Hosted REA and Website Builder MCP for ChatGPT and Claude
Explore hosted REA MCP for authorized software analysis and our coming-soon website builder for ChatGPT and Claude, from a brief to a reviewed preview.
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REA: Reverse Engineering with ChatGPT, Claude, and MCP
Learn how REA connects software analysis to ChatGPT, Codex, and Claude through local MCP, with an authorized Electron example and practical setup steps.
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Self-hosted vs managed MCP server: a decision guide for product teams
Compare self-hosted and managed MCP servers across ownership, security, costs, and maintenance. Use six questions to choose the right setup for your team.
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MCP for SaaS: what it costs, who it is for, and what you get
Understand MCP integration costs for SaaS: setup, authentication, documentation, hosting, and maintenance, with published prices and worked examples.
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How to connect your API to ChatGPT
Connect your API to ChatGPT using GPT Actions or an MCP server. Compare the options, add an optional app interface, and test a complete customer workflow.
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MCP server hosting: self-hosted, platform, or managed?
Compare self-hosted, platform, and managed MCP hosting. Review costs, security, maintenance, and who owns the endpoint after your first demo.
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Add AI Project Status Reports to Your SaaS with MCP
Turn project tasks, deadlines, and blockers into useful AI status reports. Design an MCP workflow with clear scope, source links, and permission checks.
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Make Your Ecommerce Shop Available in ChatGPT and Claude
Let customers search your inventory, compare products, add to cart, and check out. Learn how an MCP server brings your ecommerce shop into ChatGPT and Claude.
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MCP vs REST API: Where Each Fits in Your SaaS Architecture
Learn when to keep a direct API integration, when an MCP adapter helps assistants, and how to share business rules without creating a second backend.
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MCP Tool Pagination: Help Assistants Handle Large Result Sets
Design paginated MCP tools with continuation tokens, bounded results, permission checks, and honest answers when only part of a dataset is available.
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Testing an MCP integration: build a realistic evaluation set
Build an MCP evaluation set around user goals, synthetic fixtures, allowed actions, observable outcomes, and repeatable tests of ambiguity and failure.
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MCP tool errors: distinguish empty results, invalid input, and unavailable services
Design MCP tool responses that tell assistants when to adjust inputs, report no matches, wait, or stop, with concrete examples and a practical test checklist.
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Idempotency for agent actions: design retries without duplicate bookings
Prevent duplicate bookings and orders with idempotent MCP tools. Design stable operation IDs, payload checks, concurrent retries, and recovery.
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MCP OAuth: authentication, authorization, and content access
Learn how MCP OAuth connects ChatGPT and Claude to private content, with clear consent, token validation, scopes, and record-level permission checks.
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Read-only MCP tools still need permissions: a practical design guide
Design read-only MCP tools with record access checks, limited output fields, scoped search, and concrete tests for cross-account data exposure.
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How to write MCP tool descriptions that help assistants choose correctly
Write clearer MCP tool descriptions with a before-and-after example, a reusable template, precise input guidance, and a practical evaluation checklist.
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OpenAPI to MCP: what can be automated, and what still needs design
Learn what an OpenAPI-to-MCP converter can reuse, where mappings need review, and how to validate a generated integration with a concrete search example.
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How to choose which API actions to expose as MCP tools
Choose your first MCP tools with a practical workflow: map customer requests, separate reads from writes, define results, and test failure cases.
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From navigating to asking: how chat is quietly replacing the way people use the web
Explore how conversational assistants change the way people use the web, and what service owners need to make their products usable through chat.
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From plugins to MCP: how agents are changing the way people use your service
Understand how MCP servers, apps, and connectors let assistants use your service, and what this means for teams that own APIs and customer workflows.
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