Schema | turbocontext

turbocontext

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
index_workspaceB	`Recursively finds code files in directory_path and indexes them using Tree-sitter AST chunking, FastEmbed vector generation, and Turbovec storage. Skips unchanged files automatically unless force=True.`
search_codeA	`Embeds the search query using FastEmbed, retrieves candidate chunks from Turbovec vector index, reranks them using Cross-Encoder, and returns top_k matching code/memory chunks (default top_k=3).`
add_memoryC	Shortcut tool to store a plain-text memory or note into the index without needing a file path.
get_statusA	Returns real-time status and statistics about the Turbocontext vector store, database size, chunk counts, unique files, stored memories, and model metadata.
clear_workspaceC	`Purges all indexed code chunks, stored memories, and file hashes for workspace_id from storage.`

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/e-x-h-i-b-i-t/turbocontext'

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