Renders charts and diagrams as live interactive UI inside the chat, supporting ECharts for charts and Cytoscape for diagrams with streaming partial updates.
An MCP server that enables AI agents to compile, refine, and interlink knowledge into a persistent wiki, replacing RAG with structured, curated knowledge.
Enables read-only inspection of graph-shaped memories such as Obsidian vaults, Memory MCP files, or SQLite databases, allowing users to visualize, search, and trace the provenance and recall of an agent's knowledge.
Lets Claude Code, Codex, and other MCP clients control GeoGebra to create geometric constructions, function graphs, 3D graphics, dynamic mechanisms, and save .ggb or export .png.
Enables LLM/agent applications to execute Stata code, load and inspect data, obtain structured regression results and graphs, and manage background tasks through the Model Context Protocol.
Enables controlling OriginLab Origin through MCP to read and write worksheets, build and style multi-panel graphs, and export figures, reporting what Origin actually did rather than what it was asked to do. Works from macOS or Linux against Origin running in a Windows VM.
Enables creating and maintaining technical diagrams from .dot sources, with validation, rendering to SVG/PNG/PDF, and publishing into Markdown while automatically partitioning oversized graphs.
Enables tracking personal finances with Indian Rupee support, adding expenses, listing transactions, and generating detailed financial summaries with graphs and strategic advice.
MCP server that enables Claude to directly drive Stata, providing a persistent session and 75 tools for data management, estimation, post-estimation, graphs, and export. It lets users perform full Stata analyses through natural language instructions.
Converts natural language descriptions into validated CanvasXpress JSON configurations for chart generation using RAG and a built-in visualization knowledge base. It supports over 70 chart types and ensures generated configs are compatible with provided data headers and column types.
Enables users to visualize and interact with Claude's chain-of-thought reasoning from extended thinking traces, turning them into interactive reasoning maps with typed moves, dependency graphs, timelines, and replay mode.
Enables Claude to retrieve real-time financial data, extract ESG risk metrics for S&P 500 companies, and generate automated analytical visualizations through three integrated MCP tools.
A graph database MCP server that lets AI assistants build, analyze, and visualize relationship graphs with algorithms like PageRank and cycle detection.
Enables agents to create, customize, analyze and export relationship diagrams — theorem dependencies, paper maps, task RACI, org charts, conversation graphs — through 25 MCP tools, with cycle detection, centrality bottleneck reports, dependency closure and Mermaid/DOT/Markdown/JSON interop. Graphs stay local-first in a diff-friendly JSON source of truth and can be refined on a visual canvas.
A local-first MCP server for manually building, inspecting, and saving directed acyclic graphs (DAGs) for custom days, with optional evidence summaries from Home Assistant.
Enables end-to-end analysis of Reddit discussions: fetches posts, performs sentiment and toxicity detection, generates visualizations and word clouds, and optionally builds Neo4j knowledge graphs, all through natural language orchestration.