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

Enables an agent to read the user's local Messages.app database on macOS, listing chats and threads and searching iMessage/SMS history entirely on localhost, with optional AppleScript sending gated behind an explicit flag. Access is read-only and scoped-shut by default, and replies can be optionally sent when send mode is enabled.

Read-only MCP server for Elasticsearch log querying. Enables natural language search, filtering, context retrieval, and aggregation of logs.

Enables querying OpenTelemetry logs stored in OpenSearch across development and production environments. Provides tools for searching logs by various criteria including free-text Lucene queries, trace IDs, service names, error levels, and specific fields.

Enables users to manage company departments, employees, expenses, and performance ratings through a natural language interface in Claude Desktop. It features 12 specialized tools for comprehensive CRUD operations and AI-powered organizational analysis using Google Gemini.

MCP server for snowflake that doesn't allow write operations under any circumstances, and includes a system prompt.

A read-only MCP server that lets AI clients investigate logs stored in VictoriaLogs over stdio, offering LogsQL search, UUID/stream lookups, stream and field discovery, hit aggregation, and stats queries with time-range and filtering controls. It supports bearer, basic, or anonymous auth, multi-tenant account/project IDs, and response size and timeout limits.

CTX is a tool made to solve a big problem when chatting with LLMs like ChatGPT or Claude: giving them enough context about your project.

A comprehensive system that helps organizations track, manage, and respond to security vulnerabilities effectively through features like vulnerability tracking, user management, support tickets, API key management, and SSL certificate management.

A production-grade MCP server that enables AI assistants to securely manage healthcare data through clinical tools for patient vitals, lab results, and medication ordering. It prioritizes security and compliance with features like HIPAA-ready audit logging, PII redaction, and role-based access control.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Enables intelligent data analysis and querying of Snowflake databases through specialized AI agents. Features 20+ tools for data operations, lineage tracing, usage analysis, and performance optimization with multi-agent architecture.

A dual-server MCP system with PostgreSQL integration that provides financial tools (stock prices, portfolio calculation, financial news) on one server and utility tools (weather, time, data processing, text analysis) on another server.

A comprehensive Model Context Protocol (MCP) server for product inventory management with PostgreSQL database backend, enabling natural language queries for product information across multiple AI platforms.

Enables intelligent analysis of regression test failures and automatic discovery of solutions in JIRA. Analyzes test logs using AI-driven algorithms and matches errors with relevant JIRA issues through natural language interactions.

Enables read-only SQL analytics and ALS collaborative filtering recommendations on a Postgres e-commerce database.

Enables AI agents and LLM clients to securely query and write PI time-series archives, AF asset databases, elements, attributes, and summaries through standard tool calls, with optional off-by-default tools for building and maintaining AF structures and dry-run modifications.

A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.

A full-stack AI application implementing a Model Context Protocol server for retail operations. It enables users to query inventory, analyze pricing elasticity, and get demand forecasts through a conversational interface connected to Firebase Firestore.

Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.

Enables natural language interaction with heterogeneous databases (MySQL and PostgreSQL) for CRUD operations across customer, product, and sales data with intelligent query routing and visualization capabilities.