Alternatives

Products that do what Toolport does

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

1. 1
   Conduit▲137

   Fix the tool-list bloat slowing your AI agent

   Jun 2026

2. 2
   localskills.sh▲115

   AI Skill & MCP server management for teams & enterprises

   Jul 2026

3. 3
   AutoMCP▲150

   Easily deploy your existing AI agent projects as MCP servers

   2025

4. 4
   Universal CLI by Composio▲161

   Connect AI agents to 1000+ apps directly from your terminal

   Mar 2026

5. 5
   BuildShip Tools▲224

   Vibe-code MCP-ready tools for any AI Agent

   2025

6. 6
   Apideck MCP Server▲178

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

   May 2026

7. 7
   Remote OpenClaw▲81

   13,000+ MCP servers, skills & plugins for AI coding agents

   Jul 2026

8. 8
   Open Computer Use▲92

   Open-source Computer Use MCP for AI agents

   May 2026

9. 9
   1DevTool▲94

   Multi-project IDE with persistent terminals and 9 dev tools

   Mar 2026

10. 10
    MCP by Alloy Automation▲101

    Connect your AI Agent to 400+ business systems in minutes

    Oct 2025

11. 11
    MCP Bridge by Appfactor▲211

    Connect any API to any AI agent

    May 2026

12. 12
    UTCP Agent▲124

    Build tool-calling agents in 4 lines of code

    2025

13. 13
    SuprSend AI▲124

    AI-first platform for multi-channel notifications

    May 2026

14. 14
    Pensieve▲133

    Full company context for every AI agent

    Mar 2026

15. 15
    MCPTotal▲179

    Secure MCP servers that just work

    Dec 2025

16. 16
    Kit For AI▲83

    The memory layer for AI agents

    Jul 2026

17. 17
    Metorial▲115

    Connect your AI products to 600+ integrations in minutes

    Oct 2025

18. 18
    Velane▲95

    Cloud for your AI Agent's tools and functions

    Jul 2026

19. 19AL
    A library to convert+deploy existing agent projects as MCP servers▲22

    Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…

    2025 · github.com

20. 20
    apra-fleet▲87

    Run a fleet of AI agents across your machines

    24d ago · apra-labs.github.io

21. 21
    MCP Bundles▲23

    Your tools, bundled for AI

    Dec 2025

22. 22
    Blender Agent Bridge▲81

    Open-source MCP bridge for Blender AI workflows

    20d ago · github.com

23. 23OS
    Open-Source MCP Server for Context and AI Tools▲43

    Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

    2025

24. 24
    MCP360▲61

    App Store for AI Agents

    Oct 2025

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