Hebbia
Bring Hebbia's institutional intelligence into Claude. The Hebbia MCP server lets you tap into your firm's knowledge to make better decisions on deals and investments and run financial workflows from research to building reports, slides, and financial models.
- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
- Secondary Subcategories
- None listed
- Brand
- Hebbia
- Access
- Account required
- First tracked
- 2026-08-14
- Tool count
- 6
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Your public score is being prepared
Hebbia is tracked in the public registry. Its Discoverability Score will appear as soon as the public benchmark is ready - never as an estimate.
Competing in Claude Enterprise Knowledge Search & AI Context Layer
View CategoryHow the Discoverability Score works
The Claude Discoverability Score will be the percentage of contested conversations where Hebbia appears in the connector picker or Claude invokes it directly. Found and Positioned will be shown as diagnostics, not score inputs.
Organic discovery scoring is pending. Your Connector score will appear on this scale when measurement goes live.
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.
6 tools agents can invoke
How do I improve a Verified 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 Hebbia alternatives on Claude?
As of 2026-08-14, Hebbia 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, iknow.dev, Lace Labs, Marcora: Brand Context & Writing, Meko, POMA Grill, Qontext, Riley, Solo MCP, Syntitan, Unstructured Foundation in Claude Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.