"Tor Project" matching MCP servers:

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

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 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.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

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.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

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.

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.

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.

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

Enables project and program managers to generate plan, forecast, risk, capacity, and flow reports from Jira boards inside MCP-capable AI assistants, including Gantt charts, milestones, dependency maps, workload heatmaps, Monte Carlo finish-date forecasts, and exports. It reads Jira read-only and returns deterministic calculations, charts, and files through natural-language chat.

Creates, inspects, validates, and modifies Power BI Project (.pbip) folders, generating PBIR-style reports and TMDL semantic models from structured inputs.

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 an AI assistant to build Power BI projects end to end: data modeling (tables, DAX measures, relationships, calculation groups, roles, field parameters) against an open Power BI Desktop via TOM/XMLA, and reports (pages, visuals, formatting, bookmarks, themes) as PBIR files in a .pbip project. Every visual is cross-checked against the real model before being written, so generated dashboards don't break on open.

An MCP server that lets an AI assistant drive Epistemic Network Analysis models hosted on the webENA cloud service, enabling project listing, model running, and result visualization.

Enables AI clients to build and calculate critical-path project plans through tools, including resource leveling, vacation and holiday calendars, what-if scenario comparison and Monte Carlo schedule risk simulation. Projects are read from and written as plain JSON files.