"Twitter Pages to Follow for Cryptocurrency Updates" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
An automated first pass over your architecture: structured intake in, verdict report out — every finding cited to its rule, an improvement map, and a plain NOT ASSESSED list of what was not examined. US$99 one-time; human-led tiers above it — Verified at US$749 and a Deep Dive (Principal Review) at US$5,000 cover adjudication and live-evidence work.
Vedic and Western astrology for AI agents: charts, dasha, matchmaking, panchanga, numerology, tarot.
Ask your AI assistant to sketch or change a Neo4j graph data model, then open it in toro4n.
Human-agent interface for projects: you prioritize and decide, your AI agents execute. Over MCP.
Patterns for designing and reviewing AI skills, agents, and multi-agent workflows. Find guidance on context economy, delegation, verification, and tool design; inspect claims, worked examples, maturity labels, and source references. Five read-only tools let agents discover relevant patterns, compare concise cards, read specific sections, and explore relationships. Hosted Streamable HTTP at https://agentic-atlas.dev/mcp/ — no installation, account, or API key required. Browse the atlas at https://agentic-atlas.dev/.
Search thousands of B2B conferences, see every speaker and sponsor, look up where a company speaks or sponsors, and rank events by fit with the people you sell to.
Write product documentation to share with your whole team, including testable specifications.
Architecture docs and patterns for NestJS + Nuxt full-stack apps
Draw diagrams, build HTML pages and write Markdown in a live editor the user sees.
40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP.
Software design skills for AI coding agents, inspired by A Philosophy of Software Design.
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
Neutral, sourced, dated facts for choosing software: price, free tier, idle rules, security record.
Draw Hola Cloud gives AI agents a visual canvas for creating and sharing diagrams. Through a simple MCP interface, agents can draw architecture diagrams, system designs, workflows, sequence diagrams, flowcharts, infrastructure layouts, and other visual explanations using shapes, connectors, text, icons, and images. The server lets an AI build a complete diagram programmatically and return a shareable Draw Hola Cloud URL that can be opened in the browser, edited, presented, or shared with others.
Idea to buildable dApp spec
Build Spring Boot applications, ready for coding agents, including best practices.
OSS libs in your stack, really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
Geometry and CAD file metadata extraction for STL, OBJ, PLY, PCD, LAS/LAZ, glTF/GLB.
Read-only, source-backed compatibility lookups and approved changes for ResolveMesh's catalog.
Provides UX capabilities to enhance the design output and understanding of AI systems.
- MySpecOAuthdev.myspec.mcp
Interactive AI architect for Spec-Driven Development (SDD). Interviews developers and manages structured 4-file spec bundles (constitution.md, requirements.md, solution.md, tasks.md) with 31 tools for Cursor, Claude Code, and Windsurf.
MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.
- AiNectoOAuthcom.ainecto
Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.
- LucidOAuthapp.lucid.mcp
Lucid’s connector creates diagrams, searches, edits, shares, and retrieves docs to summarize.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal E…
MCP gateway with 10 tools for code analysis, architecture, package audit & security.
A connected canvas for the builders of the next era.
EN Diagram — structural verification for concurrent systems. Pure math, no AI.
AI knowledge graph for architecture, portfolio, and digital strategy management.
Evidence-backed architecture-quality analysis for Python agent applications.