MCP server

Search Fragments Official

com.searchfragments/search-fragments

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

Pieces together films, shows, songs, books, quotes, places and studies from remembered fragments.

Working at last checkVerified publisher: searchfragments.comAbout 1,262 tokens per request once connected3 tools

https://searchfragments.com/api/mcp

At a glance

Type: MCP server
Publisher: searchfragments.com (verified by the MCP Registry)
Status: Working at last check
Tools: 3
Token cost: About 1,262 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 search-fragments https://searchfragments.com/api/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.search-fragments]
url = "https://searchfragments.com/api/mcp"

Gemini CLI

{"mcpServers":{"search-fragments":{"httpUrl":"https://searchfragments.com/api/mcp"}}}

Cursor

{"mcpServers":{"search-fragments":{"url":"https://searchfragments.com/api/mcp"}}}

VS Code

{"servers":{"search-fragments":{"type":"http","url":"https://searchfragments.com/api/mcp"}}}

Antigravity

agy mcp add search-fragments https://searchfragments.com/api/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":"search-fragments","server_url":"https://searchfragments.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"search-fragments","server_url":"https://searchfragments.com/api/mcp"}

resolve_fragment ~282 tokens
Pieces together the name of a film, TV or radio show, song, book, game, quote, person, place, event or research study from the fragments a user remembers: a scene, a line, a face, roughly when. Pass every fragment in the user's own words, even uncertain ones. It searches many sources and fits them t
submit_resolution_feedback ~476 tokens
After the user reacts to a resolve_fragment result, call this with its resolution_id. accepted: it is what they meant. partial: it helped but is not quite it. rejected: it is not what they meant. If they recognised an item in the shortlist or leads, send picked_rank (1 = first item) or picked_url; i
verify_claim ~504 tokens
Checks whether current web sources support a specific factual assertion. Takes a claim as a natural-language statement; returns a verdict with cited evidence and stated limits. Verdict set: - "supported" — multiple independent sources directly confirm the specific claimed detail - "partially_suppor

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