Kannapedia Cannabis Genetics MCP. Search by effect, terpene, or name with structured data.
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Kannapedia Cannabis Genetics connects a structured cannabis database to your AI client. Search strains by name, filter by dominant terpenes (like Myrcene or Limonene), or narrow results by reported effects (Sleep, Focus).
It pulls full lineage, effect data, and detailed strain profiles into your chat window.
What your AI agents can do
Get strain detail
Gets the full genetic and descriptive data for one specific strain.
Search by effect
Finds strains that are reported to cause a specific effect, like 'Sleepy' or 'Energetic'.
Search by terpene
Searches for strains that contain a high concentration of a specific terpene.
Use get_strain_detail to pull the complete lineage, description, and genetic data for a single, specified strain.
Call search_by_terpene to find all strains whose chemical profile is dominated by a specific terpene, like Myrcene or Limonene.
Use search_by_effect to locate strains that are reported to produce a specific effect, such as 'Sleepy' or 'Energetic'.
Use search_genetics to query the entire database using a simple name or general keyword, like 'OG Kush' or 'tropical'.
Ask AI about this MCP
Supported MCP Clients
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019d75bfget strain detail
Gets the full genetic and descriptive data for one specific strain.
019d75bfsearch by effect
Finds strains that are reported to cause a specific effect, like 'Sleepy' or 'Energetic'.
019d75bfsearch by terpene
Searches for strains that contain a high concentration of a specific terpene.
019d75bfsearch genetics
Searches the database for strains using a general name or keyword.
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What you can do with this MCP connector
This server connects your AI client directly to the Kannapedia cannabis genetics database. You'll be able to search strains by name, filter by dominant terpenes, or narrow results by reported effects. It pulls full lineage, effect data, and detailed strain profiles right into your chat.
To get the full genetic and descriptive data for a single strain, you'll call get_strain_detail with the specific strain's details. To find all strains whose chemical profile is dominated by a specific terpene like Myrcene or Limonene, you'll use search_by_terpene. If you wanna locate strains reported to produce a specific effect, like 'Sleepy' or 'Energetic', you'll use search_by_effect.
You can also query the entire database using a simple name or general keyword, like 'OG Kush' or 'tropical', by calling search_genetics.
If you're doing research, you'll use get_strain_detail to pull the complete lineage, description, and genetic data for any specific strain. When you're trying to match a user's desired outcome, you'll call search_by_effect to locate strains that produce a specific effect. Need to filter by aroma? You'll use search_by_terpene to find strains dominated by a specific terpene.
Just wanna check out a strain by name? You'll run search_genetics against the whole database with a name or keyword.
How Kannapedia Cannabis Genetics MCP Works
- 1 First, you subscribe to the Kannapedia server and enter your API key into your AI client.
- 2 Next, you prompt your agent with a specific query—for example, 'Show me strains high in Limonene for focus.'
- 3 Your agent recognizes the intent, selects the appropriate tool (like
search_by_terpeneorsearch_by_effect), runs the query, and returns the structured results directly to your chat.
The bottom line is, your AI client handles the database calls; you just ask the question.
Who Is Kannapedia Cannabis Genetics MCP For?
The academic researcher who needs to cross-reference genetic lineage with chemical markers; the professional budtender who needs to quickly match a customer's desired effect (e.g., 'I need something for sleep') to a specific, verifiable strain; or the serious consumer who needs more detail than a dispensary shelf label provides.
Runs comparative studies, comparing strain profiles based on multiple variables like specific terpenes and documented effects.
Uses the tools to suggest strains to customers, filtering first by desired effect, then confirming the profile using terpene data.
Builds internal knowledge bases, retrieving structured data on strain genetics for product recommendation engines.
What Changes When You Connect
- Match outcomes to genetics: Instead of browsing hundreds of options, you ask for 'strains for sleep.' The
search_by_effecttool finds them immediately, cutting down hours of manual searching. - Pinpoint chemical profiles: When a customer mentions a scent, use
search_by_terpene(e.g., 'citrus'). You instantly get a list of strains dominated by that compound, skipping general searches. - Deep lineage analysis: If you find a potential candidate, use
get_strain_detailto pull the full history. You see the complete genetic mix, not just the name. - Comprehensive keyword searches: Need a quick overview?
search_geneticslets you toss in a name or a general keyword and get the most relevant results without needing a perfect match. - Structured data retrieval: All results—whether from
search_by_effectorsearch_by_terpene—are presented in a consistent, machine-readable format, making analysis simple.
Real-World Use Cases
Matching a client's needs (Budtending)
A budtender knows the client wants something 'calming.' Instead of guessing, they prompt their agent: 'Find strains for relaxation.' The agent runs search_by_effect and presents 5 verified options. The budtender then uses search_by_terpene on the top result to confirm the chemical profile (e.g., Myrcene) before recommending it.
Comparing genetic options (Researcher)
A researcher is studying the effect of Limonene. They use search_by_terpene to pull a list of relevant strains. They then feed those names into get_strain_detail for each one, systematically compiling a dataset on lineage and effects for their paper.
Initial discovery using keywords (Consumer)
A consumer remembers seeing 'Blue Dream' but isn't sure of the exact spelling. They use search_genetics with the keyword 'Blue.' The tool returns the correct strain and allows them to ask for details, confirming its profile and effects.
Targeting a specific outcome (Consumer)
A user is struggling with insomnia. They ask the agent to 'Show me sleep-inducing strains.' The agent runs search_by_effect and provides a list. They then follow up by asking for the terpenes of the top choice, using search_by_terpene to understand why it works.
The Tradeoffs
Over-relying on general search
Searching 'sleepy' directly in a standard search bar often yields generic articles or blog posts, not structured data. This wastes time and forces manual data extraction.
→
Instead, use the search_by_effect tool. You ask the agent to 'Find strains for sleep.' This directs the query to the structured database and gives you immediate, actionable results.
Mixing up terpenes and effects
Trying to find strains that are both 'energetic' and 'high in limonene' using separate manual searches is slow and prone to human error. You might miss the perfect match.
→
Use a multi-step prompt: First, run search_by_effect for 'Energetic.' Then, take the resulting strain names and ask the agent to refine that list using search_by_terpene for 'Limonene.' This chains the data points.
Forgetting the full picture
Finding a strain list using search_by_terpene but only looking at the name and effect summary. You miss crucial details like the full lineage or parent strains.
→
After getting a list of candidates, always use get_strain_detail on the final choice. This guarantees you retrieve the complete, structured genetic data set.
When It Fits, When It Doesn't
Use this server if your goal is structured data retrieval: when you need to systematically cross-reference strain identity, chemical compounds, and reported biological effects. It's mandatory for research and professional consultation. Don't use it if you just want a general overview of cannabis history or casual advice; for that, a general search engine is fine. If you need to find a strain based on a known parent strain's name, search_genetics is your starting point. If you know the required outcome, start with search_by_effect. If you know the scent, start with search_by_terpene. Never rely on a single tool; the real power comes from chaining them.
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.
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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 server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Figuring out strain genetics used to be a multi-tab, copy-paste nightmare.
Before this MCP server, checking a strain's profile meant jumping between a general database, a terpene chart, and a separate effects guide. You'd copy the name into three different tabs, cross-reference the results, and manually piece together a coherent picture. It was tedious, slow, and often incomplete.
Now, you just tell your agent what you're looking for—say, 'a relaxing strain with a citrus scent.' The agent runs the necessary tools (`search_by_effect` then `search_by_terpene`) and returns a single, structured list of matches. You get the answer, not a mess of links.
Kannapedia Cannabis Genetics MCP Server: Search by effect, terpene, or name
You no longer have to ask, 'What strains are good for sleep *and* have high Myrcene?' You simply ask your agent to perform that complex query. The server handles the logic, calling both `search_by_effect` and `search_by_terpene` behind the scenes to find the intersection of those two criteria.
It's about asking the question you actually have, without worrying about the underlying database logic. The server just gives you the answer.
Common Questions About Kannapedia Cannabis Genetics MCP
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.
How do I use the `search_genetics` tool to find a strain by keyword? +
You pass the name or keyword directly to the search_genetics tool. This finds genetics by name or general keywords within the Kannapedia database.
What happens if I try to search for a terpene that isn't in the database? +
The search_by_terpene tool will return a structured error message, letting you know the terpene isn't recognized. You can then refine your search with a valid terpene name.
Is the data retrieved using `get_strain_detail` limited to just the lineage? +
No, get_strain_detail provides full data. It includes lineage, descriptions, reported effects, and dominant terpenes for the specific strain you query.
Does the `search_by_effect` tool support multiple, combined effects? +
Yes, the search_by_effect tool accepts multiple effects in a single request. It filters strains associated with all the specified outcomes.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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