Agentic.ai Directory

Working · 939 ms

io.github.u00dxk2/agentic-directoryv2.0.0

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

AI & Agents

Source Website Registry entry

Maintain this server? Claim it

Try it

Call this server's tools from your browser. Nothing to install.

https://agentic.ai/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

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.

slug1string, required

First tool's slug (e.g. 'cursor')

slug2string, required

Second tool's slug (e.g. 'claude-code')

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Tools (10)

compare_listings

Argument	Type	Description
slug1*	string	First tool's slug (e.g. 'cursor')
slug2*	string	Second tool's slug (e.g. 'claude-code')

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug1",
    "slug2"
  ],
  "properties": {
    "slug1": {
      "type": "string",
      "description": "First tool's slug (e.g. 'cursor')"
    },
    "slug2": {
      "type": "string",
      "description": "Second tool's slug (e.g. 'claude-code')"
    }
  },
  "additionalProperties": false
}

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.

Argument	Type	Description
slug*	string	The listing slug

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "The listing slug"
    }
  },
  "additionalProperties": false
}

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.

Argument	Type	Description
slug*	string	The category slug (e.g. 'coding-agents', 'general-purpose-agents')

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "The category slug (e.g. 'coding-agents', 'general-purpose-agents')"
    }
  },
  "additionalProperties": false
}

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'.

Argument	Type	Description
slug*	string	The listing slug (e.g. 'cursor', 'claude-code', 'openclaw')

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "The listing slug (e.g. 'cursor', 'claude-code', 'openclaw')"
    }
  },
  "additionalProperties": false
}

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.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}

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.

Argument	Type	Description
limit	number	Number of listings to return

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Number of listings to return"
    }
  },
  "additionalProperties": false
}

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.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}

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"

Argument	Type	Description
question*	string	Natural language description of what you need. Be specific about your use case, team size, budget, deployment preferences, etc.
constraints	object	Optional structured constraints to narrow results

Input schema (JSON)

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "maxLength": 500,
      "description": "Natural language description of what you need. Be specific about your use case, team size, budget, deployment preferences, etc."
    },
    "constraints": {
      "type": "object",
      "properties": {
        "category": {
          "type": "string",
          "description": "Category slug to filter by (e.g. 'coding-agents', 'customer-support')"
        },
        "maxResults": {
          "type": "number",
          "default": 5,
          "maximum": 10,
          "minimum": 1,
          "description": "Number of recommendations to return"
        },
        "mcpSupport": {
          "type": "boolean",
          "description": "Require MCP (Model Context Protocol) support"
        },
        "openSource": {
          "type": "boolean",
          "description": "Require open source tools"
        },
        "selfHosted": {
          "type": "boolean",
          "description": "Require self-hosted/on-premise deployment"
        },
        "minRelevanceScore": {
          "type": "integer",
          "maximum": 100,
          "minimum": 0,
          "description": "Drop recommendations whose relevanceScore (0-100) is below this floor. Use to suppress weak matches."
        }
      },
      "description": "Optional structured constraints to narrow results",
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

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.

Argument	Type	Description
limit	number	Max results to return
query*	string	Search query (e.g. 'code review', 'open source coding agent')
cohort	string	Filter by cohort: PEOPLE (individual tools) or TEAMS (team/enterprise tools)
category	string	Filter by category slug (e.g. 'coding-agents', 'general-purpose-agents')
minScore	number	Minimum agenticness score (default 1 to exclude unscored/junk entries, set to 0 to include all)
mcpSupport	boolean	Filter to tools with MCP (Model Context Protocol) support
openSource	boolean	Filter to open-source tools only
autonomyLevel	string	Filter by autonomy level
deploymentModel	string

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.

Argument	Type	Description
limit	number	Max results to return
query*	string	Natural language search query
cohort	string	Filter by cohort
category	string	Filter by category slug
minScore	number	Minimum agenticness score (0-36)
mcpSupport	boolean	Filter by MCP (Model Context Protocol) support
openSource	boolean	Filter by open source status (true/false)
autonomyLevel	string	Filter by autonomy level
deploymentModel	string	Filter by deployment model