"Personalized Summary Service" matching MCP servers:

Enables exploratory data analysis through an MCP server, allowing AI assistants to load datasets, compute summary statistics, generate diagnostic plots, perform correlation analysis, and produce full markdown reports.

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

Wraps a climate data-processing pipeline so agents can inspect the config schema and available sample CSVs, validate an inline JSON config, and run the pipeline to return a monthly summary table plus a rendered plot, with file access sandboxed to the data and outputs directories.

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.

Turns a local CSV or XLSX table into a full analysis report — summary statistics, duplicate and missing-value diagnostics, top category frequencies, significant pairwise correlations, a Markdown insights writeup, and an Excel workbook with native interactive charts — entirely offline with no uploads, API keys, or pandas dependency. It runs over stdio or streamable-http behind a free anonymous tier that returns an in-band quota signal rather than silently billing.

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

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.

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 data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.

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.

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 an AI agent to generate and reconfigure real-time banking interfaces by exposing MCP tools that return UI schemas and personalized financial components based on customer context and situation. It supports dynamic situation detection, security rules, and demo profiles for adaptive dashboards.

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.