Provides specialized development tools and utilities for Next.js, allowing AI agents to perform runtime diagnostics and access official documentation. It enables automated context initialization and real-time interaction with Next.js development servers to query application state.
Provides AI agents with access to a comprehensive database of 200+ Next.js documentation URLs for intelligent document selection and retrieval. Enables Claude and other AI assistants to analyze user queries and recommend the most relevant Next.js documentation pages.
A template MCP server built with Next.js using the Vercel MCP Adapter. Provides a framework for deploying MCP servers with custom tools, prompts, and resources on Vercel with SSE transport support.
A sample implementation of Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create custom AI agent backends with tools, prompts, and resources.
A template for deploying Model Context Protocol servers as Next.js routes using the mcp-handler adapter, enabling easy integration of MCP tools, prompts, and resources into any Next.js application.
A template for building MCP servers in Next.js applications using the Vercel MCP Adapter. Provides a foundation for adding custom tools, prompts, and resources to any Next.js project with deployment support on Vercel.
Enables AI chat integrations to manage todo lists by providing tools for adding, listing, updating, and deleting tasks. It is built with Hono and supports flexible deployment options including Cloudflare Workers with D1 persistence.
nexus-agents makes your AI coding tools work together intelligently. It coordinates Claude, Codex, Gemini, and OpenCode — routing each task to the best model using data-driven algorithms, validating outputs through multi-model consensus voting, and continuously improving through outcome-driven learning. Connect it to any MCP-compatible editor (Claude Code, Cursor, VS Code) and it handles the rest.
NexusAPI provides a suite of 18 compute tools for AI agents, including web scraping, sandboxed Python code execution, and NLP processing. It enables agents to perform complex tasks like sentiment analysis, image manipulation, and data extraction through a unified interface.
Exposes the Balanced Intelligence Convergence Pipeline as MCP tools for multi-LLM query fan-out, consensus, evidence auditing, compliance checking, and disagreement analysis.
Real-time LTL freight fuel surcharge rates for 9 US carriers and US state ABC liquor license compliance lookups (CA, TX, NY, FL). Every response includes a verifiability block with extraction confidence and source URL so agents can assess data quality before acting.
A fully local, open-source MCP server that replaces Azure AI Foundry, enabling model management, inference, evaluation, and RAG using Ollama without any cloud dependencies.
Unified MCP server combining hybrid search (vector + BM25 + code graph), structural code analysis, and persistent semantic memory. 15 tools, 25+ languages, <350MB RAM, fully local.
A comprehensive Model Context Protocol toolkit that transforms AI assistants into autonomous agents capable of executing real-world tasks across filesystems, web requests, Git workflows, databases, system commands, and AI integrations.
Turns your Obsidian vault into an MCP-enabled workspace with tools for reading/writing notes, managing folders, running semantic searches, and maintaining long-term memory—all while keeping data local to your vault.
Enables AI assistants to interact with Nexus projects, allowing management of projects, bugs, milestones, concepts, and templates through natural language commands.
Enables hybrid web search and intelligent content extraction, combining semantic search with documentation-optimized reading that strips noise and returns clean, token-efficient context for AI agents.
A sovereign, six-layer permanent memory system that provides users with a structured and persistent personal knowledge base across VS Code, Claude, and ChatGPT. It utilizes a neural mesh architecture and ENGRAM O(1) lookup to ensure data ownership and constant-time memory retrieval.
Enables debate search and citation functionality through web search, Wikipedia, arXiv, and AWS documentation APIs. Designed to power debate features with comprehensive research and citation tools via MCP protocol.
A Modular Command-line Program for fetching and filtering NFL transaction data, including player movements, injuries, disciplinary actions, and more from ProSportsTransactions.com.
