About ai-resources
ai-resources is an MCP server for AI agents to search and read briefings on models, companies, funding, tools, and research. Results include source links for citation.
Key features
- 01Search briefings by keyword
- 02Retrieve the latest briefings
- 03Read full briefings and sources
- 04List categories and counts
Use cases
- 01Find briefings on a specific AI topic
- 02Review updates in a category
- 03Read a briefing and verify its sources
MCP support
The MCP server exposes tools for searching, browsing, and reading briefings. It uses the public blogs.drix10.com API and requires no key.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y ai-resources-mcpAI_RESOURCES_API_URLBase URL of the briefings API (default https://blogs.drix10.com)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEai-resources-mcp
An MCP server that gives any AI agent the AI Resources news layer: daily briefings on AI models, companies, funding rounds, tools and research, searchable and citable. It reads the public API of blogs.drix10.com; no key needed.
| Tool | What it does |
|---|---|
search_briefings(query, category?, limit?, since?) | Keyword search, newest first. All words must match. since is YYYY-MM-DD. |
latest(category?, limit?) | The newest briefings, overall or for one category. |
get_briefing(id) | Full Markdown of one briefing (URL or slug), with every source link. |
list_categories() | Every category slug with its briefing count. |
Every result ends with its source link and Data: github.com/Drix10/ai-resources (CC BY 4.0), so answers stay citable.
Install
· in the official MCP Registry as
io.github.Drix10/ai-resources. Node.js 18+, no key, no account.
Claude Code
claude mcp add ai-resources -- npx -y ai-resources-mcp
Claude Desktop (claude_desktop_config.json), Cursor (~/.cursor/mcp.json or .cursor/mcp.json) and Windsurf (~/.codeium/windsurf/mcp_config.json):
{
"mcpServers": {
"ai-resources": { "command": "npx", "args": ["-y", "ai-resources-mcp"] }
}
}
VS Code (.vscode/mcp.json):
{
"servers": {
"ai-resources": { "type": "stdio", "command": "npx", "args": ["-y", "ai-resources-mcp"] }
}
}
or from a terminal: code --add-mcp "{\"name\":\"ai-resources\",\"command\":\"npx\",\"args\":[\"-y\",\"ai-resources-mcp\"]}"
On Windows, if a client cannot start npx, use "command": "cmd", "args": ["/c", "npx", "-y", "ai-resources-mcp"].
Settings
AI_RESOURCES_API_URL: base URL of the API (default https://blogs.drix10.com). Node 18 or later.
The API underneath
Usable without MCP, from any HTTP client (CORS open, JSON):
GET /api/articles?q=&category=&since=&limit=&page=:{ items: [{ title, url, slug, category, categorySlug, date, description, headlines, sources: [{ title, url }] }], total, page, limit, totalPages, license }GET /api/articles?slug=<slug or URL>: one item, pluscontent(full Markdown)GET /api/categories:{ items: [{ name, slug, count, url, llms }] }GET /llms.txtandGET /llms/<category-slug>.txt: the latest 50 briefings of a category in llms.txt form
Develop
git clone https://github.com/Drix10/ai-resources
cd ai-resources/mcp
npm ci
npm test # node:test against a stubbed fetch
Issues labelled mcp are open for contributors; see CONTRIBUTING.md.
Code: MIT. Data: Drix10/ai-resources, CC BY 4.0.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.