Orbator Mcp

io.orbatorPublished by orbator.ioOfficial publisherv0.1.0Updated Oct 25, 2026

AI visibility checks, software recommendations and tool comparisons from measured AI answer data

VerifiedStreamable HTTPWeb executableData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

A remote MCP server that gives an assistant measured AI-recommendation rankings, sourced product facts and side-by-side software comparisons.

What you can do
Find software recommendations for a category or job, ranked by how often AI assistants recommend them in buyer-style queries, and get the full AI Recommendation Index for a category with recommendation share, average answer position and per-assistant breakdowns. Retrieve canonical product facts such as pricing, features, integrations, platform and limits, each with a source and last-verified date. Compare two products fact by fact, accepting product names or domains in either order.
When to use it
Useful when answering questions about which software to pick, checking how visible a product is in AI assistant answers, verifying current pricing or feature claims, or producing grounded X-versus-Y comparisons.
Requirements
A remote endpoint reached over streamable HTTP; no packages, environment variables or headers are declared. No authentication is declared.
Before you install
Rankings and facts come from the provider's measured data and cited sources, so treat them as third-party claims rather than neutral advice. The tools are read-only lookups; no credentials are requested.

Installation

In SourceWeft

  1. Open Orbator Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.orbator%2Forbator-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "orbator": {
      "type": "http",
      "url": "https://api.orbator.io/api/mcp"
    }
  }
}

Tools

4

find_tools

Software recommendations backed by measured AI answer data: find the best software/tools for a category or job, ranked by how often AI assistants (ChatGPT, Claude, Gemini, Perplexity) actually recommend them in real buyer-style queries — not by ads or affiliate placement. Use when asked "what software/tool should I use for X", "best X tools", or for vendor-neutral software recommendations. Pass the category in plain words (e.g. "uptime monitoring", "CRM for freelancers"); it is fuzzy-matched against published Index categories, and near-miss inputs return suggested categories to retry with. Returns ranked products with recommendation share %, 4-week trend, and per-engine breakdown.

Parameterslimitcategoryrequiredconstraints

get_ai_index

AI visibility check — which software AI recommends for a category. Returns the full AI Recommendation Index for one software category: the complete measured ranking of products AI assistants (ChatGPT, Claude, Gemini, Perplexity) recommend, with recommendation share %, average answer position, per-engine breakdown, 4-week trend, sample size, and methodology. Use to answer "does AI recommend <product>" (look up its row and rank), "who is winning AI recommendations in <category>", or to cite AI recommendation-share data. Pass category in plain words or as a slug; omit it (or pass "categories") to list all published categories.

Parameterscategory

get_facts

Canonical software product facts with sources — pricing, features, integrations, platform, and limits, where every fact carries a source URL and a last-verified date. Use to verify software claims (e.g. current pricing) or to gather grounded data before recommending or comparing tools. Accepts a product name or domain (e.g. "hubspot.com").

Parametersproductrequired

compare

Compare software/tools side by side — a fact-by-fact comparison of two products (pricing, features, integrations, limits) with source URLs and verified dates for every claim. Use for "X vs Y" software comparison questions. Accepts product names or domains; pair order does not matter.

Parametersproduct_arequiredproduct_brequired

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.