MCP server

EverythingMeetsAI Official

com.everythingmeetsai/archive

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

AI's impact on real-world sectors: source-linked headlines in 18 sectors. Free, read-only, no text.

Working at last checkVerified publisher: everythingmeetsai.comAbout 1,250 tokens per request once connected7 tools

https://everythingmeetsai.com/mcp

At a glance

Type: MCP server
Publisher: everythingmeetsai.com (verified by the MCP Registry)
Status: Working at last check
Tools: 7
Token cost: About 1,250 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http archive https://everythingmeetsai.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.archive]
url = "https://everythingmeetsai.com/mcp"

Gemini CLI

{"mcpServers":{"archive":{"httpUrl":"https://everythingmeetsai.com/mcp"}}}

Cursor

{"mcpServers":{"archive":{"url":"https://everythingmeetsai.com/mcp"}}}

VS Code

{"servers":{"archive":{"type":"http","url":"https://everythingmeetsai.com/mcp"}}}

Antigravity

agy mcp add archive https://everythingmeetsai.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"archive","server_url":"https://everythingmeetsai.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"archive","server_url":"https://everythingmeetsai.com/mcp"}

about ~58 tokens
What this record is and is not, its coverage and caveats, fair-use limits, how to get a free key, and how to attribute.
changes_since ~244 tokens
Stories we published after a timestamp, oldest first, for polling. Use next_since from the result as the next call's since. Corrections and removals are not conveyed.
get_story ~100 tokens
One published story by id (from search_stories or changes_since), with every outlet that covers it and which links are paywalled.
list_outlets ~148 tokens
Outlets that cover at least one published story, with slug, name, homepage and story count; optionally within one sector. Use the slug in search_stories' outlet filter.
list_sectors ~67 tokens
The sectors stories are placed in, with slug, name, what each covers, story counts (all time and last 30 days) and the span of publication dates.
list_types ~72 tokens
The development-type vocabulary with how many stories carry each. A type with 0 has never been assigned; treat development_type as a hint, most stories have none.
search_stories ~561 tokens
Search EverythingMeetsAI's record of AI's impact on real-world sectors: source-linked headlines placed in one of 18 sectors, with outlet, country, development type and time, since 24 June 2026. Filter by sector, country, outlet, development type, headline keyword and date. Returns headline, publishe

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