Qontext
Connect Qontext to Claude to give it your company context. Qontext is the self-maintaining context repository for the AI-native company: it keeps company knowledge structured, up to date, permission-aware, and ready to use for every AI agent. Claude can browse the repository, find the right files with exact and hybrid search, read their content, and write updates back. Perfect for answering questions with internal knowledge, drafting documents grounded in your actual processes, or keeping the repository up to date as things change.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
- Secondary Subcategories
- None listed
- Brand
- Qontext
- Access
- Account required
- First tracked
- 2026-07-16
- Tool count
- 9
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedQontext in Enterprise Knowledge Search & AI Context Layer
#28of 32competitors
This is the score for the Integration’s Primary Category, Enterprise Knowledge Search & AI Context Layer. Qontext's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.
How this score is measuredWhat we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 0/100 - Diagnostic
Found
· 0/100 - Diagnostic
Positioned
· 0/100
Competing in Claude Enterprise Knowledge Search & AI Context Layer
View CategoryWhat does 0/100 mean?
0 is Qontext's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Qontext in connector search, and Positioned shows where it appeared in the picker.
Qontext is 10 points from Buried.
FoundDiagnostic
Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
9 tools agents can invoke
How do I improve a Community connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Qontext alternatives on Claude?
As of 2026-08-14, Qontext competes with Google Drive, Egnyte, Microsoft 365, Box, Dropbox, Glean, NetDocuments, Guru, Lloyd by The L Suite, Mem0, Unblocked, Within, Ace Work, AgentContext, Agently, AskNeedl, Circuitry.ai, Coconut Context, CreateBases, DeepJudge, Haystack, Hebbia, iknow.dev, Lace Labs, Marcora: Brand Context & Writing, Meko, POMA Grill, Riley, Solo MCP, Syntitan, Unstructured Foundation in Claude Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.
Where does Qontext rank in Enterprise Knowledge Search & AI Context Layer on Claude?
As of 2026-08-14, Qontext ranks #28 of 32 in Claude Enterprise Knowledge Search & AI Context Layer with a Discoverability Score of 0/100 (Invisible).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.