"SPARQL query language and tools" matching MCP servers:

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

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.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

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 Claude to connect to an OpenProject instance and query, search, and manage projects, work packages, users, and time entries through natural language. Supports advanced filtering, pagination, and creation of work packages like epics and user stories.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Remote MCP server for 2ools—build, version, review, and export websites, web apps, and games from the AI chat you already use. This repository includes a credential-free stdio proxy and Dockerfile that forward introspection to the verified remote endpoint without mocking tools.

Exposes CHIM change-management workflows (changes, outages, retros, and change freeze status) as MCP tools, enabling AI assistants to query and update CHIM directly.

Enables AI agents to work with Copper CRM data: search contacts and companies, review pipelines, move deals between stages, and log notes, activities and tasks. It handles date, status and stage translation so agents can query and update CRM records through natural language.

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

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

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 AI assistants to interact with Jira and Confluence via natural language, supporting 37 Jira tools and 16 Confluence tools.

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

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

Enables interaction with Backlog project management tools, allowing users to manage projects, issues, and wikis through natural language.

A production-ready MCP server that connects AI assistants to the D-Tools System Integrator platform, enabling natural language management of AV projects, clients, catalogs, tasks, service orders, and purchase orders.

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.

A read-only MCP server that enables users to retrieve and interact with Backlog projects, issues, pull requests, and notifications. It provides a secure way to query Backlog data through natural language using tools like Claude Desktop.

A Model Context Protocol server providing AI assistants with comprehensive project, task, and subtask management capabilities with project-specific storage.

Enables interaction with the TimeChimp API v2 to manage projects, time entries, expenses, and invoices through natural language. It supports full CRUD operations across all major TimeChimp resources, including advanced OData query filtering and pagination.

Provides a read-only MCP interface to Kaiten, letting an agent retrieve cards, spaces, boards, columns, lanes, discussions, checklists, tags, custom properties, sprints and time-tracking reports with paging, filtering and long-text continuation. It also lists card and comment attachments and downloads selected originals as local files, with hashes and safe unique names, for further agent analysis.

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.

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.

Enables AI agents and their human owners to discover, post, apply for, deliver, review, and settle small online tasks via a marketplace API, with tools for file uploads, event polling, and owner confirmation links.

Integrates development toolchain services (GitLab, Jira, Redmine, Mattermost, Harbor) and provides composite tools to query cross-system data with a single request.

A Model Context Protocol server that enables AI assistants like Cursor to interact with Testomatio test management platform, allowing users to query test cases, runs, and plans through natural language.

A cloud-based MCP server that enables AI tools to manage workspaces, projects, tasks, time tracking, and custom fields in Astravue through natural language.

Enables ChatGPT users to securely link their own Multica accounts and workspaces, then query, create, assign, and manage tasks through natural language.

Enables AI assistants to manage Paperclip AI agents, issues, goals, approvals, and costs via natural language by exposing Paperclip's REST API as MCP tools.

Enables AI assistants like Claude, ChatGPT, and Copilot to query live Jobber data—clients, jobs, quotes, invoices, revenue, and schedule—using natural language, with read-only access and careful API budget management.

Enables AI assistants to query, create, and manage Targetprocess entities like user stories, bugs, tasks, and features through natural language and structured tools.

Enables AI assistants to securely interact with Yandex Tracker, covering queues, issues, comments, worklogs, checklists, boards, sprints, attachments, and advanced query-language search. Supports OAuth 2.0 or static token authentication, optional Redis caching, and stdio, SSE, or HTTP transports.

Enables natural language interaction with JIRA through MCP, providing 35 tools for issues, comments, transitions, projects, boards, sprints, epics, links, worklogs, versions, attachments, users, and fields.

A TypeScript implementation of Model Context Protocol that provides integration tools for JIRA ticket creation and TODO management, allowing users to manage tasks through natural language interfaces.

Enables AI workflows and coding agents to validate a hosted setup, discover actual provider tools, and execute reviewed calls through authenticated PipMCP connections with policy, approval, and usage safeguards.

Enables users to query, create, update, and manage Digital.ai Agility assets through MCP tools, with secure Windows Credential Manager authentication and configurable write operations.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Production-ready MCP server for enforcing git/PR/Jira workflows with atomic, composable tools. Enables automated branch creation, conventional commits, PR generation, and Jira ticket operations with safety guardrails.