AI & Machine Learning

tooldirectory.ai

Search and retrieve information about AI tools from a directory, including details, status, alternatives, and comparisons.

1 endpoint6 known toolsFirst detected July 6, 2026Last detected August 16, 2026

ENDPOINT 1

https://tooldirectory.ai/api/mcp

No auth detected

MCP server metadata

Name: tooldirectory-ai
Version: 1.0.0

Capabilities

tools

Server instructions

Read-only access to the AI Tool Directory catalog. Use check_tool_status before recommending a tool to confirm it still exists.

Known tools 6

search_tools

Search the AI Tool Directory catalog (2,000+ AI tools) by keyword, use case, or category using hybrid semantic search.

Inferred read-only

get_tool

Get the full profile of one AI tool by its directory slug: description, pricing, key features, editorial verdict and rating, the date it was last human-verified, lifecycle status, and the official site URL.

Inferred read-only

check_tool_status

Check whether an AI tool is still alive.

Inferred read-only

find_alternatives

Find curated alternatives to a given AI tool by its directory slug.

Inferred read-only

compare_tools

Compare two AI tools side by side by their directory slugs.

Inferred read-only

list_tools

List the top-rated active AI tools in a category or for a job role, optionally filtered by pricing.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.tooldirectory-ai]
url = "https://tooldirectory.ai/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "tooldirectory-ai": {
      "type": "http",
      "url": "https://tooldirectory.ai/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: tooldirectory-ai
Remote MCP URL: https://tooldirectory.ai/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "tooldirectory-ai": {
      "url": "https://tooldirectory.ai/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "tooldirectory-ai": {
      "type": "http",
      "url": "https://tooldirectory.ai/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "tooldirectory-ai",
  "transport": "streamable-http",
  "url": "https://tooldirectory.ai/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.