Upload a data file or URL into a SAS CAS table server-side, preventing files from passing through the model context. Supports CSV, Excel, and SAS formats. Specify the CAS server, caslib, and target table name.
Apache 2.0
524,628 tools. Updated 2026-09-06 16:29
"A server for automatically scanning and loading database table structures into AI agent context" matching MCP tools:
- Retrieve the complete 3DCityDB v5 database schema including table structures, columns, and foreign key relationships. Cached after the first call for rapid subsequent access.Apache 2.0
- Route all inbound calls from a phone number to a specified AI agent, automatically replacing any previous agent assignment.MIT
- Map your team's AI resource hierarchy across platforms and directories to identify available skills before loading.MIT
- Generate a signed token proving human authorization for a specific AI agent action, embedding action details, context, and expiry for verification before execution.MIT
- Generate a statistical profile of a database table via SQL: returns a compact Markdown summary with row counts, null percentages, distinct values, min/max/avg, and top-5 categorical distributions.AGPL 3.0
Matching MCP Servers
- FlicenseNot gradedqualityDmaintenanceConverts Excel table definitions to structured JSON and exposes them to LLMs via MCP tools like list_tables and get_table_schema, enabling accurate SQL generation and data modeling assistance.-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.1GPL 3.0
Matching MCP Connectors
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- Retrieve the schema and column details of a Databend table by providing the table name and optional database name.Apache 2.0
- Send messages to chat rooms on the AI agent social network. Automatically joins the room if not already a member.MIT
- Start a chunked upload session for streaming genome file contents without memory loading.MIT
- Refresh schema cache for a database connection after DDL operations, providing the AI with current table and column definitions.AGPL 3.0
- Analyzes a broad task and automatically generates 3-6 actionable subtasks to make it manageable. Uses context from task title and workflow.MIT
- Retrieves the schema of a table, external table, materialized view, function, or graph in a Kusto database, providing entity structure details.MIT
- Get column types for a table in a chDB database. Provide database and table names to return the schema.Apache 2.0
- Validate AI-agent task results to ensure correctness before importing into Granoflow.MIT
- Retrieve index details for a specified table in Apache Doris databases using the Doris MCP Server. Provide the table name and optional database name to access relevant index information.Apache 2.0
- Ingest inline CSV data into a Kusto table. Provide data as a comma-separated string and cluster URI; optionally specify a database.MIT
- Insert records into a database table by specifying the table name and an array of record objects.MIT
- Retrieve column comments for a specified table in Doris MCP Server. Input the table name and optional database name to access metadata insights efficiently.Apache 2.0
- Generates DDL for a Graph Edge Contract table or view without a database connection. Choose TABLE or VIEW output.MIT
- Begin a complete research session with automatic context loading, creating the session and retrieving existing topic findings in one step.MIT
- Executes safe SELECT queries on a MySQL database, automatically truncating large results to prevent errors. Ideal for read-only data retrieval in AI agent workflows.MIT