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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

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

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

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agentic-directory": {
      "type": "remote",
      "url": "https://agentic.ai/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "agentic-directory": {
      "type": "http",
      "url": "https://agentic.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agentic-directory&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYWdlbnRpYy5haS9tY3AifQ%3D%3D"
}

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

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

extensions:
  "agentic-directory":
    enabled: true
    name: "agentic-directory"
    type: streamable_http
    uri: "https://agentic.ai/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_agenticness_details (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_tags (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_category (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 2,032 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes3 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

10 tools, about 2,032 tokens to load them all · tool set ff5679194bb0 · tools last changed 2026-10-06 · checked 2026-10-20 06:49 UTC

Tool changes

2026-10-06recommend_toolschangedinput schema
2026-10-06semantic_searchchangedinput schema
2026-10-06search_listingschangedinput schema

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 90 / 100

provenance90

liveness100

freshness65

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-112d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://agentic.ai/mcp` streamable-http	none	yes	100%	362 ms	2025-11-25	2026-10-20

Tools (10)

`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 of one tool's AI agent capabilities. For a quick score, get_listing includes the overall score. For comparing scores, use compare_listings.
`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.
`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'.
`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.
`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.
`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.
`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"
`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 instead. For comparing specific tools, use compare_listings.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.u00dxk2/agentic-directory",
  "title": "Agentic.ai Directory",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://agentic.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "2.0.0",
  "repository": {
    "url": "https://github.com/u00dxk2/agentic-directory",
    "source": "github"
  },
  "websiteUrl": "https://agentic.ai/developers",
  "description": "Independent directory of agentic AI tools — search, compare & recommend via MCP. Read-only."
}