# Agentic.ai Directory

- Registry name: `io.github.u00dxk2/agentic-directory` · version 2.0.0
- Categories (automatic, keyword rules): Scraping & browsing, Search & data, Build & deploy, Developer tools, Email & messaging, Productivity
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.u00dxk2%2Fagentic-directory
- Server page: https://mcpstation.net/s/io.github.u00dxk2--agentic-directory.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://agentic.ai/mcp`

## Tools (as reported by the server, not verified)

- `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.
- `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 instea
- `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
- `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.
- `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 o
- `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.
- `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.
- `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.
- `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.
- `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\_l

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html