Criterion — semantic search across Quranic verses and authentic Hadiths for precise Islamic guidance, study, and researc
by Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Shadcn io
MCP server connects Claude and AI coding tools to shadcn/ui components. Accurate TypeScript props and React component da
Specif-ai
Specif-ai ensures secure web API access and robust error handling, making it a top choice among API security companies f
Screenshot Capture
Capture screenshots across macOS, Windows, and Linux using advanced screen capture and recording software for analysis,
Context7
Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y
Desktop Commander MCP
Terminal control, file system search, and diff-based file editing for Claude and other AI assistants. Execute shell comm
According to our notes, Criterion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Criterion is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Criterion into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Criterion for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Criterion is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Criterion has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Criterion is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Criterion into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Criterion reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Criterion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"criterion": {
"url": "https://criterion.life/api/mcp",
"env": null,
"headers": null
}
}
}Provides semantic search across 6,236 Quran verses and 21,641 authentic Hadiths from major Islamic collections to deliver Islamic guidance based on verified sources.
Criterion is a community-built MCP server published by balajsaleem that provides AI assistants with tools and capabilities via the Model Context Protocol. Criterion — semantic search across Quranic verses and authentic Hadiths for precise Islamic guidance, study, and researc It is categorized under ai ml, developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
You can install Criterion in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.