Search Fragments

com.searchfragments由 searchfragments.com 发布官方发布者v0.2.5更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行网页搜索与抓取知识与记忆

概览

AI 生成的概览

远程 MCP 服务器,可根据零碎记忆找出电影、剧集、歌曲、书籍、名言、地点和研究,并核查事实性说法。

可以做什么
  • 解析碎片:根据场景、台词、大致年代等记忆线索,找出电影、剧集、歌曲、书籍、游戏、名言、人物、地点、事件或研究
  • 核查说法:对照当前网络来源检验具体事实断言,返回带引用证据和明确局限的结论
  • 提交反馈:将解析结果标记为接受、部分符合或否定,或从候选列表中选出条目
  • 结果以明确答案、排序候选列表或明确的“无法解析”三种形式返回
适用场景
适合用户只记得零碎线索、说不清是什么的情况,或需要对照来源核实某条具体事实断言时。不适合众所周知的事实,这类情况普通搜索更快。
运行要求
远程 streamable-HTTP 端点,无需本地安装。基础免费使用无需注册或认证;需要认证时可使用 OAuth 2.0(授权码 + PKCE)。需要能访问该托管服务的网络。
安装前请注意
查询内容和反馈会发送给第三方托管服务,发送敏感信息前请先查看其隐私政策。反馈工具会记录解析是否正确,并由服务方保存。对说法的结论基于来源,可能只是部分支持或无法定论。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Search Fragments,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.searchfragments%2Fsearch-fragments/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

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

README

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.

json
{  "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

TypeRemote, streamable-http MCP server
Endpointhttps://searchfragments.com/api/mcp
Toolsresolve_fragment (resolve a fragment), verify_claim (check a specific claim), submit_resolution_feedback (report whether a resolution was right)
AuthNone required for basic use (free tier). OAuth 2.0 (Authorization Code + PKCE) available for authenticated use.
RegistryMCP Registry — com.searchfragments/search-fragments

See server.json for the full MCP registry manifest.

Links

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.

来源:README.md,提交 11f4a6c

工具

3

resolve_fragment

Resolve Fragment

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 together. A shortlist or an honest "can't place it" is still useful. Use it when your own search couldn't place it. Not for known titles, trivia, recommendations or checking claims (use verify_claim). When the user says whether this helped, report it with submit_resolution_feedback.

输入参数fragment必填

submit_resolution_feedback

Submit Resolution Feedback

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; if nothing fitted, send none_fitted: true. corrected_target and new_clue are optional and are stored as feedback only; they never change graph facts.

输入参数notestatus必填new_cluepicked_urlnone_fittedpicked_rankresolution_id必填corrected_target

verify_claim

Verify Claim

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_supported" — sources confirm the entity and domain; specific detail is pointed to but not directly stated - "insufficient_evidence" — sources don't address the specific claim; fires freely, including when the entity is well-known but the specific detail is undocumented - "unsupported" — a credible source explicitly contradicts the claim All verdicts are DECIDE-BY-EYE. A "supported" verdict means current web sources confirm it — not that it is true. Evidence may be incomplete, biased, or outdated. The stated_limits field is always present and identifies what the evidence cannot confirm. Good input shape (specific, checkable assertions): - "Werner Herzog dragged a full-size steamship over a hill during the filming of Fitzcarraldo" - "Glenn Gould stopped giving live concerts in 1964" - "The Backrooms photograph originated on 4chan" Checks one specific factual statement. Not for identifying half-remembered works. Not this shape: - "there's a documentary about a filmmaker dragging a boat over a mountain" - "a musician famous for stopping performing"

输入参数claim必填

版本历史

4
  1. v0.2.5最新Oct 12, 2026
  2. v0.2.4Oct 4, 2026
  3. v0.2.3Oct 1, 2026
  4. v0.2.2Sep 16, 2026

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