MCP server for advanced web search using Tavily
Search Fragments is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
For queries a model can't confidently place: resolves or declines. Built to decline, not guess.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http search-fragments-mcp https://searchfragments.com/api/mcp
# 2 — ask your agent for something these tools do
# resolve_fragment, submit_resolution_feedback, verify_claim
Search Fragments costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http search-fragments-mcp https://searchfragments.com/api/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
3 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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 coul
| Parameter | Type | Required | Notes |
|---|---|---|---|
| fragment | string | yes | The half-remembered or fragment-shaped query, in the user's own words. Must be at least 5 characters and describe the thing being recalled by premise, plot, relationship, or context. |
Records accepted, partial or rejected feedback for a resolution_id returned by resolve_fragment in this session. accepted means the result is what the user meant; partial means it helped but is not quite it; rejected means it is not what the user meant. corrected_target and new_clue are optional and are stored as feedback only; they never change graph facts.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| resolution_id | number | yes | The resolution_id returned by the resolve_fragment call this feedback is about. |
| status | string | yes | accepted: the result is what the user meant. partial: it helped but is not quite it. rejected: it is not what the user meant. |
| corrected_target | string/null | no | Optional. What the user was actually thinking of, if they know it. Max 300 characters. |
| new_clue | string/null | no | Optional. An extra detail the user remembered after seeing the result. Max 500 characters. |
| note | string/null | no | Optional free-text note. Max 1000 characters. No personal data. |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| claim | string | yes | A specific factual assertion to check against current web sources. Should be a concrete, checkable statement — not a question or a half-remembered fragment. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Search Fragments or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.2.5.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Search Fragments can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.