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Glama

Video RAG MCP Server

by FiloHany

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RAGIE_API_KEYYesYour Ragie API authentication key

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
ingest_data_tool
Loads data from a directory into the Ragie index. Wait until the data is fully ingested before continuing. Args: directory (str): The directory to load data from. Returns: str: A message indicating that the data was loaded successfully.
retrieve_data_tool
Retrieves data from the Ragie index based on the query. The data is returned as a list of dictionaries, each containing the following keys: - text: The text of the retrieved chunk - document_name: The name of the document the chunk belongs to - start_time: The start time of the chunk - end_time: The end time of the chunk Args: query (str): The query to retrieve data from the Ragie index. Returns: list[dict]: The retrieved data.
show_video_tool
Creates and saves a video chunk based on the document name, start time, and end time of the chunk. Returns a message indicating that the video chunk was created successfully. Args: document_name (str): The name of the document the chunk belongs to start_time (float): The start time of the chunk end_time (float): The end time of the chunk Returns: str: A message indicating that the video chunk was created successfully

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