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    A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.
    MIT
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    An MCP server for validating JSON against schemas, checking email deliverability, verifying URLs, assessing data quality, and validating API responses using RFC-compliant checks and heuristic analysis.
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    MIT
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    Webhook management and debugging. Validate signatures, log events, replay, and analyze webhook traffic.
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    Provides implementation guidance, code validation, and troubleshooting tools for Searchspring's e-commerce APIs including search, autocomplete, recommendations, and tracking. Helps developers properly integrate Searchspring functionality with platform-specific code examples and best practices.
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    So I tried out this cool tool I saw in a LinkedIn post https://openapitools.com All you need is your API schema (OpenAPI/Swagger), and it automatically generates an MCP schema for you. You can then drop it straight into Claude Desktop (or Cursor, LangChain, etc.) and instantly start chatting with
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    One workspace for every AI coding assistant. Governance tools for API lint, diff, persistent ledger, multi-model deliberation, security audit, and test verification. Works with Claude Code, Codex, Cursor, and Gemini CLI.
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    MIT
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    The Stripe Model Context Protocol server allows you to integrate with Stripe APIs through function calling. This protocol supports various tools to interact with different Stripe services.
    10,572
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    A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.
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    MIT
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    Transforms Swagger/OpenAPI documented APIs into conversational interfaces, enabling natural language interaction with APIs through an MCP server for use with AI assistants.
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    MIT
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    Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.
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    Apache 2.0
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    A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.
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    A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.
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    MIT