AI · alternatives · 2026
24 alternatives to OQP – A verification protocol for AI agents
As AI agents autonomously write and deploy code, there's no standard for verifying that what they shipped actually satisfies business requirements. OQP is an attempt to define that standard. It's MCP-compatible and defines four core endpoints: - GET /capabilities — what can this agent verify? - GET /context/workflows — what are the business rules for this workflow? - POST /verification/execute — run a verification workflow - POST /verification/assess-risk — what is the risk of this change? The analogy we keep coming back to: what OpenAPI did for REST APIs,…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
2025 · github.com · its alternatives →
- 2
Skip migration and launch MCP with built-in Auth
Nov 2025 · arcade.dev · its alternatives →
- 3
Power your AI agents with enterprise-ready tools via MCP
2025 · merge.dev · its alternatives →
- 4
Author here! Agents are applying to jobs for people right now, with progressively more volume, and there's nothing built for it. So they scrape career pages and fight ATS forms with Playwright/Browser Use, which breaks constantly (or they get bot blocked). Employers get buried in applications that don't fit, candidates hear nothing back, and the resume is now an AI-written thing that another AI scores (which breaks the existing model entirely, btw). OJCP is MCP tools for search and apply, a manifest at /.well-known/ojcp.json so agents can find providers, and schemas that…
Aug 2026 · ojcp.dev · its alternatives →
- 5
Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…
Feb 2026 · mnemom.ai · its alternatives →
- 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
API to MCP▲195Turn any API into an MCP server for AI agents
Jun 2026 · apitomcp.ai · its alternatives →
- 8
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 →
- 9
Global APIs as MCP powered by AI Gateway
2025 · mcp.higress.ai · its alternatives →
- 10
Open-source Computer Use MCP for AI agents
May 2026 · github.com · its alternatives →
- 11
The internet-native payment standard for AI agents
Mar 2026 · mpp.dev · its alternatives →
- 12
0xAudit▲110The security layer for AI agents to scan, fix verify via MCP
Feb 2026 · 0-x-audit.com · its alternatives →
- 13
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 →
- 14
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 →
- 15
Access Stack Overflow trusted technical questions & answers
Nov 2025 · api.stackexchange.com · its alternatives →
- 16
MCP Cloud▲52Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.
2025 · mcp-cloud.ai · its alternatives →
- 17
MCP Guardian▲12You can read more about EQTY Lab's enterprise-focused usage of this tooling here: https://www.eqtylab.io/blog/securing-model-context-protocol
Dec 2025 · guardianmcp.dev · its alternatives →
- 18
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 →
- 19
Model Context Protocol (MCP) is a new open standard that gives AI agents a universal interface to external tools and data. Discover how MCP empowers more powerful, autonomous AI assistants to perform real-world tasks seamlessly.
2024 · agnt.one · its alternatives →
- 20
Truelist MCP▲14Email validation for AI agents — hosted MCP, no keys
Sep 2026 · truelist.io · its alternatives →
- 21
TLDR: OpenAPI-MCP is a Dockerized server that dynamically generates Model Context Protocol (MCP) tool definitions directly from your Swagger/OpenAPI documentation. It allows your AI agent to seamlessly access any API without additional coding, streamlining development and eliminating repetitive manual setup. For more details, code updates-----: GitHub: ckanthony/openapi-mcp Docker Hub: ckanthony/openapi-mcp
2025 · github.com · its alternatives →
- 22
Hey folks, I've been building AI agents that need to talk to various APIs, and I got tired of writing custom integrations for every service. So I built the MCP-OpenAPI Server to solve this problem! It's a simple bridge that lets AI agents discover and use our existing OpenAPI endpoints through the Model Context Protocol. No need to write custom code for each service - just point it at the OpenAPI specs, choose which endpoints to expose, and you're good to go. What makes this different from other MCP servers is that it uses SSE transport instead of stdio, making it work well for multi-tenant…
2025 · github.com · its alternatives →
- 23MC
Hey HN, OpenAI released the Agents SDK yesterday, which is great because of its simplicity. I just added MCP support for it, which is currently available as a fork here: https://github.com/lastmile-ai/openai-agents-mcp (and on pypi as the openai-agents-mcp package). You can specify the names of MCP servers to give an Agent access to by setting its `mcp_servers` property. The Agent will then automatically aggregate tools from the MCP servers, as well as any `tools` specified, and create a single extended list of tools. This means you can seamlessly use MCP servers, local…
2025 · its alternatives →
- 24
Also compare
- Mcp-Agent – Build effective agents with Model Context Protocol alternatives
- Secure MCP Framework by Arcade.dev alternatives
- Merge Agent Handler alternatives
- OJCP – an open protocol for agent-consumable job data alternatives
- Trust Protocols for Anthropic/OpenAI/Gemini alternatives
- Permit MCP Gateway alternatives
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 →