Search Fragments
Pieces together films, shows, songs, books, quotes, places and studies from remembered fragments.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http search-fragments 'https://searchfragments.com/api/mcp'{
"mcpServers": {
"search-fragments": {
"type": "http",
"url": "https://searchfragments.com/api/mcp"
}
}
}Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Search Fragments
Resolve half-remembered queries without guessing. A confident answer, a ranked shortlist, or an honest no. For when you half-remember something and can't place it. Half-remembered, cross-source queries usually take a dozen tabs and five rephrasings; Search Fragments collapses that into one call. Not for well-known facts, where normal search is faster.
Tools: resolve_fragment, verify_claim, submit_resolution_feedback
Free. No signup required.
Available in Claude, Cursor, Raycast and GitHub, or add the URL below to any MCP-compatible agent.
{
"mcpServers": {
"search-fragments": {
"url": "https://searchfragments.com/api/mcp"
}
}
}Why this exists
AI agents tend to become confidently wrong on fragmented queries: partial memories, indirect relationships, missing names. There's real signal in the fragment — enough for a model to recognize the pattern — but not enough to verify an answer from memory alone. The result is fluent, specific, and wrong.
Search Fragments is built to decline rather than guess. Every query resolves to one of three honest shapes:
- Resolved — a named answer, with confidence backed by evidence found.
- Weighted Partial — a ranked shortlist of candidates to decide by eye.
- No Resolution — an explicit "not resolvable from these clues," with no confidence claimed.
In a test against a baseline agent on 50 hard, under-documented fragments, the baseline fabricated three specific wrong answers with no hedge — Search Fragments declined honestly on all three. Full write-up: searchfragments.com/agent-hallucinations.
More on the design philosophy: searchfragments.com/why.
Server details
| Type | Remote, streamable-http MCP server |
| Endpoint | https://searchfragments.com/api/mcp |
| Tools | resolve_fragment (resolve a fragment), verify_claim (check a specific claim), submit_resolution_feedback (report whether a resolution was right) |
| Auth | None required for basic use (free tier). OAuth 2.0 (Authorization Code + PKCE) available for authenticated use. |
| Registry | MCP Registry — com.searchfragments/search-fragments |
See server.json for the full MCP registry manifest.
Links
- Website: searchfragments.com
- Privacy policy: searchfragments.com/privacy
- Terms: searchfragments.com/terms
- Contact: hello@searchfragments.com
License
MIT. See LICENSE.
About this repository
This repository documents and points to the hosted Search Fragments MCP server. The server itself runs as a managed remote service — there's no local install; connect to the endpoint above from any MCP-compatible client.
Frequently asked questions
What is Search Fragments?
Pieces together films, shows, songs, books, quotes, places and studies from remembered fragments.
How do I install Search Fragments?
It runs as a remote server. In Claude Code: claude mcp add --transport http search-fragments 'https://searchfragments.com/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Search Fragments need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Search Fragments open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Search Fragments?
It is published by Searchfragments. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.