# Agentic.ai Directory MCP server

Independent directory of agentic AI tools — search, compare & recommend via MCP. Read-only.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-u00dxk2-agentic-directory
- Repository: https://github.com/u00dxk2/agentic-directory
- Website: https://agentic.ai/developers

## Install
- Endpoint: https://agentic.ai/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://agentic.ai/mcp

## Tools
- search_listings - Search for agentic AI tools by keyword query with optional filters. Use this for keyword-based search. For natural language queries like 'something that automates email', use semantic_search instead. For browsing all tools in a category, use get_category instead. Endpoint: https://agentic.ai/mcp
- semantic_search - Search for AI tools using natural language with AI-powered semantic matching. Best for conceptual queries like 'something that automates my email workflow'. Supports structured filters to narrow results (e.g., openSource + deploymentModel). For exact name/keyword searches, use search_listings instead. For comparing specific tools, use compare_listings. Endpoint: https://agentic.ai/mcp
- get_listing - Get full details for one specific AI tool by its slug — includes features, pricing, agenticness scores, and structured attributes. Use this when you know the exact tool slug. To find a slug, use search_listings first. For comparing two tools, use compare_listings. Note: null on boolean fields means 'unknown', false means 'confirmed no'. Endpoint: https://agentic.ai/mcp
- compare_listings - Compare exactly two AI tools side-by-side. Returns structured field matrix and 'Choose A if... Choose B if...' verdict. Use this when a user wants to decide between two specific tools. For finding tools first, use search_listings or semantic_search. Endpoint: https://agentic.ai/mcp
- get_agenticness_details - Get the full agenticness evaluation breakdown: 9 dimensions (action capability, autonomy, planning, adaptation, state continuity, reliability, interoperability, safety, operator sovereignty) scored 0-4 each (max 36, Agenticness rubric v3.1) with evidence-based reasoning. Use this for deep analysis of one tool's AI agent capabilities. For a quick score, get_listing includes the overall score. For comparing scores, use compare_listings. Endpoint: https://agentic.ai/mcp
- list_categories - Get all categories with descriptions and listing counts. Use this to discover what categories exist before filtering. To get listings IN a category, use get_category with the slug. Categories are split into PEOPLE (individual use) and TEAMS (team/enterprise) cohorts. Endpoint: https://agentic.ai/mcp
- get_category - Get all published listings in one specific category, sorted by agenticness score. Use this to browse a category. To see all categories first, use list_categories. To search across ALL categories, use search_listings or semantic_search. Endpoint: https://agentic.ai/mcp
- list_tags - Get all tags grouped by type (pricing, platform, capability, deployment, model, autonomy, use-case). Use this to discover available filter values. Tags can be used as filters in search_listings. This does NOT return listings — use search_listings or get_category for that. Endpoint: https://agentic.ai/mcp
- list_recent - Get the most recently added AI tool listings, sorted by creation date. Use this to see what's new. For finding specific tools, use search_listings. For browsing by category, use get_category. Endpoint: https://agentic.ai/mcp
- recommend_tools - Get AI-powered tool recommendations for a specific need. This is the recommended starting point — describe what you're looking for in natural language and get curated, ranked results with explanations. Handles search, filtering, scoring, and ranking in one call. Use this instead of chaining search_listings + get_listing + compare_listings.

Examples:
- "best coding agent for a small startup on a budget"
- "open source alternative to Cursor for VS Code"
- "autonomous customer support agent with MCP support"
- "self-hosted data analysis tool for enterprise" Endpoint: https://agentic.ai/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.u00dxk2
- Version: 2.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 29, 2026
- Source: https://registry.modelcontextprotocol.io