"Information about SQL (Structured Query Language)" matching MCP servers:

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Enables filtered, read-only querying of a Notion audit trail and action queue as four native tools (filtered lists and single-row lookups), with enum parameters validated against the live database schema and errors that report allowed values. It never writes to Notion, returns flat JSON rows, and keeps the integration token server-side.

Enables natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.

Enables users to manage projects and retrieve random wallpapers through a TypeScript-based MCP server. Supports project queries, creation, and Bing wallpaper retrieval with Spring Boot-style architecture.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

MCP server enabling AI agents to create and query Harmonica deliberation sessions. It allows users to create sessions, collect responses, and get summaries via natural language.

A Model Context Protocol server for FeaturePulse feedback management, enabling AI assistants to query feature requests, analyze MRR impact, and manage product roadmaps through natural language.

Enables AI assistants to read Trello boards and generate structured summaries using live data, including project status, priorities, and recent activity through natural language requests.

MCP server for "taming the Claude" with structured task queues.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Enables AI assistants to query and manage PingCode project management data, including work items, releases, bugs, and requirements through natural language interactions.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Enables fetching and viewing Jira issue details directly through Claude Desktop using secure API token authentication. Provides comprehensive issue information including status, assignee, priority, and descriptions in both human-readable and structured formats.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.

A Model Context Protocol (MCP) service that enables integration with Mantis Bug Tracker, allowing users to query and analyze bug tracking data through natural language commands.

Enables AI-powered GitHub issue management by converting natural-language bug reports into structured issues, detecting duplicates via semantic analysis, and requiring human approval before creating issues on GitHub.

A Model Context Protocol (MCP) server that provides AI assistants with full access to the ftrack production tracking API, enabling natural language interactions to query projects, manage tasks, update statuses, and more.