"Search results for proofcut" matching MCP servers:

Enables agents to resolve data incidents by preparing remediation, inspecting verification results, and staging for human approval, while integrating with DataHub for evidence.

Matches expected payments (pain.001) against observed booked entries (camt.053) for ISO 20022 cash reconciliation, providing explainable match results with scoring and classification.

Enables optimal freight-mode selection (air, sea-LCL, full container) by solving 3D bin-packing, cost optimization, and delivery-risk analysis behind two tools: solve for deterministic planning and explain for hallucination-proof natural-language narration of results.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

Enables AI assistants to upload clinical documents and medical device images for health data extraction, normalization, and retrieval of structured coded results in formats such as JSON, FHIR, HL7, CSV, and Parquet.

Enables LLM agents to query Apache Hive/HiveServer2 by listing tables and running read-only SQL, with results returned as JSON.

An MCP server that allows AI assistants to execute SQL queries against Amazon Athena and retrieve results in structured formats.

Enables interaction with Redash instances through a standardized interface, allowing users to execute SQL queries, manage data sources, and retrieve query results using natural language.

A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.

Enables interaction with Redash through its API to execute SQL queries, retrieve results, and manage data sources. It allows users to query data and explore data sources directly through natural language interfaces.

Provides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.

A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.

An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.

Enables LLMs to interact with Google Analytics 4 data through the Google Analytics Data API, supporting standard reports, real-time data, and metadata retrieval.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables data-quality workflows by applying named, deterministic transformations to records and generating replayable lineage with content hashes, so users can verify that cleaned results follow exactly from raw inputs.

Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.

MCP server that turns Excel files into queryable databases, enabling AI agents to filter, aggregate, group, sort data and export results as new Excel files.

Enables MCP clients to run bounded robotics tasks, retrieve independently verified results, and reuse checked data or artifacts from the local WorldFuzz platform.