"Mock Service Worker" matching MCP servers:

A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.

MCP server exposing BI Portal's self-service Report Builder to MCP clients, enabling listing datasets, running ad-hoc queries, creating/editing/submitting draft reports, and viewing saved dashboards.

Enables AI agents to query a privacy-focused analytics service for aggregate stats, breakdowns, realtime visitors, and time-series trends across cloud or self-hosted deployments. It also provides connectivity checks and guided analytics playbooks.

MCP server enabling AI agents to directly query and manage Power BI datasets, reports, and workspaces via DAX, with built-in data security policies and support for both Power BI Desktop and Service.

Enables AI clients to generate over 26 chart types via MCP, automatically starting a private rendering service.

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 MCP clients to parse charts and chart data out of PDF documents. The deployed service requires a bearer token on every request and rejects any tool argument that the tool's signature does not declare.

Enriches CAP Node.js MCP query tool results with an interactive UI5 Web Components table when the host supports MCP Apps, and lets annotated service actions appear as toolbar or row buttons that invoke the MCP call tool.

MCP server enabling AI agents to control RViz2 displays, fixed frames, and views, with offline mock support for CI and demos.

Enables MCP-compatible AI clients to build and modify Power BI reports through natural language, including pages, visuals, themes, filters, and formatting using local PBIR files without REST API keys or the Power BI service.

Enables Claude to drive IDEA StatiCa Connection through the locally installed REST service, opening projects and reading or modifying connections, members, operations, parameters, and loads. It can run CBFEM calculations, summarize check results, and generate reports, images, and exports saved back to disk.

Enables agents to validate climate processing configs, inspect available sample data, and run a climate data pipeline that aggregates mock daily weather into monthly summaries and plots. Returns validation results and rendered plot output through inline JSON configs.

Generates matplotlib charts via a FastAPI service, supporting line, bar, scatter, and pie charts with customizable labels and data.

Double-entry accounting service for personal finance with MCP tools, enabling AI agents to manage accounts, transactions, budgets, and analytics via PostgreSQL.

MCP server for Google Search Console, providing tools for site properties, search analytics, URL inspection, sitemaps, and audit reports.