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Products that do what OpenClaw MCP Servers does

9 MCP servers powering AI agents with dev tools

  1. 1
    OpenClaw841

    The AI that actually does things

    Jan 2026 · openclaw.ai

  2. 2

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

    Jul 2026 · codexmarketplaces.com

  3. 3
    KiloClaw871

    Hosted OpenClaw. No Mac mini required.

    Feb 2026 · kilo.ai

  4. 4

    The most user-friendly OpenClaw. Securely hosted.

    Mar 2026

  5. 5
    ZooClaw290

    Your proactive team of AI specialists in one place

    Apr 2026 · zoowork.ai

  6. 6
    Agent 37400

    Your own OpenClaw instance for $3.99/mo

    Mar 2026

  7. 7NC

    I’ve been running Clawdbot for the last couple weeks and have genuinely found it useful but running it scares the crap out of me. OpenClaw has 52+ modules and runs agents with near-unlimited permissions in a single Node process. NanoClaw is ~500 lines of core code, agents run in actual Apple containers with filesystem isolation. Each chat gets its own sandboxed context. This is not a swiss army knife. It’s built to match my exact needs. Fork it and make it yours.

    Feb 2026 · github.com

  8. 8

    Deploy AI Agent, 60 seconds & $0 forever

    26d ago · betterclaw.io

  9. 9

    Power your AI agents with enterprise-ready tools via MCP

    Oct 2025

  10. 10

    Everything in OpenClaw's terminal, you can now do visually

    Apr 2026 · rectify.so

  11. 11
    CoChat261

    Openclaw for Teams that is secure, collaborative, autonomous

    Mar 2026

  12. 12

    Zero-config hosting to launch specialized AI teams instantly

    Feb 2026

  13. 13

    Security scanner for OpenClaw AI agent skills

    Feb 2026

  14. 14OC

    Hi HN, I’m the creator of pycoClaw. I wanted to run OpenClaw-class, platform-agnostic, autonomous agents on MicroPython hardware, but standard tools couldn't handle the scale of the task. pycoClaw is the result, which bridges the gap between high-level AI reasoning and bare-metal execution. The Stack: - PFC Agent (~26k LOC): A full-featured agent that uses an LLM to 'self-program' its own local MicroPython scripts. Once a task is solved, it runs locally without requiring the LLM. - ScriptoStudio IDE: A PWA https://scriptostudio.com designed for the iteration speed required by…

    Mar 2026 · pycoclaw.com

  15. 15OS

    Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge.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

  16. 16

    Launch your own OpenClaw in 1 minute with 1 click

    Feb 2026

  17. 17

    Managed connectors for AI agents: CLI, MCP, audit trails

    Jul 2026 · vernclaw.com

  18. 18PA

    Hi HN, Been hacking on a simple way to run agents entirely inside of a Postgres database, "an agent per row". Things you could build with this: * Your own agent orchestrator * A personal assistant with time travel * (more things I can't think of yet) Not quite there yet but thought I'd share it in its current state.

    Feb 2026 · github.com

  19. 19

    Love OpenClaw? Now ship it to production. Built in Rust.

    Feb 2026

  20. 20MS
  21. 21

    Managed Platform for OpenClawAgents

    Mar 2026

  22. 22

    Your companion for OpenClaw as a Service

    Feb 2026

  23. 23

    First AI agent platform with provable E2E encryption.

    Apr 2026 · privateclaw.dev

  24. 24RL

    Hi HN — I’m building an interoperability layer for AI agents that lets local and remote agents run inside the same network and coordinate with each other. Here is a demo: https://youtu.be/2_1U-Jr8wf4 • OpenClaw runs locally on-device • it connects to remote agents through Hybro Hub • both participate in the same workflow execution The goal is to make agent-to-agent coordination work across environments (local machines, cloud agents, MCP servers, etc). Right now most agent systems operate inside isolated runtimes. Hybro is an attempt to make them composable across boundaries.…

    Apr 2026 · github.com

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