"Categorizing messages such as emails or system logs" matching MCP servers:

Reconciles a vendor payment tracker CSV against a bank export CSV, categorizing discrepancies such as amount mismatches, unrecorded payments, and reversed transactions.

An MCP server that enables AI coding assistants to interact with a local Airflow cluster via its REST API for triggering DAG runs, monitoring status, reading logs, and diagnosing errors.

Turn any CSV into a stunning interactive dashboard with one command — works as CLI, MCP server, or AI skill

Enables interaction with an Airbyte instance through natural language, supporting workspaces, sources, destinations, connections, jobs, logs, tags, streams, and connector definitions.

Extracts structured JSON data from unstructured text using predefined schemas for receipts, invoices, resumes, and emails. It allows users to transform messy text into organized data through built-in or custom-defined fields.

Enables coding agents to interact with Metaflow workflows, including querying flows, runs, tasks, logs, and artifacts across any Metaflow backend.

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 finding and verifying work emails for contacts through a waterfall of provider keys, with per-provider cost attribution and verification after each finder.

This server acts as a MCP bridge to interact with the Cribl REST API. It allows AI models or other MCP clients to query and manage Cribl configurations.

A meta-layer MCP server that treats connectors as objects and access paths as morphisms, enabling automated coherence checks across multiple data sources to detect inconsistencies. It provides tools to list sources, compare fingerprints for coherence, and identify divergent or unreachable sources.

A Model Context Protocol (MCP) based geographic processing server that provides spatial analysis functions including coordinate system conversions, distance calculations, and area calculations.

An MCP server that provides access to Cronometer nutrition data, enabling users to pull food logs, macro and micronutrient summaries, and biometric data into Claude or Cursor. It supports daily nutrition tracking and raw CSV exports by interfacing with the Cronometer web protocol.

Snowflake integration implementing read and (optional) write operations as well as insight tracking

A Model Context Protocol server that exposes Apache Airflow's REST API to AI agents, enabling them to inspect and operate on DAGs, DAG runs, task instances, and logs.

Enables AI assistants to explore and query SAP BW/4HANA modeling objects and metadata, such as InfoAreas, InfoObjects, ADSOs, CompositeProviders, and Queries.

MCP Server for Tibber, a Norwegian power supplier. The Tibber MCP server provides an AI agent with a convenient way to interact with the Tibber API and query information such as current energy prices and your energy consumption data.

Enables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.

Provides efficient handling of large Excel files through automatic chunking and pagination, using MCP to enable seamless file reading and management features such as sheet selection and error handling.

Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.

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.