"How to create pie and line charts with MCP" matching MCP servers:

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

A FastMCP server backed by Postgres that demonstrates MCP tools, resources, and prompts, with a focus on session affinity and load balancing via HAProxy.

Reads local LINE chat history from your own computer and summarizes daily conversations through Claude Code, extracting decryption keys from LINE's memory on Windows.

Enables MCP-capable agents to profile datasets and render CSV/TSV/TXT/JSON data into standalone interactive ECharts HTML charts fully offline, returning the HTML artifact plus rendering statistics in the same response.

Enables AI assistants to read, search, and reply to personal LINE messages, including end-to-end-encrypted chats and media, all decrypted locally.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

A read-only MCP server that lets AI search and read both sides of a user's own LINE Desktop chat history on macOS using local database snapshots, without needing a LINE Official Account or altering unread state.

A read-only MCP server that lets AI search a user's own LINE Desktop chat history on macOS, providing tools to list chats, retrieve messages, and search conversations directly from the local encrypted database.

A read-only MCP server that connects ChatGPT/Codex to LINE Desktop's local encrypted database to provide private conversation advice without sending messages.

Enables automation of LINE messaging through the Chrome extension, allowing users to check status, list chat rooms, read messages, search conversations, and manage login sessions via MCP tools.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables MCP-capable AI clients to search both sides of a user's own macOS LINE Desktop chat history — listing chats, reading messages, searching text, and pulling recent activity from local read-only database snapshots. It never sends messages, marks chats read, clicks through the UI, or requires a LINE Official Account.

Enables MCP-capable agents to locate game save files, identify their engines, compute unlock plans for gallery/recollection flags, diff saves, and safely dry-run, apply, verify, or roll back reversible byte patches with automatic backups.

Enables AI clients to operate a personal LINE account through MCP, listing friends and groups, retrieving and searching message history, and sending text, mentions, and registered media. Also supports group creation, display-name changes, and reply drafting based on owner-approved conversation history.

Enables language models to read and analyze LINE Bot conversations through a standardized MCP interface. Supports text, sticker, and image messages with webhook event handling and message storage in JSON format.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.