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Alternatives

Products that do what Synapsor Runner does

Give AI agents reviewed database actions, not raw SQL

  1. 1
    Rerun308

    The easiest way to build AI agents for all your tasks

    Jul 2026 · rerun.build

  2. 2

    Let AI agents run your next deal, fundraise or data room

    Jun 2026 · papermark.com

  3. 3

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

    May 2026 · apideck.com

  4. 4

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

    2025

  5. 5

    Build and control voice AI agents via MCP

    Apr 2026

  6. 6

    The email platform your AI agent can operate.

    Mar 2026

  7. 7

    Your context, available to every agent.

    Jul 2026 · in-parallel.com

  8. 8

    Create, backtest, and execute trades directly in Claude.

    2025

  9. 9
    Retrace101

    Debug AI agents by replaying and forking runs

    Jul 2026 · retraceai.tech

  10. 10
    AutoMCP150

    Easily deploy your existing AI agent projects as MCP servers

    2025

  11. 11

    Connect your AI Agent to 400+ business systems in minutes

    Oct 2025

  12. 12

    Let AI agents write & manage your SaaS emails

    Dec 2025

  13. 13
    Dover MCP118

    Run your hiring process from Claude or ChatGPT

    Aug 2026 · dover.com

  14. 14

    Run a fleet of AI agents across your machines

    24d ago · apra-labs.github.io

  15. 15

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

    24d ago · github.com

  16. 16

    The most performant Ads MCP available to use with Your AI

    Mar 2026

  17. 17

    Scale web agents in our cloud, remote control your browser

    Nov 2025

  18. 18IB

    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

  19. 19

    Open-source malware scanner and runtime guard for AI agents

    Jul 2026 · panguard.ai

  20. 20AM

    More than a decade ago, I adopted the self-imposed rule, if I answer a question more than once, the third time I need to be able to answer with a URL. Today, I published one very large URL - a book distilling what I learned from helping people work remotely at GitHub, and I wanted to rethink my rule for the age of AI. What if, instead of a URL, I could create an interactive experience that could tailor the guidance to your particular situation? What I ended up building was an Open and Async Advisor MCP server. To install (in claude or any other AI): > claude mcp add open-async -- npx -y…

    Jul 2026 · github.com

  21. 21RA

    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

  22. 22

    The task layer for your AI agents

    Jun 2026 · superlist.com

  23. 23

    AI that doesn't just chat, it takes actions.

    May 2026

  24. 24
    SpotDB21

    Instant SQL sandboxes for your AI agents

    Oct 2025

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