Meko
Meko is a data-persistence cloud platform for hybrid teams (AI agents and humans). It gives you a place to keep shared context (agent memory, conversations, and knowledge base docs) without the need for you to stitch it together yourself. We have already done this behind the scenes, so everything just works out of the box with natural language. No knowledge of SQL required. Meko stores "context," which enables sharing across agents and harnesses. Meko stores and enables you to: Save AI conversations and extract facts from them into searchable memory, so work from an earlier session doesn't have to be reprocessed from all the individual pieces of data. Easily upload documents into a hosted knowledge base, so that you don't have to write complex data pre-processing pipelines. Allow resuming your context over time or switching between LLMs and IDEs, so you can pick up where you left off. This is helpful if you run out of tokens, an LLM goes down for a while, or you want to use a different AI provider. Share agent memory and knowledge base documents with other teammates (agents or humans) selectively, so everyone can work together and learn from each other. Store agent traces in a visual portal, so you can see what the agent thought or did during conversations or agentic work. Gain access through a remote MCP endpoint, so that any MCP-capable agent (Claude, Cursor, Codex, and other AI chat apps with MCP) can use it.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
- Secondary Subcategories
- None listed
- Brand
- Meko
- Access
- Account required
- First tracked
- 2026-08-04
- Tool count
- 23
- 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 refreshedMeko in Enterprise Knowledge Search & AI Context Layer
#26of 32competitors
This is the score for the Integration’s Primary Category, Enterprise Knowledge Search & AI Context Layer. Meko'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 Meko'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 Meko in connector search, and Positioned shows where it appeared in the picker.
Meko 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.
23 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 Meko alternatives on Claude?
As of 2026-08-14, Meko 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, POMA Grill, Qontext, Riley, Solo MCP, Syntitan, Unstructured Foundation in Claude Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.
Where does Meko rank in Enterprise Knowledge Search & AI Context Layer on Claude?
As of 2026-08-14, Meko ranks #26 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.