"Accessing call logs on iPhone" matching MCP servers:

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.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Enables querying logs across Loki/SLS, querying databases via Archery, accessing Choerodon project collaboration tools, and searching local code repositories through a unified MCP interface with self-contained configuration.

Enables LLMs to query and analyze logs from SEQ structured logging server with capabilities for searching events, retrieving event details, analyzing log patterns, and accessing saved searches.

Enables AI assistants to manage BullMQ Redis-based job queues through natural language, supporting operations like job monitoring, queue control, and multi-instance Redis connections. Users can add, retry, promote, and clean jobs while accessing detailed job logs and queue statistics directly within the assistant.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

Double-entry books an agent keeps as the user, on your own Postgres or Supabase: invoices, VAT returns, bank reconciliation, financial statements and 130 country packs.

This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Enables AI assistants to perform CRUD operations on Pocketbase collections, manage authentication, and query logs via a type-safe API.

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

Enables an AI assistant to diagnose a local WordPress install by listing plugins, checking PHP/WP environment, tailing debug logs, running guarded read-only SQL queries, and inspecting Gravity Forms error and add-on logs.

Enables querying logs and metrics with plain SQL from any MCP client via pooml's read-only query API.

SchemaBrain is an MCP server that sits between AI agents (Claude, Cursor, Windsurf) and your SQL database as a read-only trust + intelligence layer. The agent never writes SQL — 12 tools compile it from definitions you control, PII and secret categories are refused before the query runs, and every call lands in a tamper-evident (SHA-256-chained) audit log. Postgres today.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.

Provides AI agents read-only access to the Autotask Report Data Warehouse for cross-client reporting on finance, contracts, projects, time, and tickets through schema exploration and SQL queries.

Read-only MCP server for Grafana Loki: lets AI agents (Claude Code, Cursor, Copilot) discover labels, read bounded LogQL pages, count lines by label or time, and export logs — across several Loki stands

Guardrail proxy for AI agents on SQL Server. Each statement runs as the caller's own login, a T-SQL parser blocks dangerous statements, and every statement is audited. Local stdio mode or a central Docker service.

Enables AI assistants to execute arbitrary SQL queries on a local SQLite database via a single execute_sql tool.

Enables AI to execute SQL queries (SELECT, DML, DDL) on MySQL/MariaDB databases with strong security: connection credentials never exposed to AI, write queries require user approval, read-only connections enforced, and query results limited to 50 rows.

MCP server for AppFolio property management data, providing six catalog-backed tools to discover, describe, and run reports (Reporting API) and call endpoints (Database API) for reading and writing property management records.