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Agentic.ai Directory MCP Server

by u00dxk2 Your server? Claim it
answering

Agentic.ai Directory is answering right now. Last checked 12 min ago. It exposes 10 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 51 days of history · worst day 98%
51 days agonow
100.0%
Uptime 24h
91 of 91 checks
10
Tools
read from the server
524 ms
Response time
average over 24h
open, no key
Access
streamable-http

Agentic.ai Directory missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add agentic-directory --transport http https://agentic.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "agentic-directory": {
      "url": "https://agentic.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.agentic-directory]
url = "https://agentic.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "agentic-directory": {
      "url": "https://agentic.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "agentic-directory": {
      "url": "https://agentic.ai/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

agenticness
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.
categories
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.
category
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.
compare
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.
listing
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'.
listings
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.
recent
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
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"
semantic
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.
tags
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.

Endpoints

URLTransportStateLatencyChecked
https://agentic.ai/mcp streamable-http answering 260 ms 12 min ago

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Agentic.ai Directory — questions

Answers built from our own checks of this server.

What can Agentic.ai Directory do?
It exposes 10 tools, read directly from the server on our last check. Among them: compare_listings, get_agenticness_details, get_category, get_listing, list_categories, list_recent and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Agentic.ai Directory working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 524 ms. The bar chart above shows every period we have measured.
Is Agentic.ai Directory still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Agentic.ai Directory?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Agentic.ai Directory need an API key?
No. Agentic.ai Directory completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Agentic.ai Directory?
It answers our handshake in 524 ms on average, which is faster than 29% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.