"Grafana Cloud dashboards and visualization tools" matching MCP servers:

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables management of multiple Jira Cloud instances through MCP, including workspace linking, issue creation and editing, workflow transitions, attachment retrieval, and administration via a web interface.

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.

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.

Enables AI assistants to manage CRM deals and tasks on Aspro Cloud, including CRUD operations on deals, tasks, users, pipelines, and workflows.

MCP server for interacting with Jira Cloud instances. Enables issue management, JQL queries, project and sprint management, and batch operations via natural language interfaces.

Enables AI clients to access a shared, authenticated memory and project management system with durable storage, task tracking, roadmaps, and semantic search, deployed on Cloudflare.

A hosted MCP server that lets AI clients connect to YouGile over the network without installation, using a user's YouGile login and permissions. It provides per-company access controls, rate limits, trials, and an admin page for managing employee permissions.

An MCP server that connects AI assistants to Xray Cloud for Jira test management, enabling natural language interaction with tests, test plans, executions, and CI result imports.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

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.

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.

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

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.

Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.

Enables AI assistants to interact with Zephyr Scale Cloud for test management, including test cases, cycles, plans, folders, priorities, and statuses via the MCP protocol.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

Enables LLMs to interact with Jira Cloud through the official REST API v3, supporting operations like creating issues, searching with JQL, fetching issue details, and managing transitions.

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.

MCP server that gives AI agents read/write access to your Things3 tasks via the Things API.

Enables AI assistants to manage Jira Cloud projects, issues, sprints, and more through a curated set of 62 tools covering the full lifecycle of stories, epics, bugs, and sprints.

MCP server for Xray Cloud test management that enables importing automation results and managing tests, test executions, and test sets in Jira.

A Model Context Protocol (MCP) server that enables interaction with JIRA APIs through Claude Desktop, allowing users to search, create, update, and manage JIRA issues using natural language commands.

Dynamically exposes over 100 Jira Software Cloud REST API operations as fully typed tools for LLMs to interact with, supporting SSE and Stdio transports.

Enables AI-assisted field service management through the Service Fusion API, including job lookup, customer management, dispatch, invoicing, and equipment tracking.

This MCP server connects GitLab projects and merge requests with Jira work tracking, Confluence pages, and Grafana dashboards. It provides read-only access to GitLab, Confluence, and Grafana, while Jira mutations require explicit confirmation.

Enables AI-powered marketing campaign management across Google Ads, Facebook Ads, and Google Analytics with automated budget optimization, AI-generated ad copy, audience segmentation, and real-time performance analytics.

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 AI agents to use an approved session to inspect capabilities, manage projects and memories, perform bounded reads, and make journaled changes through a stdio interface.