Coconut Context
Coconut Context is the shared, living context layer for your organization, built so humans and AI agents work from the same source of truth. Most AI tools forget. Every new chat, every new agent starts cold, and you re-explain your customers, your decisions, your product, your house style. Coconut Context fixes that. It's a versioned knowledge base written in plain markdown, readable and writable by both people and agents, and exposed to Claude over MCP. Connect it once and Claude can: - Search and read your canonical context (product docs, customer accounts, processes, decisions) instead of guessing - Write back what it learns, so knowledge compounds across sessions instead of evaporating - Work in shared spaces (team knowledge) or personal spaces (your own working memory), with permissions that keep the right context in the right hands - Stay current through versioning, so every change is tracked and reversible Because it's plain markdown, your context stays portable and human-readable, not locked in a proprietary format you can't inspect. Humans edit it in the Coconut Context app; agents read and update it through the connector. This is how you ship at agent speed without the slop: give your AI durable, permissioned, organizational memory instead of re-priming it every time. Coconut Context is part of the Coconut platform for building and running autonomous software agents. Use it on its own, or alongside Coconut's agent runtime and dashboard.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
- Secondary Subcategories
- None listed
- Brand
- Coconut
- Access
- Account required
- First tracked
- 2026-07-04
- Tool count
- 15
- 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 refreshedCoconut Context in Enterprise Knowledge Search & AI Context Layer
#18of 32competitors
This is the score for the Integration’s Primary Category, Enterprise Knowledge Search & AI Context Layer. Coconut Context'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 Coconut Context'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 Coconut Context in connector search, and Positioned shows where it appeared in the picker.
Coconut Context 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.
15 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 Coconut Context alternatives on Claude?
As of 2026-08-14, Coconut Context 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, CreateBases, DeepJudge, Haystack, Hebbia, 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 does Coconut Context rank in Enterprise Knowledge Search & AI Context Layer on Claude?
As of 2026-08-14, Coconut Context ranks #18 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.