D%7D&projection=name%2C%20age&sort=age%3Adesc%2C%20name&skip=0&limit=0&format=json&pretty=true" }, "cli": "gizza tool mongo-query '[\n {\"name\":\"Ada\",\"age\":36,\"team\":{\"name\":\"core\"},\"tags\":[\"math\",\"code\"]},\n {\"name\":\"Bo\",\"age\":24,\"team\":{\"name\":\"infra\"},\"tags\":[\"ops\"]},\n {\"name\":\"Cy\",\"age\":41,\"team\":{\"name\":\"core\"},\"tags\":[\"code\",\"ops\"]}\n]'", "tool": { "description": "Run a MongoDB find filter against a pasted JSON array of documents and return the matches. 'data' is a JSON array of objects (a single object or NDJSON is accepted too); 'query' is the Mongo filter, e.g. {\"age\":{\"$gt\":21},\"tags\":{\"$in\":[\"code\"]}}. Supports $eq $ne $gt $gte $lt $lte $in $nin $exists $type $regex/$options $mod $all $size $elemMatch $not $and $or $nor, dotted paths, and MongoDB's array semantics (a predicate on an array field matches when any element matches) and missing-field semantics ({f: null}, $ne, $nin and $not all match documents lacking the field). Relaxed shell syntax (unquoted keys, single quotes, comments, /regex/i literals, ObjectId()/ISODate() helpers) is accepted. 'projection' keeps or drops fields, 'sort'/'skip'/'limit' reproduce the cursor chain, 'format' is json (default), ndjson, csv or count, and 'pretty' indents the JSON. $where, $expr, $jsonSchema, $text, geospatial and bitwise operators are rejected with an explicit message; aggregation and update operators are out of scope.", "parameters": { "additionalProperties": false, "properties": { "data": { "description": "The documents to query: a JSON array of objects, e.g. [{\"name\":\"Ada\",\"age\":36},{\"name\":\"Bo\",\"age\":24}]. A single JSON object is treated as a one-document collection, and NDJSON / JSON Lines (one JSON value per line) is accepted too. Maximum 5000000 bytes and 50000 documents.", "type": "string" }, "format": { "default": "json", "description": "Output format. 'json' (default): a JSON array of the matching documents. 'ndjson': one compact JSON document per line. 'csv': RFC-4180 CSV whose columns are the first-seen union of the returned documents' top-level keys (nested values are written as JSON). 'count': just the number of matching documents.", "enum": [ "json", "ndjson", "csv", "count" ], "type": "string" }, "limit": { "default": 0, "description": "Maximum number of documents to return, like cursor.limit(); 0 (default) returns every match. The 'count' format always reports the FULL match count, ignoring skip and limit.", "minimum": 0, "type": "integer" }, "pretty": { "default": true, "description": "Indent the 'json' output for reading (default true). Turn it off for a single compact line. Ignored by the ndjson, csv and count formats.", "type": "boolean" }, "projection": { "default": "", "description": "Fields to keep or drop; blank returns whole documents. Mongo form: {\"name\":1,\"email\":1,\"_id\":0} to keep, {\"password\":0} to drop. Short form: 'name, email' to keep and '-password' to drop. Dotted paths (team.name) select nested fields. As in MongoDB, _id is kept by a keep-projection unless you set _id to 0, and mixing kept and dropped fields (other than _id) is an error.", "type": "string" }, "query": { "default": "{}", "description": "The MongoDB find filter, e.g. {\"age\":{\"$gt\":21},\"status\":\"active\"}; blank or {} matches every document. Supported operators: $eq $ne $gt $gte $lt $lte $in $nin $exists $type $regex/$options $mod $all $size $elemMatch $not $and $or $nor. Dotted paths (team.name) work and a predicate on an array field matches when ANY element matches. Relaxed shell syntax is accepted: unquoted keys, single quotes, // and /* */ comments, trailing commas, /pattern/flags regex literals and the ObjectId()/ISODate()/NumberLong() helpers. $where, $expr, $jsonSchema, $text, geospatial and bitwise operators are rejected with a message. Maximum 20000 bytes.", "type": "string" }, "skip": { "default": 0, "description": "Number of matching documents to skip before returning any, like cursor.skip(). Default 0. Combine with 'limit' to page through results.", "minimum": 0, "type": "integer" }, "sort": { "default": "", "description": "Sort order for the matched documents; blank keeps the input order. Mongo form: {\"age\":-1,\"name\":1} (1 ascending, -1 descending). Short form: 'age:desc, name' (a leading '-' also means descending). Values sort in MongoDB's cross-type order: missing/null first, then numbers, strings, objects, arrays, booleans.", "type": "string" } }, "required": [ "data" ], "type": "object" } } }