Manufact vs Probe: Which is Better in 2026?
A comprehensive comparison of Manufact and Probe covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Manufact if:
- →You need production hosting for mcp apps and servers or cross-client testing against chatgpt, claude, and more
Choose Probe if:
- →You need 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge or x402 payment discovery and validation, plus erc-8004 onchain identity checks
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Manufact vs Probe: At a Glance
Pricing Comparison: Manufact vs Probe
Understanding the pricing differences between Manufact and Probe is crucial for making the right choice. Here's how their plans compare side by side.
Probe Pricing
💡 Pricing takeaway: Both Manufact and Probe offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Manufact and Probe stacks up.
What Makes Each Tool Unique
🔵 Unique to Manufact
Features available in Manufact but not in Probe:
- ✓Production hosting for MCP apps and servers
- ✓Cross-client testing against ChatGPT, Claude, and more
- ✓Publishing checks for ChatGPT Apps Store and Cloud Connectors requirements
- ✓Cloud Inspector for tracing, replaying, and debugging live MCP traffic
- ✓Usage, latency, and reliability analytics in one place
- ✓Drop in an existing MCP server unchanged, or scaffold from the SDK
🟣 Unique to Probe
Features available in Probe but not in Manufact:
- ✓44 checks in ~30 seconds with a 0-100 score, letter grade, and README badge
- ✓x402 payment discovery and validation, plus ERC-8004 onchain identity checks
- ✓MCP endpoint discovery, tool declarations, and transport security
- ✓A2A agent.json discovery and skill declaration validation
- ✓EU AI Act Article 14 human oversight, GDPR, and FATF Travel Rule checks
- ✓Up to 24x daily continuous monitoring with automatic email alerts
Use Case Recommendations
Best for: Manufact
Manufact is cloud infrastructure for MCP servers and the ChatGPT and Claude apps built on top of them, wrapped around the open-source mcp-use SDK. The premise is that once an MCP app matters, hosting it is a real operational problem — you need production deploys, distribution to the app surfaces where users are, and enough observability to debug protocol traffic you cannot see from either end. Manufact Cloud handles the deploy, monitor, and distribute loop for MCP apps and servers. Cross-client testing runs the same checks against ChatGPT, Claude, and other clients so behavior differences surface before users find them, and publishing checks audit an app against the ChatGPT Apps Store and Cloud Connectors requirements before submission. A Cloud Inspector traces, replays, and debugs live MCP traffic in production, and analytics roll usage, latency, and reliability into one view. Public chat provides embeddable chat surfaces inside your own product. The path in is flexible: scaffold from the SDK in one command, install a skill into your coding agent, describe the app and let it scaffold, or drop an existing MCP server in unchanged. The open-source tooling has around 10.4k stars and targets ChatGPT, Claude, Gemini Enterprise, Copilot 365, Codex, Cursor, VS Code, and the major agent SDKs.
Ideal use cases:
- •Teams or individuals who need production hosting for mcp apps and servers
- •Teams or individuals who need cross-client testing against chatgpt, claude, and more
- •Teams or individuals who need publishing checks for chatgpt apps store and cloud connectors requirements
- •Teams or individuals who need cloud inspector for tracing, replaying, and debugging live mcp traffic
- •Anyone focused on mcp workflows
- •Anyone focused on chatgpt apps workflows
Best for: Probe
Probe is a compliance scanner for AI agent APIs and MCP servers. You paste a URL and it runs forty-four checks in about thirty seconds, returning a 0-100 score, a letter grade, and a README badge, with no account required. The check set is unusually specific to the agent ecosystem rather than being a generic web scanner with AI branding. It covers the x402 agent payment standard by auto-discovering /.well-known/x402.json and validating payment metadata; MCP endpoint discovery, tool declarations, and transport security; Google's A2A protocol via agent.json discovery and skill declarations; ERC-8004 onchain agent identity registration on Base and Ethereum; and llms.txt and AI plugin discovery. Alongside those it runs conventional infrastructure checks — HSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, CORS, rate limiting, DNSSEC, CAA, DMARC and SPF, TLS, OpenAPI spec validation, API versioning, and Content-Type consistency — plus a regulatory cluster covering EU AI Act human oversight under Article 14, AI disclosure and risk classification, GDPR privacy and data-processing disclosure, FATF Travel Rule VASP disclosure, and ten voice-AI-specific checks for synthetic voice labeling, call recording consent, and operator identity. The grading is framed around listing readiness: A means listing-ready with minor fixes, C means the endpoint will fail x402 validation, D and F mean critical gaps. Subscribing adds up to 24 scans a day with email alerts. The vendor states the product is entirely free with no paid tier, funded by the compliance dataset it builds.
Ideal use cases:
- •Teams or individuals who need 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge
- •Teams or individuals who need x402 payment discovery and validation, plus erc-8004 onchain identity checks
- •Teams or individuals who need mcp endpoint discovery, tool declarations, and transport security
- •Teams or individuals who need a2a agent.json discovery and skill declaration validation
- •Anyone focused on mcp workflows
- •Anyone focused on x402 workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Manufact and Probe aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Manufact better than Probe?
It depends on your needs. Manufact offers 6 key features including Production hosting for MCP apps and servers and Cross-client testing against ChatGPT, Claude, and more, while Probe provides 6 features including 44 checks in ~30 seconds with a 0-100 score, letter grade, and README badge and x402 payment discovery and validation, plus ERC-8004 onchain identity checks. Manufact uses a freemium model with a free tier, while Probe is free with free access available. Choose based on which features and pricing model align with your requirements.
Is Manufact cheaper than Probe?
Both tools have similar pricing structures. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Manufact and Probe together?
Yes, many users combine Manufact and Probe in their workflow. Manufact excels at production hosting for mcp apps and servers, while Probe shines with 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Manufact and Probe?
While both are ai agent infrastructure tools, Manufact emphasizes production hosting for mcp apps and servers, whereas Probe is known for 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge. The best choice depends on your specific workflow and feature priorities.
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