"Library Documentation" matching MCP servers:

MCP for Semiotic, a streaming/static data visualization library

MCP server for interacting with local Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure editing, and PBIR visual management via natural language.

Enables AI assistants to create Evidence reports and dashboards by providing tools to query database schema, read documentation, edit pages, and debug code.

MCP server for Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure management, refresh, .pbix-to-.pbip conversion, and PBIR visual editing.

Enables AI assistants to generate and render individual and composite Human Design charts, explore authorized chart and library data, and manage account usage and Website Builder projects with secure OAuth and entitlement filtering.

Provides MCP tools to validate Mermaid diagram syntax, render diagrams to SVG, and get documentation links.

Provides tools and resources for building Essential Viewer XSL views using validated v2.0 patterns, including scaffold generation, API guidance, and bundled documentation.

MCP server for MetricUI — a React dashboard component library. Provides AI coding tools with full API references, working examples, format suggestions, prop validation, and complete dashboard scaffolding for building analytics UIs.

Enables interaction with LibreOffice documents (Writer, Calc, Impress, Draw) via MCP, supporting document management, data analysis, and database operations using the OooDev library.

Generates formal string diagram visualizations of Lushy brick compositions, enabling zero-cost diagram generation and recursive self-documentation based on category theory.

Enables AI assistants to perform structural engineering analysis using the Pynite finite element library, including model creation, element definition, analysis execution, and result visualization through natural language.

Provides D3 visualization documentation, chart recommendations, and code generation through the MCP protocol.

Exposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.

Enables AI assistants to query Serpent 2 syntax and documentation, statically validate and run neutron transport calculations locally or over SSH, and parse result files into JSON summaries and plots. It also lets users browse and download official VTT nuclear data libraries.