An MCP server for Claude Code that enables the creation and manipulation of professional-grade SVG graphics using features like layer management, complex path drawing, and animations. It includes AI-assisted design capabilities for color suggestions and layout optimization, supporting exports to SVG and PNG formats.
Enables creating and iterating on animated SVG diagrams from text input, photos of sketches, and YAML specifications, with support for shapes, connections, SMIL animations, and file output.
Enables creation, validation, rendering, and optimization of SVG images with conversion capabilities to PNG, React components, React Native components, and Data URIs.
A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.
Enables high-quality conversion of SVG files to PNG, ICO, and JPG formats with optimized Chinese character rendering. Supports single file, batch, and string-based conversions using multiple rendering engines including Cairo, SVGLib, and PIL.
A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.
Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.
Provides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.
An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.
Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.
A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.