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MCP server for validating, transforming, and normalizing structured data - built specifically for AI agents

Official JavaScript SDK for ENG-AI External API v2

MinerU Document Explorer — Agent-native knowledge engine: hybrid search and deep reading over markdown, PDF, DOCX, PPTX with BM25, vector search, and LLM reranking

Superpowers Mode Switcher — switch between Classic, Copilot, and Codex superpowers variants with MCP backend management

Chrome extension that auto-scans any web page and generates AI-testable tools — no Playwright required

Mobioos Capacities CLI — authenticate, install skills, and configure MCP for your IDE

AI-assisted CLI for migrating AI agent configurations between Claude Code, Gemini CLI, OpenCode, Cursor, and more

Persistent understanding graphs for AI agents - structured memory with MCP support

Lightweight Code Intelligence Platform — analyze codebases and build knowledge graphs

Vocabulary-driven graph memory for AI agents

Knowledge Worker Operating System — turn any IDE into an AI-powered knowledge worker with local MCP servers, skills, and document intelligence. Zero API keys required.

Forged memory for your code — persistent memory and code understanding for AI coding agents

Python client, based on fastmcp, for connecting to MCP servers through multiple protocols, specifically designed to work with integrated language models.

Domain portfolio and DNS management for AI agents — CLI + MCP server with SQLite

MCP server for parallel multi-model AI queries — DeepSeek, Gemini, Kimi, Ollama, and any OpenAI-compatible API

claude-ops MCP server for OpenClaw — ops layer (tasks, bugs, plans, sessions) for self-hosted or 4iops.com hosted

MCP server for FDA drug events, drug labels, and food recalls via openFDA API

AI Agent Network — Server + Client + Setup in one package. SSE real-time communication for multi-agent orchestration.

Local multi-agent review runtime for Codex, Claude Code, and Gemini

Agent Output Guard MCP Server - Validate and verify data from other agents before acting on it. Zero LLM costs, pure computation. Solves coordination failures in multi-agent systems.