"How to use remote URLs with SSE without local files" matching MCP servers:

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

Local-first MCP server for Power BI Desktop automation. Automate semantic model changes, DAX, Power Query, Excel, and report layout from MCP-capable AI clients.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Enables AI assistants to programmatically read, modify, and query Tableau workbook files (.twb and .twbx) on the local filesystem via 80 tools.

Enables users to inspect local Hyper files by listing files, schemas, and tables, previewing up to 100 rows, and generating sample sales Hyper data.

This MCP server provides a web-ready SSE bridge for Microsoft's Power BI Modeling MCP Server, enabling URL-based interaction with Power BI semantic models from any programming language without local stdio piping. It features automatic Azure authentication and dynamic binary resolution for seamless Power BI data analysis.

Enables Claude to interact with local workspace files through MCP, including listing files, summarizing CSV datasets, generating plots, executing Python scripts, and running allowlisted shell commands from a chat interface.

Enables rendering interactive UI widgets and data visualizations for Claude.ai through MCP, supporting callback-based forms and client-side charts.

Enables AI clients to inspect and modify maps and scenes open in a locally running desktop GIS session through natural language, exposing 38 fixed tools for session and layer queries, fields, selection, visibility and renaming, symbology, transparency, camera and elevation, map switching, raster, layout export, whitelisted geoprocessing, and attribute editing. It routes stdio MCP calls through a Windows named pipe to a C# add-in, with no network ports and no arbitrary code execution.

Enables AI assistants to discover and interact with local Power BI Desktop instances, including inspecting table/column schema and executing DAX queries.

Enables full expense management, including CRUD operations, budgets, recurring expenses, CSV export, and monthly reports, through natural language.

Enables natural-language analysis and management of Google Ads accounts, campaigns, keywords, budgets, and performance metrics through Claude.

Enables natural-language queries about sales metrics, returning interactive charts inline in chat via MCP Apps with a markdown fallback for unsupported hosts.

Enables rendering, validation, formatting, and inspection of D2 diagrams via the Model Context Protocol, using WASM for rendering without requiring the d2 binary.

Enables agents to turn structured data into production-ready static maps, returning rendered PNG and SVG URLs along with an editable map link.

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

Open-source mind maps and whiteboard your agent draws on live: 22 tools for mind maps, notes, shapes, tables, charts, connectors, comments and HTML/PDF export; boards are local files.

MCP server that lets agents create and update persistent concept maps via the NodeLand API, returning shareable URLs for humans to view, embed, and keep editing.

A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.