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Products that do what DeepNLP AI Agent Marketplace & Router does

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  1. 1

    Turn any API into an MCP server for AI agents

    Jun 2026 · apitomcp.ai

  2. 2
    Strata652

    One MCP server for AI agents to handle thousands of tools

    Sep 2025 · klavis.ai

  3. 3
    mcp-use581

    Open source SDK and infra for MCP servers & agents

    2025

  4. 4

    Agent capable of doing deep research for you independently

    2025

  5. 5

    Bridging research and action

    2025

  6. 6BA

    Sep 2025 · thealliance.ai

  7. 7

    Powerful Conversational AI Agent Builder Platform

    Nov 2025

  8. 8

    Bring the world's best AI agents into your app, with one API

    Jul 2026 · harnessrouter.ai

  9. 9

    Power your AI agents with enterprise-ready tools via MCP

    Oct 2025

  10. 10
    MCP36061

    App Store for AI Agents

    Oct 2025

  11. 11

    Global APIs as MCP powered by AI Gateway

    2025

  12. 12

    Give AI agents access to real-time data across 200+ apps

    May 2026 · apideck.com

  13. 13

    Build and control voice AI agents via MCP

    Apr 2026 · sigmamind.ai

  14. 14
    AutoMCP150

    Easily deploy your existing AI agent projects as MCP servers

    2025

  15. 15HM

    Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor / Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results…

    2025 · github.com

  16. 16UM

    Hey HN Community, I built MCP360 after spending weeks integrating APIs for an AI agent project. Each tool needed its own setup, auth, billing, and maintenance. When any APIs changed, my integrations broke. I got tired of it. MCP360 is a single gateway giving AI agents access to 100+ tools through one config block. Search engines, web scraping, SEO, e-commerce data, maps, domain tools, and more. Real example: Instead of managing Google Search, web scraping, SERP tracking, and keyword research as 4 separate subscriptions (4 bills, 4 auth systems, 4 points of failure), you connect once. Works…

    Oct 2025 · mcp360.ai

  17. 17

    Let AI agents safely act in 1,000+ customer apps

    Jun 2026 · weavz.io

  18. 18MA

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

    2025 · github.com

  19. 19NT

    Today we're releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP). MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat. A simple example: if you had a Blackjack MCP server with tools like deal, bet, and…

    Sep 2025 · nanobot.ai

  20. 20

    15 MCP tools. 27 retailers. Search, compare, buy

    May 2026 · cli-market.dev

  21. 21RA

    Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

    2025 · github.com

  22. 22

    Prompt, run, and deploy agents across Social Media and LLMs

    2025

  23. 23

    OneKey access for agents Ship APIs/MCP/Skills/CLI 10× faster

    Apr 2026 · aiagenta2z.com

  24. 24IB

    A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…

    2025 · github.com

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