nowfound

AI · alternatives · 2026

24 alternatives to KeystoneMCP

AI-powered creative project organization

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1

    Make AI IDEs even smarter with your team’s knowledge

    2025 · its alternatives →

  2. 2
    Strata▲652

    One MCP server for AI agents to handle thousands of tools

    2025 · klavis.ai · its alternatives →

  3. 3

    Build production-grade data pipelines with just a prompt

    2025 · keboola.com · its alternatives →

  4. 4

    The fast, Pythonic way to build MCP servers and clients

    Jan 2026 · gofastmcp.com · its alternatives →

  5. 5

    Connect your AI to any app with Zapier MCP

    2025 · zapier.com · its alternatives →

  6. 6
    AutoMCP▲150

    Easily deploy your existing AI agent projects as MCP servers

    2025 · its alternatives →

  7. 7

    Give AI agents secure, real-time access to your files

    2025 · file.ai · its alternatives →

  8. 8

    2,500+ APIs and 10,000+ tools for your AI assistant

    2025 · mcp.pipedream.com · its alternatives →

  9. 9

    Allow AI Agents to help you with Figma designs!

    Jan 2026 · exdst.com · its alternatives →

  10. 10
    CoreSpeedfree tier, from $20/mo▲332

    One MCP for everything your agents need: apps, memory, tools

    28d ago · corespeed.io · its alternatives →

  11. 11

    The curated directory of MCP Resources for Developers

    2025 · its alternatives →

  12. 12
    NitroStackfree tier, from $30/mo▲239

    Build, test, and deploy MCP servers in one place

    14d ago · nitrostack.ai · its alternatives →

  13. 13
    Brainfork▲187

    Own your AI knowledge | Personal MCP server

    2025 · its alternatives →

  14. 14
    Doop▲115

    Design with AI agents - live on the same canvas

    Sep 2026 · doop.design · its alternatives →

  15. 15

    Create, backtest, and execute trades directly in Claude.

    2025 · github.com · its alternatives →

  16. 16
    Pensieve▲133

    Full company context for every AI agent

    Mar 2026 · pensieve.uk · its alternatives →

  17. 17

    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 · its alternatives →

  18. 18
    Palma▲73

    The enterprise layer that unlocks MCP at scale

    Apr 2026 · palma.ai · its alternatives →

  19. 19

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025 · github.com · its alternatives →

  20. 20WM
  21. 21

    MCP server that gives AI the ability to use an iPhone

    Jan 2026 · github.com · its alternatives →

  22. 22OS

    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 · its alternatives →

  23. 23
    0mcp▲20

    Ship MCP Server for your SaaS without engineering overhead

    Aug 2026 · 0mcp.io · its alternatives →

  24. 24AL

    Hi HN friends, we're Nima (nimabanai) and Craig (cbschind) from Assemble Labs (https://assemblelabs.co) building the hardware context layer for AI to help you write better firmware faster. We’ve built an MCP server that plugs into any AI tool you’re using (Cursor, Claude Code, Gemini, etc.) and brings complete hardware context (schematics, datasheets, etc.) to your existing environment (new app fatigue is real...) with accuracy and in real time. Our goal is to make writing and debugging firmware on custom hardware faster and easier. Try out the free beta release:…

    2025 · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →