Schema | vector-mcp

vector-mcp

Describes the environment variables required to run the server.

Name	Required	Description
`CHUNK_SIZE`	Yes	The chunk size for document processing.
`VECTOR_URL`	Yes	The URL of the vector database.
`VECTOR_API_KEY`	Yes	The API key for the vector database.
`EMBEDDING_MODEL_ID`	Yes	The embedding model ID.

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
vector_collection_management	Manage collection management operations. Actions: 'create_collection': Creates a new collection or retrieves an existing one in the vector database. 'add_documents': Adds documents to an existing collection in the vector database. 'delete_collection': Deletes a collection from the vector database. 'list_collections': Lists all collections in the vector database.
vector_search	Manage search operations. Actions: 'semantic_search': Retrieves and gathers related knowledge from the vector database instance using the question variable. 'lexical_search': This is a lexical or term based search that retrieves and gathers related knowledge from the database instance using the question variable via BM25. 'search': Performs a hybrid search combining semantic (vector) and lexical (BM25) methods.

Name

Description

Manage collection management operations.

Actions:

'create_collection': Creates a new collection or retrieves an existing one in the vector database.
'add_documents': Adds documents to an existing collection in the vector database.
'delete_collection': Deletes a collection from the vector database.
'list_collections': Lists all collections in the vector database.

Manage search operations.

Actions:

'semantic_search': Retrieves and gathers related knowledge from the vector database instance using the question variable.
'lexical_search': This is a lexical or term based search that retrieves and gathers related knowledge from the database instance using the question variable via BM25.
'search': Performs a hybrid search combining semantic (vector) and lexical (BM25) methods.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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