nowfound

AI · alternatives · 2026

24 alternatives to Warehousd: MCP-ready governed data layer

Give AI agents your company data. Only what they can see.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Pensieve▲133

    Full company context for every AI agent

    Mar 2026 · pensieve.uk · its alternatives →

  2. 2

    Make AI IDEs even smarter with your team’s knowledge

    2025 · its alternatives →

  3. 3

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

    May 2026 · apideck.com · its alternatives →

  4. 4

    Connect AI agents to governed metadata via MCP

    Jan 2026 · dawiso.com · its alternatives →

  5. 5
    Velvet▲217

    Warehouse AI requests with 2 lines of code

    2024 · usevelvet.com · its alternatives →

  6. 6

    Hi HN, Gabriel, Co-Founder at Permit.io. We're releasing Permit MCP Gateway today, an authorization proxy for MCP servers. TL;DR - we built an MCP Gateway that developers love and CISOs trust. Watch more[0] Now, after your little hate on using fancy copy on HN, to the real thing: MCP is in a strange place. Developers are debating whether it's overcomplicated compared to CLIs or skills files. Meanwhile, enterprises are adopting it by default because every agentic system that acts on your behalf, Cursor, Claude, Copilot, internal agents, needs a stable infrastructure for connecting to tools.…

    Mar 2026 · permit.io · its alternatives →

  7. 7

    Your agent needs more than your repo

    Sep 2026 · buddy.works · its alternatives →

  8. 8

    Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a production-grade Model Context Protocol (MCP) execution proxy. How It Works: Unified Context: Instead…

    Aug 2026 · salestrics.com · its alternatives →

  9. 9

    The memory layer for AI agents

    Jul 2026 · kitforai.com · its alternatives →

  10. 10

    AI agents are proliferating across your org with zero governance. Skills gives you security, visibility, and control over every agent, skill, and MCP server, across every tool and team.

    2016 · deployhub.io · its alternatives →

  11. 11
    Custosa▲15

    Permission and compliance layer for Enterprise AI

    Mar 2026 · custosa.com · its alternatives →

  12. 12

    At my last company, we connected Claude Code and Cursor to almost all our internal services via MCP. It made the team incredibly fast, but we hit a wall: permissions. If you give an agent "Read Only" access, it can’t actually fix anything. If you give it "Write" access, it’s only a matter of time before a hallucination or a bad prompt results in a deleted database or a nuked production bucket. We had a few "close calls" that convinced us that simply reducing IAM permissions makes agents useless. I built Armour (https://github.com/fuushyn/armour) to solve this. It’s a…

    Jan 2026 · github.com · its alternatives →

  13. 13

    Dedicated infrastructure for AI agent fleets — email, phone, web search, file storage, page hosting, 2FA, cron, and encrypted vault on domains reserved exclusively for your project. Access by arrangement.

    Mar 2026 · keyid.ai · its alternatives →

  14. 14

    Run Lanes Link as your own personal context MCP: your accounts, memory, skills and secrets behind one endpoint you host, reachable by every AI agent you use.

    Sep 2026 · lanes.sh · its alternatives →

  15. 15

    Hi HN, We’re building security tooling around agentic AI systems. Today, we're releasing our public MCP catalog with detailed risk analysis for every MCP server we've found on the internet: https://mcp.armor1.ai/mcp-directory We all love agents and the power that MCPs unlock: suddenly your AI assistant can query databases, manage files, call APIs, and interact with the real world. But when we started adopting MCPs ourselves, we kept running into the same nagging questions: Is this MCP safe? Where is my data actually going? Could it execute destructive actions? Is it…

    Feb 2026 · mcp.armor1.ai · its alternatives →

  16. 16
    SpotDB▲21

    Instant SQL sandboxes for your AI agents

    2025 · github.com · its alternatives →

  17. 17

    Hello HN! If you want to connect your agent to a database (say, to build a data analyst chatbot or any kind of agentic app) today you have 2 options: an SQL MCP server or a semantic layer. SQL MCP is the easiest path to setup, especially if you also have a .md knowledge base which the agent can update. It gets quite messy quickly though, especially if there's many interactions or DB is large. Generated SQL is hard to review if you want to understand where the numbers came from, and related queries can be hard to align and compare. The natural alternative is a semantic layer, which is an…

    May 2026 · github.com · its alternatives →

  18. 18
    Utter▲14

    Plan the work. Ship it with your AI agents.

    Jul 2026 · taskfolk.ai · its alternatives →

  19. 19

    The authorization layer for AI agent spending

    Aug 2026 · paitify.io · its alternatives →

  20. 20
    Milkey▲8

    One MCP. Unlimited premium AI agent skills.

    Mar 2026 · milkeyai.com · its alternatives →

  21. 21

    Hey HN, I just spent the last few weeks building a database for agents. Over the last year I built PostHog AI, the company's business analyst agent, where we experimented on giving raw SQL access to PostHog databases vs. exposing tools/MCPs. Needless to say, SQL wins. I left PostHog 3 weeks ago to work on side-projects. I wanted to experiment more with SQL+agents. I built an MVP exposing business data through DuckDB + annotated schemas, and ran a benchmark with 11 LLMs (from Kimi 2.5 to Claude Opus 4.6) answering business questions with either 1) per-source MCP access (e.g. one Stripe…

    Apr 2026 · github.com · its alternatives →

  22. 22

    Bridging the data Infrastructure gap for AI. Ensure AI data governance, make AI training and agent runs reproducible, reduce access friction.

    May 2026 · lakefs.io · its alternatives →

  23. 23

    We’re building an open-source tool that makes it easy to expose secure, LLM-optimized APIs on top of your structured data—without manually designing endpoints or worrying about compliance. AI agents and LLM-powered applications need structured access to data, but traditional APIs and databases weren’t built with AI workloads in mind. Our tool automatically generates APIs that: - Filter out PII & sensitive data to comply with GDPR, CPRA, SOC 2, and other regulations. - Provide traceability & auditing, so AI apps aren’t black boxes, and security teams stay in control. - Optimize for AI…

    2025 · github.com · its alternatives →

  24. 24

    I was tired of asking my claude code to reference my codex chats to get references to what decisions it made and why ; so I built Reference MCP It, whenever prompted establishes sessions to get direct access - been using it on my system for a bit and was super helpful so I made a repo :) Would love feedback!

    Jun 2026 · github.com · 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 →