Firebase MCP vs Chroma MCP

chroma_create_collection

Create a new Chroma collection with configurable HNSW parameters. Args: collection_name: Name of the collection to create embedding_function_name: Name of the embedding function to use. Options: 'default', 'cohere', 'openai', 'jina', 'voyageai', 'ollama', 'roboflow' metadata: Optional metadata dict to add to the collection

chroma_peek_collection

Peek at documents in a Chroma collection. Args: collection_name: Name of the collection to peek into limit: Number of documents to peek at

chroma_get_collection_info

Get information about a Chroma collection. Args: collection_name: Name of the collection to get info about

chroma_get_collection_count

Get the number of documents in a Chroma collection. Args: collection_name: Name of the collection to count

chroma_modify_collection

Modify a Chroma collection's name or metadata. Args: collection_name: Name of the collection to modify new_name: Optional new name for the collection new_metadata: Optional new metadata for the collection

chroma_fork_collection

Fork a Chroma collection. Args: collection_name: Name of the collection to fork new_collection_name: Name of the new collection to create metadata: Optional metadata dict to add to the new collection

chroma_delete_collection

Delete a Chroma collection. Args: collection_name: Name of the collection to delete

chroma_add_documents

Add documents to a Chroma collection. Args: collection_name: Name of the collection to add documents to documents: List of text documents to add ids: List of IDs for the documents (required) metadatas: Optional list of metadata dictionaries for each document

chroma_query_documents

Query documents from a Chroma collection with advanced filtering. Args: collection_name: Name of the collection to query query_texts: List of query texts to search for n_results: Number of results to return per query where: Optional metadata filters using Chroma's query operators Examples: - Simple equality: {"metadata_field": "value"} - Comparison: {"metadata_field": {"$gt": 5}} - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]} - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]} where_document: Optional document content filters Examples: - Contains: {"$contains": "value"} - Not contains: {"$not_contains": "value"} - Regex: {"$regex": "[a-z]+"} - Not regex: {"$not_regex": "[a-z]+"} - Logical AND: {"$and": [{"$contains": "value1"}, {"$not_regex": "[a-z]+"}]} - Logical OR: {"$or": [{"$regex": "[a-z]+"}, {"$not_contains": "value2"}]} include: List of what to include in response. By default, this will include documents, metadatas, and distances.

chroma_get_documents

Get documents from a Chroma collection with optional filtering. Args: collection_name: Name of the collection to get documents from ids: Optional list of document IDs to retrieve where: Optional metadata filters using Chroma's query operators Examples: - Simple equality: {"metadata_field": "value"} - Comparison: {"metadata_field": {"$gt": 5}} - Logical AND: {"$and": [{"field1": {"$eq": "value1"}}, {"field2": {"$gt": 5}}]} - Logical OR: {"$or": [{"field1": {"$eq": "value1"}}, {"field1": {"$eq": "value2"}}]} where_document: Optional document content filters Examples: - Contains: {"$contains": "value"} - Not contains: {"$not_contains": "value"} - Regex: {"$regex": "[a-z]+"} - Not regex: {"$not_regex": "[a-z]+"} - Logical AND: {"$and": [{"$contains": "value1"}, {"$not_regex": "[a-z]+"}]} - Logical OR: {"$or": [{"$regex": "[a-z]+"}, {"$not_contains": "value2"}]} include: List of what to include in response. By default, this will include documents, and metadatas. limit: Optional maximum number of documents to return offset: Optional number of documents to skip before returning results Returns: Dictionary containing the matching documents, their IDs, and requested includes

chroma_update_documents

Update documents in a Chroma collection. Args: collection_name: Name of the collection to update documents in ids: List of document IDs to update (required) embeddings: Optional list of new embeddings for the documents. Must match length of ids if provided. metadatas: Optional list of new metadata dictionaries for the documents. Must match length of ids if provided. documents: Optional list of new text documents. Must match length of ids if provided. Returns: A confirmation message indicating the number of documents updated. Raises: ValueError: If 'ids' is empty or if none of 'embeddings', 'metadatas', or 'documents' are provided, or if the length of provided update lists does not match the length of 'ids'. Exception: If the collection does not exist or if the update operation fails.