Skip to content
URBot AI Assistants logo

URBot AI Assistants MCP server

Which servers in the official MCP registry are URBot AI Assistants's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-19

← Back to URBot AI Assistants

Whose server it is
  • Registry namenet.urbot/botsverified in the MCP registry

The registry name sits under urbot.net. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-19
  • Stateanswerschecked 2026-10-19
  • Tools5
  • Server calls itselfurbot-mcp
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 102 ms.

Should an agent connect itSkip it
  • Its tools do none of the product's use cases we checked: Plan road trip routes, fuel stops, and detours; Train a dog on breed-specific behaviour problems.
  • Checked on 3 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-10-19
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
  • What an agent can do with it0 of 2 use cases
  • Answeredmeasuring3 of the 7 daily checks it takes to print a share
  • Median first answer102 ms
  • Space in an agent's context≈ 834 tokensthe definitions of all its tools (5), which an agent carries on every turn
  • Tool definitionsB · 83 of 100
  • Typed results0 of 5 toolsdeclared outputSchema: results come typed, read once
  • Not saying whether it only reads or can destroy: 5 of 5

What an agent can do with it

  • not sure · Plan gym workouts around your equipment and goals
  • cannot · Plan road trip routes, fuel stops, and detours
  • cannot · Train a dog on breed-specific behaviour problems

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers5 tools · read 2026-10-19
  • list_bots

    List the URBot catalog of 150+ trained vertical AI expert bots with slug, name, tagline, category, and price tiers (most bots start at $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor…

  • get_bot

    Get the full card for one URBot bot by slug: name, tagline, pitch, price tiers, 6-axis capability radar (knowledge/practical/empathy/technical/creativity/safety, 0-100), knowledge topics, which bots it pairs with, and team synergy…

  • chat_with_bot

    Send a message to a live URBot expert bot and get its reply (with emotion metadata). Works without an account via the free preview (a few messages per bot per session); purchased bots or an URBOT_API_KEY lift the limits. Pass the returned…

  • get_skill

    Generate an agent-ready SKILL.md (agentskills.io-style YAML frontmatter + system prompt + capability profile) for one URBot bot. Drop the file into any SKILL.md-compatible agent (Claude Code, Cursor, Hermes, ...) to use the bot as a…

  • search_bots

    Keyword-search the URBot catalog across bot names, taglines, categories, knowledge topics, and capability pitches. Returns the top matches with slug, name, category, price, and why they matched. Use this first when you know the task but…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "bots": {
      "type": "http",
      "url": "https://urbot.net/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http urbot https://urbot.net/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://urbot.net/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.