mcp server
trueai
Recommend and inspect AI SaaS apps from the TrueAI catalog (1,600+ apps) by need, name or URL.
Description as published by the maintainer. Source
- version 1.0.1
- slowing
slowing — Most recent push to the repository was 2026-05-28.
What this server can do
4 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.
get_ai_tool(max_reviews, name_or_url, include_reviews)- Resolve and return the full structured record of one AI app. Parameters ---------- name_or_url : str The AI app's display name (e.g. 'Cursor', '通义千问'), its TrueAI slug, a numeric id, or its official URL (e.g. 'https://cursor.com'). include_reviews : bool (default false) If true, attach up to ``max_reviews`` real user reviews (sourced from watcha.cn). Useful for social proof / real-world usage tips. max_reviews : int (1-20, default 5) Cap on attached reviews. Resolution order: numeric id → exact slug → official_url substring → brand keyword from URL → fuzzy name/tagline match. Required: name_or_url.
list_ai_tools(page, sort, category, free_only, page_size, form_factor)- Browse the catalog with structured filters and sorting. Parameters ---------- category : str | None Optional category slug to filter by, e.g. 'coding', 'image-gen', 'writing'. Use list_categories() to discover slugs. free_only : bool | None If true, only return tools with a free tier. form_factor : str | None Filter by product form: 'saas' | 'mobile' | 'cli' | 'windows_app' | 'web' | 'browser_extension' | 'api'. sort : str (default 'overall') Sort key: 'overall' | 'usability' | 'effect' | 'price' | 'speed' | 'reviews' | 'new'. page : int (>=1, default 1) page_size : int (1-100, default 20) Returns ``{items, total, page, page_size}``. Each item is a brief record; call ``get_ai_tool`` to drill in.
list_categories- List every category in the TrueAI catalog. Each entry has ``slug``, ``name``, optional ``icon``, ``sort_order``, ``parent_id`` and ``tool_count``. Use the returned slugs to filter ``list_ai_tools(category=...)``.
recommend_ai_tools(top_k, description)- Find AI tools that match a natural-language user need. Parameters ---------- description : str The user's need in their own words. Be specific about the scenario, audience, platform, language and budget when known. Examples: '我是新手想学编程，要免费的 AI 工具'; 'I need an AI to generate a 10-page PPT from an outline'. top_k : int (1-10, default 5) Maximum number of candidates to return. Returns ------- JSON: {intents, candidates, external}. ``candidates`` is already ranked by relevance & score. ``external`` lists fallback nav sites only when no in-catalog candidate matches. Required: description.
Last successful function declaration observed on . Source: https://www.shiflowai.cloud/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://www.shiflowai.cloud/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 | 2026-05-28 | 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 | 1.0.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-26 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-26 | 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 | 4 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 | www.shiflowai.cloud | |
| mcp endpoint status | ok | The server listed 4 functions when asked. | as of probe | www.shiflowai.cloud |
Where to get it
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