mcp-google-sheets

{ "1": "1", "2": "2", "3": "3", "4": "4", "Straico": "Straico", "All-in-one generative AI platform": "All-in-one generative AI platform", "\nFollow these instructions to get your Straico API Key:\n\n1. Visit the following website: https://platform.straico.com/user-settings.\n2. Once on the website, locate \"Connect with Straico API\" and click on the copy API Key.\n": "\nFollow these instructions to get your Straico API Key:\n\n1. Visit the following website: https://platform.straico.com/user-settings.\n2. Once on the website, locate \"Connect with Straico API\" and click on the copy API Key.\n", "Ask AI": "Ask AI", "Image Generation": "Image Generation", "Upload File": "Upload File", "Create RAG": "Create RAG", "List RAGs": "List RAGs", "Get RAG by ID": "Get RAG by ID", "Update RAG": "Update RAG", "Delete RAG": "Delete RAG", "RAG Prompt Completion": "RAG Prompt Completion", "Create Agent": "Create Agent", "Add RAG to Agent": "Add RAG to Agent", "List Agents": "List Agents", "Delete Agent": "Delete Agent", "Update Agent": "Update Agent", "Get Agent Details": "Get Agent Details", "Agent Prompt Completion": "Agent Prompt Completion", "Custom API Call": "Custom API Call", "Enables users to generate prompt completion based on a specified model.": "Enables users to generate prompt completion based on a specified model.", "Enables users to generate high-quality images based on textual descriptions.": "Enables users to generate high-quality images based on textual descriptions.", "Upload a file to Straico API for processing.": "Upload a file to Straico API for processing.", "Create a new RAG (Retrieval-Augmented Generation) base in the database.": "Create a new RAG (Retrieval-Augmented Generation) base in the database.", "List all RAG (Retrieval-Augmented Generation) bases for a user.": "List all RAG (Retrieval-Augmented Generation) bases for a user.", "Retrieve a specific RAG (Retrieval-Augmented Generation) base by its ID.": "Retrieve a specific RAG (Retrieval-Augmented Generation) base by its ID.", "Update an existing RAG (Retrieval-Augmented Generation) base with additional files.": "Update an existing RAG (Retrieval-Augmented Generation) base with additional files.", "Delete a specific RAG (Retrieval-Augmented Generation) base by its ID.": "Delete a specific RAG (Retrieval-Augmented Generation) base by its ID.", "Send a prompt to a specific RAG (Retrieval-Augmented Generation) model.": "Send a prompt to a specific RAG (Retrieval-Augmented Generation) model.", "Creates a new agent in the database for the user.": "Creates a new agent in the database for the user.", "Adds a new RAG to an agent in the database for the user.": "Adds a new RAG to an agent in the database for the user.", "Retrieves the list of agents created by and available to the user.": "Retrieves the list of agents created by and available to the user.", "Delete a specific agent by its ID": "Delete a specific agent by its ID", "Update the details of a specific agent": "Update the details of a specific agent", "Retrieve details of a specific agent": "Retrieve details of a specific agent", "Prompt an agent with a message and get a response": "Prompt an agent with a message and get a response", "Make a custom API call to a specific endpoint": "Make a custom API call to a specific endpoint", "Model": "Model", "Prompt": "Prompt", "File URLs": "File URLs", "YouTube URLs": "YouTube URLs", "Image URLs": "Image URLs", "Display Transcripts": "Display Transcripts", "Temperature": "Temperature", "Max Tokens": "Max Tokens", "Number of Images": "Number of Images", "Image Dimensions": "Image Dimensions", "Description": "Description", "File": "File", "Name": "Name", "Chunking Method": "Chunking Method", "Chunk Size": "Chunk Size", "Chunk Overlap": "Chunk Overlap", "Separator": "Separator", "Separators": "Separators", "Breakpoint Threshold Type": "Breakpoint Threshold Type", "Buffer Size": "Buffer Size", "RAG ID": "RAG ID", "Search Type": "Search Type", "Number of Documents": "Number of Documents", "Fetch K": "Fetch K", "Lambda Mult": "Lambda Mult", "Score Threshold": "Score Threshold", "Custom Prompt": "Custom Prompt", "Default LLM": "Default LLM", "Tags": "Tags", "Agent": "Agent", "Status": "Status", "Visibility": "Visibility", "Method": "Method", "Headers": "Headers", "Query Parameters": "Query Parameters", "Body": "Body", "No Error on Failure": "No Error on Failure", "Timeout (in seconds)": "Timeout (in seconds)", "The model which will generate the completion. Some models are suitable for natural language tasks, others specialize in code.": "The model which will generate the completion. Some models are suitable for natural language tasks, others specialize in code.", "The prompt text for which completions are requested": "The prompt text for which completions are requested", "URLs of files to be processed by the model (maximum 4 URLs), previously uploaded via the File Upload endpoint": "URLs of files to be processed by the model (maximum 4 URLs), previously uploaded via the File Upload endpoint", "URLs of YouTube videos to be processed by the model (maximum 4 URLs)": "URLs of YouTube videos to be processed by the model (maximum 4 URLs)", "URLs of images to be processed by the model, previously uploaded via the File Upload endpoint": "URLs of images to be processed by the model, previously uploaded via the File Upload endpoint", "If true, returns transcripts of the files. Note: Either File URLs or YouTube URLs are required when this is enabled": "If true, returns transcripts of the files. Note: Either File URLs or YouTube URLs are required when this is enabled", "This setting influences the variety in the model's responses (0-2)": "This setting influences the variety in the model's responses (0-2)", "Set the limit for the number of tokens the model can generate in response": "Set the limit for the number of tokens the model can generate in response", "Number of images to generate.": "Number of images to generate.", "Select the image generation model.": "Select the image generation model.", "The desired image dimensions.": "The desired image dimensions.", "A detailed textual description of the image to be generated.": "A detailed textual description of the image to be generated.", "The file to upload. Supported file types: pdf, docx, pptx, txt, xlsx, mp3, mp4, html, csv, json, py, php, js, css, cs, swift, kt, xml, ts, png, jpg, jpeg, webp, gif": "The file to upload. Supported file types: pdf, docx, pptx, txt, xlsx, mp3, mp4, html, csv, json, py, php, js, css, cs, swift, kt, xml, ts, png, jpg, jpeg, webp, gif", "Represents the name of the RAG base": "Represents the name of the RAG base", "Represents the description of the agent": "Represents the description of the agent", "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py": "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py", "Represents the chunking method to be used for generating the RAG base. The default value is fixed_size": "Represents the chunking method to be used for generating the RAG base. The default value is fixed_size", "The size of each chunk (default: 1000)": "The size of each chunk (default: 1000)", "The overlap between chunks (default: 50)": "The overlap between chunks (default: 50)", "The separator to use for fixed_size chunking method": "The separator to use for fixed_size chunking method", "The separators to use for recursive chunking method": "The separators to use for recursive chunking method", "The breakpoint threshold type for semantic chunking method": "The breakpoint threshold type for semantic chunking method", "The buffer size for semantic chunking method": "The buffer size for semantic chunking method", "The ID of the RAG base to retrieve.": "The ID of the RAG base to retrieve.", "The ID of the RAG base to update.": "The ID of the RAG base to update.", "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py.": "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py.", "The ID of the RAG base to delete": "The ID of the RAG base to delete", "The ID of the RAG base to query": "The ID of the RAG base to query", "A text prompt for the RAG model": "A text prompt for the RAG model", "The specific LLM to be used": "The specific LLM to be used", "Type of search to perform": "Type of search to perform", "Number of documents to return": "Number of documents to return", "Amount of documents to pass to MMR algorithm": "Amount of documents to pass to MMR algorithm", "Diversity of results return by MMR (1 for minimum and 0 for maximum)": "Diversity of results return by MMR (1 for minimum and 0 for maximum)", "Minimum relevance threshold for similarity_score_threshold": "Minimum relevance threshold for similarity_score_threshold", "A name for the agent": "A name for the agent", "A brief description of what the model does": "A brief description of what the model does", "A model that the agent will use for processing prompts": "A model that the agent will use for processing prompts", "The language model which the agent will use for processing prompts": "The language model which the agent will use for processing prompts", "An array of tags for the agent. Example: [\"assistant\",\"tag\"]": "An array of tags for the agent. Example: [\"assistant\",\"tag\"]", "The agent to add the RAG to.": "The agent to add the RAG to.", "The ID of the RAG to add to the agent": "The ID of the RAG to add to the agent", "Select the agent to delete": "Select the agent to delete", "Select the agent to update": "Select the agent to update", "New name for the agent": "New name for the agent", "New description for the agent": "New description for the agent", "New custom prompt for the agent": "New custom prompt for the agent", "New default LLM for the agent": "New default LLM for the agent", "New status for the agent": "New status for the agent", "New visibility setting for the agent": "New visibility setting for the agent", "Select the agent to get details for.": "Select the agent to get details for.", "Select the agent to prompt.": "Select the agent to prompt.", "The text prompt for the agent": "The text prompt for the agent", "The search type to use for RAG model": "The search type to use for RAG model", "Diversity of results returned by MMR (0 for minimum, 1 for maximum)": "Diversity of results returned by MMR (0 for minimum, 1 for maximum)", "Authorization headers are injected automatically from your connection.": "Authorization headers are injected automatically from your connection.", "openai/dall-e-3": "openai/dall-e-3", "flux/1.1": "flux/1.1", "ideogram/V_2A": "ideogram/V_2A", "ideogram/V_2A_TURBO": "ideogram/V_2A_TURBO", "ideogram/V_2": "ideogram/V_2", "ideogram/V_2_TURBO": "ideogram/V_2_TURBO", "ideogram/V_1": "ideogram/V_1", "ideogram/V_1_TURBO": "ideogram/V_1_TURBO", "square": "square", "landscape": "landscape", "portrait": "portrait", "Percentile": "Percentile", "Interquartile": "Interquartile", "Standard Deviation": "Standard Deviation", "Gradient": "Gradient", "Similarity": "Similarity", "MMR": "MMR", "Similarity Score Threshold": "Similarity Score Threshold", "Active": "Aktif", "Inactive": "Inactive", "Private": "Private", "Public": "Public", "GET": "GET", "POST": "POST", "PATCH": "PATCH", "PUT": "PUT", "DELETE": "DELETE", "HEAD": "HEAD" }