"Information about Jira project management software" matching MCP servers:

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

Renders Mermaid diagram markup to PNG images using Puppeteer/Chromium. Enables AI-generated diagrams to be previewed inline and saved to disk.

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.

Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.

Enables assistants to read and analyze construction schedules like a scheduler: CPM, float, critical paths, DCMA 14-point, logic checks, update-to-update comparison, baseline variance, and S-curves from P6 XER and MS Project files.

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

Enables Claude Desktop to view and interact with the currently open QGIS project, including layers, styling, selections, Processing algorithms, attribute editing, and geocoding, all running locally.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.

MCP server that connects Redash to Claude AI, enabling natural language data queries, dashboard management, and SQL execution.

Enables engineering leaders to query their AI assistant for quality KPIs — MTTR, MTTA, DORA metrics, defect escape rate and SLA breaches — computed from Jira bug, incident and deployment CSV exports already on hand. It delivers trends, period comparisons, hotspot findings and ready-to-share executive summaries and HTML dashboards without a BI stack or data warehouse.

Enables reading and building Splunk dashboards via the management REST API, using SSO for permissions and supporting both Studio and Classic formats.

MCP server that lets Claude, Cursor, or any MCP-compatible client drive Sheepit projects — enabling campaign management, destination configuration, dashboard creation, and insights queries directly from a chat interface.

Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.

An unofficial MCP server that provides 17 tools for Yandex/Google rank tracking via the Topvisor API v2, enabling project management, keyword import, asynchronous position checks, and retrieval of history and SERP snapshots.

Ask Claude, Codex or another AI assistant about your Garmin training, and get a training dashboard, also inside the chat. Official Personal API, read-only, nothing to install.

Enables controlling QGIS to generate thematic maps over a project polygon, automatically styling and clipping layers, creating print layouts, and exporting them as PDF, PNG, JPG, or TIF. It also supports headless operation and map series with one sheet per layer.

Enables local Power BI project (.pbip) automation, including model (TMDL) and report (PBIR) layer manipulation, without cloud dependencies. Provides 56 tools for building, editing, and validating reports and measures through natural language prompts.

Enables AI assistants to create and edit Office documents, presentations, and spreadsheets, as well as generate diagrams, charts, citations, and research project structures.

MCP server for Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure management, refresh, .pbix-to-.pbip conversion, and PBIR visual editing.

MCP server for interacting with local Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure editing, and PBIR visual management via natural language.

Enables Claude to drive Golden Software Surfer 13+ on Windows: interpolating XYZ data into grids, building structural contour maps, geological cross-sections and 3D surface views, and exporting documents to PNG, JPG, PDF, TIF, SVG, EMF or .srf projects. It also lists, saves and closes open Surfer documents.

Enables automated data import, analysis, graphing, and project management for Origin/OriginPro through a hardened MCP interface with constrained file access and optional expert LabTalk mode.

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS for project creation, layer loading, code execution, and more.

Enables querying Cariot APIs for fleet management data, including alcohol checks, daily reports, drivers, vehicles, and realtime snapshots, with utility for generating chart configurations.

A production-grade MCP server that exposes Tableau Server/Cloud as a BI platform, enabling project, workbook, data source, user, group, job, lineage, and export operations via natural language, with role-based permissions and token optimization.

Lets AI assistants control a live ArcGIS Pro session through arcpy, including layer management, attribute queries, geoprocessing, symbology, and export.

An MCP-native workspace where AI pushes discoveries into a live GPU-rendered graph, preserving project structure and findings across sessions.