"Accessing call logs on iPhone" matching MCP servers:

Calculates Taiyi Shenshu (太乙神數) based on a given datetime and returns structured text and a board PNG image.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.

Computes biorhythm values (physical, emotional, intellectual) and generates a PNG chart showing sine curves based on birth date and optional target date.

Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.

Exposes a time series forecasting model as an MCP tool with built-in audit logging for every call, enabling trustworthy autonomous forecasting.

Enables AI agents to push numbers and metrics to iPhone Home Screen, Lock Screen, and Live Activities widgets and read them back.

TableCharts MCP Server gives any LLM assistant the ability to instantly convert tabular data into beautiful, hosted, interactive dashboards. Simply provide JSON rows, raw CSV text, or a public URL (Notion page, Google Sheet, or Salesforce report), and get back a shareable dashboard URL plus an embeddable iframe code — all in one tool call. Supports 6 chart types: bar, line, area, pie, scatter, a

Enables headless control of DHI MIKE Zero, including launching and batch-running simulations, monitoring job progress and logs, and reading/plotting simulation results from DFS and RES1D files.

Enables AI agents to browse and filter experiment runs, retrieve metrics, logs, tables, and artifacts, plot comparisons as PNG images, and download full-fidelity training history for local analysis against a self-hosted Open Train server. It also provides diagnostic tooling that surfaces metric evidence and investigation leads without asserting causality.

A review-only MCP server that provides tools for reviewing trade records against a live TradingView Desktop chart over Chrome DevTools Protocol on localhost.

Enables AI assistants to control Origin/OriginPro on Windows, including data import, worksheet editing, graphing, analysis, and figure export.

MCP server for accessing World Bank data, enabling indicator search, data retrieval, country comparisons, trend analysis, rankings, and chart generation.

Lets an MCP client read PX4 SITL .ulg logs and answer why a flight failed or underperformed — failsafes, arming reasons, estimator validity versus simulator ground truth, and how late PX4 followed offboard velocity setpoints. It also lists, searches, scans and plots topics, messages and parameters across logs, replacing hand-written pyulog scripts.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

Enables AI assistants to read, write, format, and analyze Excel files with 34 tools, including real-time editing on macOS with Microsoft Excel.

Enables AI assistants to validate, simulate and translate contingency-dsl reinforcement schedules, converting between DSL expressions and Method-section prose and summarizing or analyzing recorded session logs without hand-writing FR/VI generators. Runs simulations on a virtual clock for reproducible results and returns structured output for every tool.

Enables AI clients to render a workspace from a table by selecting an appropriate widget and DataProfile based on a user intent, then returning a chart view with a signed data link.

A data visualization MCP server built on FastMCP, providing 32 tools for chart generation, report building, and data processing.

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.

Enables Codex to send structured data and render compact canvas artifacts beside native answer text on Even Realities G2 glasses, using authenticated stdio or Streamable HTTP transport with strict schemas, revisions, expiry, and delivery receipts.