tools.ts•4.63 kB
export const MCP_COSMOSDB_TOOLS = [
// 1. Database Operations
{
name: "mcp_list_databases",
description: "List all databases in the CosmosDB account",
inputSchema: {
type: "object",
properties: {
random_string: {
type: "string",
description: "Dummy parameter for no-parameter tools"
}
},
required: ["random_string"]
}
},
// 2. Container Operations
{
name: "mcp_list_containers",
description: "List all containers in the CosmosDB database",
inputSchema: {
type: "object",
properties: {
random_string: {
type: "string",
description: "Dummy parameter for no-parameter tools"
}
},
required: ["random_string"]
}
},
// 3. Container Information
{
name: "mcp_container_info",
description: "Get detailed information about a specific container including throughput settings",
inputSchema: {
type: "object",
properties: {
container_id: {
type: "string",
description: "The ID of the container to analyze"
}
},
required: ["container_id"]
}
},
// 4. Container Statistics
{
name: "mcp_container_stats",
description: "Get statistical information about a container including document count and partition key distribution",
inputSchema: {
type: "object",
properties: {
container_id: {
type: "string",
description: "The ID of the container to analyze"
},
sample_size: {
type: "number",
description: "Sample size for statistics calculation",
default: 1000
}
},
required: ["container_id"]
}
},
// 5. Query Execution
{
name: "mcp_execute_query",
description: "Execute a SQL query against a CosmosDB container",
inputSchema: {
type: "object",
properties: {
container_id: {
type: "string",
description: "The ID of the container to query"
},
query: {
type: "string",
description: "The SQL query to execute"
},
parameters: {
type: "object",
description: "Optional parameters for the query as key-value pairs"
},
max_items: {
type: "number",
description: "Maximum number of items to return",
default: 100
},
enable_cross_partition: {
type: "boolean",
description: "Whether to enable cross-partition queries",
default: true
}
},
required: ["container_id", "query"]
}
},
// 6. Document Operations
{
name: "mcp_get_documents",
description: "Get documents from a container with optional filters",
inputSchema: {
type: "object",
properties: {
container_id: {
type: "string",
description: "The ID of the container to query"
},
limit: {
type: "number",
description: "Maximum number of documents to return",
default: 100
},
partition_key: {
type: "string",
description: "Optional partition key to filter by"
},
filter_conditions: {
type: "object",
description: "Optional filter conditions as key-value pairs"
}
},
required: ["container_id"]
}
},
// 7. Get Document by ID
{
name: "mcp_get_document_by_id",
description: "Get a specific document by its ID and partition key",
inputSchema: {
type: "object",
properties: {
container_id: {
type: "string",
description: "The ID of the container"
},
document_id: {
type: "string",
description: "The ID of the document to retrieve"
},
partition_key: {
type: "string",
description: "The partition key value for the document"
}
},
required: ["container_id", "document_id", "partition_key"]
}
},
// 8. Schema Analysis
{
name: "mcp_analyze_schema",
description: "Analyze the schema of documents in a container to understand data structure and types",
inputSchema: {
type: "object",
properties: {
container_id: {
type: "string",
description: "The ID of the container to analyze"
},
sample_size: {
type: "number",
description: "Number of documents to sample for analysis",
default: 100
}
},
required: ["container_id"]
}
}
];