INDIVIDUAL MCP TOOL

recommend_ai_tools

Use this instead of search when the user states requirements the tool must satisfy — "with an API", "self-hosted", "supports Polish", "under $20" — or asks which option is best for their task.

agent.spotnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.agent.spot/mcp

No auth detected

Connect to this endpoint to inspect the live schema for recommend_ai_tools and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

agent.spot

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.agent-spot]
url = "https://mcp.agent.spot/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "agent-spot": {
      "type": "http",
      "url": "https://mcp.agent.spot/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: agent-spot
Remote MCP URL: https://mcp.agent.spot/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": {
    "agent-spot": {
      "url": "https://mcp.agent.spot/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "agent-spot": {
      "type": "http",
      "url": "https://mcp.agent.spot/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "agent-spot",
  "transport": "streamable-http",
  "url": "https://mcp.agent.spot/mcp"
}

MCP Inspector

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

Related tools

search — Use this whenever the user is looking for an AI tool, agent or service and has not named a specific product: "find me something that does X", "which tool for X", "I need an AI for X".
fetch — Use this after search, or whenever you already hold an agent.spot product id, to read the full profile before recommending or comparing anything.
compare_ai_tools — Use this when the user names two or more products and wants them compared, or after search and fetch when you are about to weigh candidates against each other.
find_alternatives — Use this when the user names one product and wants something else instead: "alternatives to X", "something like X but cheaper", "a self-hosted X".
plan_ai_stack — Use this when the goal needs several different tools rather than one: "put together a stack for X", "what do I need to produce X end to end", "which tools for each step of X".
list_new_ai_tools — Use this for "what is new", "what came out this week/month", "recent AI tools" — optionally narrowed to a topic.
list_popular_tags — Use this before searching when the user's wording is vague or you are unsure which category agent.spot uses for their need.