Connect Agentic.ai Directory and your agent gets 10 tools, among them compare_listings, get_agenticness_details, get_category. It answers at https://agentic.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 24 October 2026, succeeded.
Independent directory of agentic AI tools — search, compare & recommend via MCP. Read-only.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 semanti Inputs: slug1, slug2 |
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) Inputs: slug |
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. Inputs: slug |
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 tool Inputs: slug |
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 |
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. Inputs: limit |
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_li |
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, an Inputs: question, constraints |
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, us Inputs: query, category, cohort, openSource, mcpSupport, deploymentModel |
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). Inputs: query, category, cohort, openSource, deploymentModel, mcpSupport |
Every block below points at https://agentic.ai/mcp. Pick your client and copy.
claude mcp add --transport http agentic-ai-directory https://agentic.ai/mcp
{
"mcpServers": {
"agentic-ai-directory": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://agentic.ai/mcp"]
}
}
}{
"mcpServers": {
"agentic-ai-directory": {
"url": "https://agentic.ai/mcp"
}
}
}{
"servers": {
"agentic-ai-directory": {
"type": "http",
"url": "https://agentic.ai/mcp"
}
}
}{
"context_servers": {
"agentic-ai-directory": {
"url": "https://agentic.ai/mcp"
}
}
}{
"mcpServers": {
"agentic-ai-directory": {
"serverUrl": "https://agentic.ai/mcp"
}
}
}{
"mcpServers": {
"agentic-ai-directory": {
"url": "https://agentic.ai/mcp"
}
}
}name: Agentic.ai Directory
version: 0.0.1
schema: v1
mcpServers:
- name: Agentic.ai Directory
type: streamable-http
url: https://agentic.ai/mcp{
"mcpServers": {
"agentic-ai-directory": {
"httpUrl": "https://agentic.ai/mcp"
}
}
}{
"mcpServers": {
"agentic-ai-directory": {
"type": "http",
"url": "https://agentic.ai/mcp"
}
}
}{
"mcpServers": {
"agentic-ai-directory": {
"url": "https://agentic.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fagentic.ai%2Fmcp&type=streamable_http&id=agentic-ai-directory&name=Agentic.ai%20Directory
It answered our last check on 24 October 2026 in 623 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
10, as returned by the server's own tools/list on 22 September 2026: compare_listings, get_agenticness_details, get_category, get_listing, list_categories, list_recent, list_tags, recommend_tools, and 2 more.
It answered our last check on 24 October 2026 in 623 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://agentic.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.u00dxk2. Endpoint host: agentic.ai. ARD identifier: urn:air:io.github.u00dxk2:mcp:agentic-directory.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.