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Alternatives

Products that do what UTCP does

The open, direct alternative to MCP for tool calling

  1. 1

    Build tool-calling agents in 4 lines of code

    2025

  2. 2

    Connect any API to any AI agent

    May 2026

  3. 3

    Test MCP servers like a real AI client, not just a ping

    May 2026

  4. 4

    Open-source Computer Use MCP for AI agents

    May 2026

  5. 5
    Toolport130

    Every tool, one port. One MCP setup for all your AI agents

    29d ago · toolport.app

  6. 6

    Connect AI agents to 1000+ apps directly from your terminal

    Mar 2026

  7. 7

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

    May 2026

  8. 8

    Connect your AI Agent to 400+ business systems in minutes

    Oct 2025

  9. 9

    Global APIs as MCP powered by AI Gateway

    2025

  10. 10

    Build and control voice AI agents via MCP

    Apr 2026

  11. 11

    The fast, Pythonic way to build MCP servers and clients

    Jan 2026

  12. 12

    Define agent tools in TypeScript & deploy as MCP servers

    Nov 2025

  13. 13
    WebMCP108

    Give AI agents access to web apps via JavaScript

    Feb 2026

  14. 14

    Open standard for AI Agent2Agent collaboration

    2025

  15. 15
    Air MCP129

    Tool For All AI Integrations, let AI use your apps

    2025

  16. 16

    Open-source MCP playground to test and introspect servers

    Nov 2025

  17. 17

    MCP server that gives AI the ability to use an iPhone

    Jan 2026

  18. 18

    Scale web agents in our cloud, remote control your browser

    Nov 2025

  19. 19

    Give LLMs access to web accessibility testing APIs

    Jan 2026

  20. 20BO

    We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…

    Sep 2025

  21. 21UM

    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

  22. 22MM

    Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…

    Dec 2025 · github.com

  23. 23IB

    TLDR: OpenAPI-MCP is a Dockerized server that dynamically generates Model Context Protocol (MCP) tool definitions directly from your Swagger/OpenAPI documentation. It allows your AI agent to seamlessly access any API without additional coding, streamlining development and eliminating repetitive manual setup. For more details, code updates-----: GitHub: ckanthony/openapi-mcp Docker Hub: ckanthony/openapi-mcp

    2025 · github.com

  24. 24AA

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