mcp server
directory
Discover and query every business on ANOTS — search, ask, or find-and-ask over MCP.
Description as published by the maintainer. Source
- version 1.0.0
- slowing
- retrieval
slowing — Most recent push to the repository was 2026-04-02. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
ask_business(slug, question)- Ask a specific business's ANOTS agent a question, by slug. The agent answers from that business's own knowledge base and tools (live data, not scraped HTML). Get the slug from search_businesses. Required: slug, question.
find_and_ask(limit, query)- Discover the most relevant ANOTS businesses for a need AND ask each one in a single step, returning their answers side by side. The fastest way to answer a purchase-intent or research question across the directory. Required: query.
search_businesses(limit, query)- Search the ANOTS directory for businesses whose AI agent can answer a question or need. Returns matching businesses with their slug, name, what they do, and agent-card URL. Use this first to discover which agents to ask. Required: query.
Last successful function declaration observed on . Source: https://api.anots.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://api.anots.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-04-02 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-19 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-19 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | api.anots.com | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | api.anots.com |
Where to get it
Also from patheras
-
io.github.Patheras/gyibb-mcp
Cited product-review verdicts from real user voices — free remote MCP, no API key.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json