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617,774 tools. Updated 2026-09-27 22:34

"A tool for parsing tables and analyzing data" matching MCP tools:

  • Generate TQL parsers to convert log events into structured data for security analysis. Analyze JSON, CSV, syslog, or key-value formats to create parsing code with type conversions and schema transformations.
    Apache 2.0
  • List data specs (parsing/mapping rule sets) or their processing jobs in a workspace. Supports pagination; for live Iceberg tables, submit a SHOW TABLES query instead.
    MIT
  • Discover related tables by analyzing shared key fields to identify parent/child relationships, common join patterns, and related configuration tables in PeopleSoft databases.
    MIT
  • Retrieve structured tables from North Dakota Supreme Court opinions by citation, converting scrambled flat text into readable rows and cells for display or parsing.
    Creative Commons Zero v1.0 Universal
  • Trigger a historical data resync for specified tables in a Fivetran connection, refreshing only those tables without a full resync.
    MIT

Matching MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.
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Matching MCP Connectors

  • Request a restaurant table by automated phone call; charged only when the restaurant says yes.

  • Reliable PDF table extraction. Pass a URL, get structured JSON tables with citations.

  • Retrieve detailed graph data, including nodes, edges, and statistics, formatted as tables and descriptions. Use to analyze graph structure and gain insights from the Pythagraph RED API.
    ISC
  • Geocode address using individual components like street, city, region, and postal code. Ideal for structured data from forms or databases, skipping free-text parsing.
    MIT
  • Discover all tables in a Hydrolix database, filter by name patterns, and retrieve basic metadata like row counts, sizes, and primary keys for efficient exploration.
    Apache 2.0
  • Retrieve detailed time-series data from Strava activities for analyzing workout metrics, visualizing routes, and performing activity analysis with flexible resolution and format options.
    MIT
  • Retrieve summary statistics for all loaded Rapid7 datasets. Get row counts and distributions for assets, vulnerabilities, policies, and remediation tables to quickly overview data coverage.
    MIT
  • Discover registered data sources and their schema summaries to identify available tables before querying data.
    Apache 2.0
  • Retrieve all available tables within a specified Panther Database to understand data structure and log types for security monitoring queries.
    Python
    Apache 2.0
  • Update an existing Automation Studio template with new command, template text, or sample data, preserving unspecified fields. Supports text processing, configuration generation, and data parsing.
    GPL 3.0
  • 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
  • Find tables that are frequently queried together in SQL, revealing natural JOIN relationships and data affinity patterns for a specified table.
    MIT
  • Discover available tables and views in a data source to identify data for synchronization jobs. Returns table names in the exact format required for task configuration.
    MIT