Kannapedia Genetics MCP for AI. Search by Terpene, Effect, or Strain Name
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Kannapedia Cannabis Genetics provides structured access to a vast database of cannabis strains. Use this MCP to search by specific terpenes, filter results based on reported effects (like focus or sleep), identify genetics by name, and view full strain lineage data.
What your AI can do
Search by effect
Locates strains that are reported to cause a certain physiological effect.
Get strain detail
Fetches the full lineage and description for one specific strain name.
Search genetics
Searches for cannabis strains using general keywords or strain names.
Find strains containing specific dominant chemical compounds, such as Myrcene or Limonene.
Identify genetics associated with reported physiological effects like relaxation or energy boost.
Pull complete genetic lineage and descriptive information for any specific strain name.
Perform general searches across the database using common names or keywords.
Ask an AI about this
Waiting for input…
Kannapedia Genetics: 4 Specialized Tools
These four tools allow you to query the Kannapedia database using different scientific criteria—from chemical composition to reported biological effect.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Kannapedia Cannabis Genetics on VinkiusSearch By Effect
Locates strains that are reported to cause a certain physiological effect.
Get Strain Detail
Fetches the full lineage and description for one specific strain name.
Search Genetics
Searches for cannabis strains using general keywords or strain names.
Search By Terpene
Filters the database to find strains dominated by a specific chemical terpene.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Kannapedia Cannabis Genetics, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kannapedia. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 4 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Figuring out which strain has the right profile takes time and multiple tabs.
Right now, figuring out a good recommendation means checking three different industry sites. You might check one site to see strains by effect (e.g., 'Focus'), then switch to another database just to see which of those strains list high Limonene content. Then you have to copy the strain names and paste them into a third place to get the full lineage data.
With this MCP, your agent handles all that cross-referencing in one prompt. You tell it what profile or effect you need, and it pulls the required genetics from across its database without you having to open three tabs.
Get precise strain data using Kannapedia Genetics.
The manual steps of cross-referencing chemical profiles, filtering by outcome, and then looking up the lineage are gone. You don't copy names; you just ask your agent to 'Find me strains that are psychoactive and contain Myrcene.'
Now, scientific discovery happens in a single conversation. It’s direct.
What your AI can actually do with this
This connector gives your AI client direct access to the Kannapedia genetics database. Instead of wading through general web searches, you can ask natural language questions about cannabis strains. For instance, 'I need a high-Myrcene strain that provides focus.' The system finds specific strains based on complex chemical profiles and reported effects.
It's useful for anyone who needs precise data—from hobbyist budtenders to academic researchers. You can run specialized queries like searching by dominant terpenes or filtering only for sedative effects, then retrieve the full lineage and description for any strain found. Connecting this MCP via Vinkius gives you a single point of access to these structured genetics datasets, letting your agent perform detailed lookups without needing multiple APIs.
019d75bf-4692-73b7-8d7d-4ae4ffcb1a40 Here's how it actually works
The bottom line is that you get precise, structured data on cannabis genetics without leaving your AI client.
First, subscribe to this MCP and provide your Kannapedia API key within Vinkius.
Next, ask your AI client a specific question—for example, 'Show me strains for sleep.'
The agent uses the specialized tools to query the database and returns a list of matching strains with detailed information.
Who is this actually for?
This MCP targets science professionals and niche consumer groups who require deep, specific knowledge about botanicals. It's for the researcher needing to cross-reference chemical compounds or the budtender who needs to recommend a strain based on highly specific customer symptoms.
Retrieves structured genetics data and performs comparative analysis across different terpene profiles for academic studies.
Quickly recommends strains to customers by filtering results based on reported effects or specific chemical needs.
Searches for new strains using precise criteria, such as finding genetics that provide a 'sleepy' effect combined with high Limonene content.
What Changes When You Connect
Precision search: Use the search_by_terpene tool to isolate strains based on exact chemical compounds like Myrcene, rather than relying on general descriptions.
Targeted results: Need a strain for sleep? The search_by_effect tool lets you filter thousands of options down to those associated with that specific outcome.
Deep data access: Instead of just getting a name, the get_strain_detail function provides full genetic lineage and detailed descriptions in one call.
Broad discovery: If you don't know what specific effect or terpene you need, start with search_genetics to find relevant strains by keyword.
Saves time: Your agent handles the complex database querying. You simply ask what you want, and it returns structured data instantly.
See it in action
A customer needs a sleep aid with specific chemistry.
The budtender asks the AI client to find strains that are both associated with 'Sleep' (using search_by_effect) and contain high amounts of Myrcene. The system returns a list of candidates, allowing the budtender to recommend the best option.
A researcher needs lineage data for comparison.
The researcher asks the AI client for the full details on 'OG Kush' using get_strain_detail. The agent returns the complete genetic background and effect profile needed for their analysis.
Finding alternatives based only on scent/profile.
The user wants to explore strains that smell like lemon. They ask the AI client to query by 'Limonene' using search_by_terpene, getting a list of candidates they would otherwise miss.
General market research on new compounds.
The user wants to see all strains mentioned in the database that are associated with 'Focus.' They use search_by_effect and get a comprehensive set of options for further investigation.
The honest tradeoffs
Using general search only
Asking your AI client, 'What strains are good?' This results in vague lists because the system doesn't know if you mean effect, terpene, or name.
If you want to find a specific profile, use search_by_terpene and specify Myrcene. If you need an outcome, use search_by_effect and state 'Sleepy.' Be precise.
Copy-pasting data into the query
Trying to manually combine search terms like 'sleepy terpenes names' into one prompt. The system gets confused by the mixed structure.
Break it down. First, use search_by_effect for 'Sleep.' Then, take the resulting strains and run get_strain_detail on them to check their terpene profiles.
Assuming one search covers everything
Thinking that running a general keyword search (search_genetics) is enough. This often misses scientifically categorized results.
Always test the dedicated tools first. If you need to filter by chemical structure, use search_by_terpene before relying on general keywords.
When It Fits, When It Doesn't
Use this MCP if your goal involves scientific classification: correlating a strain's name, its known chemicals (terpenes), or its reported function (effects). This is for deep analysis. Don't use it if you are simply looking for general consumer advice; those sites might be easier. If you just need to know the basic details of one popular strain and nothing else, get_strain_detail works fine. However, if you need to compare multiple strains or filter by a specific chemical element, you must use the dedicated search functions like search_by_terpene or search_by_effect. Never rely solely on search_genetics for highly specialized research.
Questions you might have
How do I get my Kannapedia API Key? +
Sign up on the Kannapedia website, navigate to your account settings, and generate a new API key for developer access.
Can I search for specific terpenes? +
Yes, the search_by_terpene tool allows you to find strains known for dominant terpenes like Myrcene, Limonene, or Caryophyllene.
Does it include lineage and parentage? +
Yes, the get_strain_detail tool provides full lineage data, including parent strains and genetic background for each entry.
Can I filter strains by their reported effects? +
Yes! Use the search_by_effect tool to discover strains associated with specific effects such as Sleep, Focus, or Relaxation.
What detailed information does the `get_strain_detail` tool return? +
It returns comprehensive data on a single strain. You'll get its full lineage, descriptive profile, and all associated reports, making it perfect for deep-dive analysis.
Should I use `search_genetics` or another tool if I only know the name of a plant? +
Use search_genetics. This tool is designed for broad discovery. It allows you to search strains using keywords or names, giving you results even if you don't specify a terpene or effect.
If I run `search_by_terpene`, how accurate are the dominant profiles? +
The tool searches based on the strain's reported dominant terpenes, such as Myrcene or Limonene. This helps you quickly narrow down results to specific aromatic compounds.
What kind of data structure can I expect when using `search_by_effect`? +
The tool returns a list of strains associated with the reported effect (like Sleep or Focus). The output is structured, which makes it easy for your AI client to process and analyze.
We've already built the connector for Kannapedia Genetics. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting.
You're up and running in seconds.
Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.