MCP server

Agentic.ai Directory

io.github.u00dxk2/agentic-directory

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

10

Token cost

About 2,444 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agentic-directory https://agentic.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.agentic-directory]
url = "https://agentic.ai/mcp"

Gemini CLI

{"mcpServers":{"agentic-directory":{"httpUrl":"https://agentic.ai/mcp"}}}

Cursor

{"mcpServers":{"agentic-directory":{"url":"https://agentic.ai/mcp"}}}

VS Code

{"servers":{"agentic-directory":{"type":"http","url":"https://agentic.ai/mcp"}}}

Antigravity

agy mcp add agentic-directory https://agentic.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agentic-directory","server_url":"https://agentic.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agentic-directory","server_url":"https://agentic.ai/mcp"}

Tools

• compare_listings ~174 tokens
  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 ~199 tokens
  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
• get_category ~152 tokens
  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.
• get_listing ~180 tokens
  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
• list_categories ~118 tokens
  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.
• list_recent ~134 tokens
  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.
• list_tags ~118 tokens
  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.
• recommend_tools ~508 tokens
  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
• search_listings ~449 tokens
  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 ~412 tokens
  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

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