TxtAI MCP Server

# Database Databases store metadata, text and binary content. ## content ```yaml content: boolean|sqlite|duckdb|client|url|custom ``` Enables content storage. When true, the default storage engine, `sqlite` will be used to save metadata. Client-server connections are supported with either `client` or a full connection URL. When set to `client`, the CLIENT_URL environment variable must be set to the full connection URL. See the [SQLAlchemy](https://docs.sqlalchemy.org/en/20/core/engines.html#database-urls) documentation for more information on how to construct connection strings for client-server databases. Add custom storage engines via setting this parameter to the fully resolvable class string. Content storage specific settings are set with a corresponding configuration object having the same name as the content storage engine (i.e. duckdb or sqlite). These are optional and set to defaults if omitted. ### client ```yaml schema: default database schema for the session - defaults to being determined by the database ``` Additional settings for client-server databases. Also supported when the `content=url`. ### sqlite ```yaml sqlite: wal: enable write-ahead logging - allows concurrent read/write operations, defaults to false ``` Additional settings for SQLite. ## objects ```yaml objects: boolean|image|pickle ``` Enables object storage. Supports storing binary content. Requires content storage to also be enabled. Object encoding options are: - `standard`: Default encoder when boolean set. Encodes and decodes objects as byte arrays. - `image`: Image encoder. Encodes and decodes objects as image objects. - `pickle`: Pickle encoder. Encodes and decodes objects with the pickle module. Supports arbitrary objects. ## functions ```yaml functions: list ``` List of functions with user-defined SQL functions, only used when [content](#content) is enabled. Each list element must be one of the following: - function - callable object - dict with fields for name, argcount and function [An example can be found here](../../query#custom-sql-functions). ## query ```yaml query: path: sets the path for the query model - this can be any model on the Hugging Face Model Hub or a local file path. prefix: text prefix to prepend to all inputs maxlength: maximum generated sequence length ``` Query translation model. Translates natural language queries to txtai compatible SQL statements.