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MIT
620,587 tools. Updated 2026-09-29 02:04
"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
- Retrieve all tables in a RawTree database with row and byte counts to discover available data, find table names for queries, or verify table creation.MIT
- Retrieve the CREATE TABLE DDL for a Teradata table to view its full schema, including column types, constraints, primary indexes, and keys. Requires both table and database names.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
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceConverts 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 gradedqualityAmaintenanceA lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.MIT
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- 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
- Retrieve the schema and column details of a Databend table by providing the table name and optional database name.Apache 2.0
- Retrieves database names and organization context within a RawTree cluster, so you can select a database for queries, ingestion, or log inspection.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
- Run SQL queries on DuckDB or MotherDuck databases. Unqualified table names resolve automatically to the current database and schema.MITDestructive
- Get column types for a table in a chDB database. Provide database and table names to return the schema.Apache 2.0
- Retrieve database rows with optional filters while automatically masking sensitive fields through the KVKK/GDPR gateway.MIT
- 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