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An MCP server built by DidierRLopes that provides comprehensive access to OpenBB's widget development documentation and includes essential boilerplate code for building OpenBB Workspace widgets. The server exposes over 30 documentation tools covering widget types (Plotly charts, AgGrid tables, HTML, markdown), parameter configurations (dropdowns, date pickers, boolean toggles), widget settings (grid sizing, error handling, refresh intervals), and JSON specifications for apps and agents. It features a specialized tool that provides the foundational FastAPI setup with CORS configuration, widget registration decorators, and the required widgets.json endpoint structure, along with a working Monte Carlo stock simulation widget example that demonstrates proper integration patterns. The implementation is containerized and deployable, making it useful for developers building financial dashboards, creating custom OpenBB integrations, and learning widget development patterns through comprehensive documentation access and ready-to-use code templates.

This MCP server collection by Diego Rodriguez provides two specialized services: a One Piece anime/manga information server and a geolocation service. Built with TypeScript and the MCP SDK, it uses a configurable architecture through Smithery that allows users to select which server to run at startup, with the One Piece server as the default. The implementation demonstrates a multi-server approach within a single repository, making it useful for developers who want to offer multiple themed or functional MCP services while maintaining a unified deployment and configuration system.

what3words MCP — 3-word grid geocoding

Scores software specifications on completeness, clarity, constraints, and specificity, providing a balance score and verdict to help improve specs before implementation.

Create high-control English prompts for **Seedance 2.0** and **Seedance 2.0 Fast** using multimodal references.

Memory Bank MCP Server provides a structured documentation system for context preservation in AI assistant environments. Built with Python using FastMCP, it offers tools for generating templates, analyzing project summaries, and retrieving guidance on Memory Bank setup and usage. The server maintains a collection of templates for core documentation files like project briefs, product context, and system patterns, enabling AI assistants to maintain consistent project knowledge across sessions despite memory resets. It's particularly valuable for developers working on complex projects who need their AI assistants to maintain context and produce self-documenting projects as a side effect.

MCP server that bridges industrial IoT data with conversational AI, enabling natural language queries to machine health telemetry through ChatGPT.

Enables Claude to read and analyze notes from the macOS Notes app, with configurable access control via allowlist/denylist modes.

Analyzes git commit patterns to monitor autonomous.

Belief-Desire-Intention (BDI) deliberative agent architecture with belief revision and commitment planning.

Enables AI agents to automate GitHub repository management, issue tracking, and commits using natural language.

Enables dynamic TypeScript code execution against Tana's Local API for flexible knowledge management operations including workspaces, nodes, tags, search, and field management.

Cloud GPU jobs from Claude Code under a hard spending limit: fine-tuning, evals, batch inference. Plugin + MCP server.

Dictionary MCP — wraps Free Dictionary API (free, no auth)

A lightweight MCP server for web inspection. Includes tools for fetching HTTP headers and performing DNS lookups.

Create ASCII art and text-based visualizations for artistic expression, technical diagrams, or conceptual.

Enables natural language interactions for creating, querying, updating, and deleting job plans in IBM Maximo.

A safe Python MCP server modeled on a Java reference, providing tools to create and search customers, create pending orders, list customer orders, and run health checks.

Ground citations before your agent emits them by checking references against public scholarly registries and flagging hallucinated or retracted ones.

Ground GTM agents in governed, cited company truth.