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Life & fun · alternatives · 2026

GS

24 alternatives to GuardiAgent – Sandboxing / permission model for MCP servers

Anthropic's Model Context Protocol (MCP) has made it easy to spin up servers that expose tools and data to LLMs. A lot of these MCP servers run locally because they need access to your files, shell, browser, etc. The problem: they typically run with the same privileges as your user. If a server is buggy, misconfigured, or prompt-injected, it can do anything you can do: read SSH keys, exfiltrate dotfiles, poke around in private repos, etc. Our research group is working on this by adding a security manifest (inspired by the Android app manifest) plus a local policy enforcement engine that…

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

    I started this project because I believe MCP has the potential to transform how AI models interact with external resources, but the ecosystem is still very fragmented. There's no central place to discover and compare all the server implementations available, which makes adoption and experimentation harder for developers. I initially built the GitHub repo awesome-mcp-servers (https://github.com/punkpeye/awesome-mcp-servers/), and it's been amazing to see the community contribute to it. Now, I'm taking it further with a directory that automates many tasks—introspecting…

    2024 · glama.ai · its alternatives →

  2. 2

    Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

    2025 · github.com · its alternatives →

  3. 3

    Hi HN, I'm Matt, founder of MCPJam. We're building open source dev tools for MCP server builders. There’s been a lot of debate around skills vs MCP. From what I see, there’s a growing trend of people using skills paired with MCP servers. Skills teach the agent how to use the MCP server tools and guide the agent to completing complex workflows. We’re also seeing Anthropic encourage the use of Skills + MCP in their products. Anthropic recently launched the connectors marketplace. A good example of this is the Figma connector + skills. The Figma skill teaches the agent how to use the Figma MCP…

    Jan 2026 · mcpjam.com · its alternatives →

  4. 4

    I built ContextGuard after discovering that 43% of MCP servers have critical security vulnerabilities. MCP (Model Context Protocol) is the new standard that lets Claude Clients(Desktop, Windsurf, Cursor, etc.) access external tools and data sources - think of it as a plugin system for AI assistants. The problem: When you give those clients access to your filesystem, databases, or APIs through MCP servers, you're opening up serious attack vectors. Prompt injection, data leakage, and path traversal attacks are all possible. Most developers building MCP servers don't have security expertise,…

    2025 · github.com · its alternatives →

  5. 5

    Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.

    2025 · mcp-cloud.ai · its alternatives →

  6. 6
    Preloop▲121

    Hey HN, I’m Yannis, co-founder of Preloop. We’ve built a proxy for the Model Context Protocol (MCP) that lets you add human approval gates to your AI agents without changing your agent code. We’re building agents that use tools (Claude Desktop, Cursor, etc.), but we were terrified to give them write-access to sensitive systems (Stripe, Prod DBs, AWS). We didn't want to rewrite our agents to wrap every tool call in complex "ask_user" logic, especially since we use different agent runtimes. We built Preloop as a middleware layer. It acts as a standard MCP server proxy.You point your agent to…

    Jan 2026 · preloop.ai · its alternatives →

  7. 7

    Hi HN, I wrote a book on the Model Context Protocol (MCP) – the open standard from Anthropic that lets AI agents connect to external tools and data sources. I'm an RPA/automation practitioner (CEO of Niuexa, LinkedIn Learning instructor) and I noticed there was no comprehensive resource covering MCP architecture, security patterns, and enterprise deployment strategy. So I wrote one. The book covers: - MCP architecture deep dive (servers, clients, hosts, transport layers) - 20-point security checklist for MCP deployments - EU AI Act compliance for agentic systems - Real-world breach…

    Nov 2025 · blueprint-mcp.railsblueprint.com · its alternatives →

  8. 8

    Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them

    2025 · twitter.com · its alternatives →

  9. 9

    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 →

  10. 10

    This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude&#x2F;GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location &#x2F;…

    2025 · github.com · its alternatives →

  11. 11

    Give LLMs access to web accessibility testing APIs

    Jan 2026 · github.com · its alternatives →

  12. 12OS

    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 →

  13. 13

    You can read more about EQTY Lab's enterprise-focused usage of this tooling here: https:&#x2F;&#x2F;www.eqtylab.io&#x2F;blog&#x2F;securing-model-context-protocol

    Dec 2025 · guardianmcp.dev · its alternatives →

  14. 14

    Hi HN -- Since Anthropic announced the Model Context Protocol (MCP) last week [1], I've been excited about giving Claude new capabilities through my custom servers. But while MCP is powerful, implementing the protocol correctly requires a lot of low-level boilerplate code. I found myself wanting something like FastAPI - a high-level framework that would let me focus on building features, not servers. After some hacking, I'm sharing FastMCP: a Pythonic framework for building MCP servers. FastMCP uses decorators to transform normal functions into MCP tools, resources, templates, and prompts,…

    2024 · github.com · its alternatives →

  15. 15
    Spanly▲77

    Hi HN, I'm Tim, solo founder of Spanly (https:&#x2F;&#x2F;spanly.com). I spent the last year working on MCP gateways, and debugging them with nothing better than HTTP-level APM was painful. Spanly runs its own MCP server and monitors it with itself, so I've been the first user of everything below. Spanly is observability for MCP servers, the protocol that lets agents like Claude and Cursor call your product's tools. It's a sidecar proxy, so it works with any language and requires zero code changes. Live demo (no signup): https:&#x2F;&#x2F;app.spanly.com&#x2F;share&#x2F;demo Sidecar source…

    Jun 2026 · spanly.com · its alternatives →

  16. 16

    Connect any AI model to 1200+ integrations (MCP, CLI, API) - metorial/metorial

    2025 · github.com · its alternatives →

  17. 17

    Hey everyone, I've wanted an easy way to control which mcp server tools are available to clients. So for example, I might want a gmail server to only expose the read tool (but not send, delete etc). I figured if I create a cli for spawning mcp servers, I could intercept the stdin, stdout, stderr etc and modify what the clients see when they are making calls to list tools, resources, and prompts. Well it worked! In the initial version you can easily add a server to claude with a safe list of tools: npx -y mcpgod add @modelcontextprotocol&#x2F;server-everything --client claude --tools=echo,add…

    2025 · github.com · its alternatives →

  18. 18

    A comprehensive Model Context Protocol (MCP) server implementing the latest specification. - hemanth/paws-on-mcp

    2025 · github.com · its alternatives →

  19. 19

    Local-first MCP mini-vault: let AIs call external APIs without ever seeing your keys. - RachidChabane/mcp-secrets-vault

    2025 · github.com · its alternatives →

  20. 20

    Anthropic released the Model Context Protocol a couple weeks ago - https:&#x2F;&#x2F;www.anthropic.com&#x2F;news&#x2F;model-context-protocol. They have official sdks for python and typescript but nothing for go, so I wrote one! The main goal is to provide a low boilerplate sdk to write MCP servers, you can spin up a server which can give an LLM access to weather forecasts like this: https:&#x2F;&#x2F;github.com&#x2F;metoro-io&#x2F;mcp-golang&#x2F;blob&#x2F;main&#x2F;examples&#x2F;g... . Using it here: https:&#x2F;&#x2F;youtu.be&#x2F;xaMkMl_R-0A The library handles generating all the MCP…

    2024 · github.com · its alternatives →

  21. 21

    Problem: LLMs need context data to give accurate answers and thousands of great publicly available datasets remain vastly unexploited. Anthropic’s MCP servers are awesome, but we need many more servers and an easy way to discover them. What if it took only one command to connect any LLM to any open dataset? Open Data MCP, a 2-in-1 solution: 1. Access Open Data: - 10 seconds setup to query any integrated Open Data MCP server from Claude (and more to come) - Simple CLI tool 2. Access Open Data: - Create your own Open Data MCP server(s) - Get templates, guides, and community - Get instant…

    2024 · github.com · its alternatives →

  22. 22

    Hi HN, my name is Philip, I’m the co-founder of Glasskube and one of the creators of HyprMCP. This project started when we did what everyone was doing — building a remote MCP server and launching it. Building the first local MCP server for testing was quite simple, and we had our first tools ready within a day. The next step was turning that into a production-ready remote MCP server. As we exposed the MCP server to our users, we wanted to authenticate them with our existing authentication methods. We dove deep into authentication. Our approach was to build an auth proxy and plug it in front…

    2025 · github.com · its alternatives →

  23. 23

    A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more. - apify/mcpc

    Jan 2026 · github.com · its alternatives →

  24. 24ST

    Hi! After learning about MCP, I'm really excited about the future of provider-agnostic, re-usable tooling. Unfortunately I've found that while it's easy to implement an MCP server for use with tools that support it (such as Claude Desktop), it's not as easy to implement your own support (such as integrating an MCP server into your own LLM application). We implemented a thin MCP wrapper that easily integrates with Mirascope calls so that you can hook up an MCP server and client super easily to any supported LLM provider. Excited to see what people build with this!

    2025 · mirascope.com · its alternatives →

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