GenBank/NCBI API MCP. Query genomic sequences and protein data directly.
Works with every AI agent you already use
…and any MCP-compatible client
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GenBank/NCBI API. Access the National Center for Biotechnology Information (NCBI) for genomic data. Use this server to search, audit, and retrieve metadata for biological sequences, proteins, and UIDs.
Your AI agent can query multiple databases like 'nuccore' or 'protein' to build a full picture of molecular biology research without needing to visit a bioinformatics portal.
What your AI agents can do
Check api status
Verifies if the NCBI E-utilities service is currently operational.
Get ncbi summary
Retrieves a full summary for a single, specific NCBI sequence ID.
List ncbi databases
Lists all the available NCBI databases that can be queried.
The agent searches specific NCBI databases for biological sequences using a query term.
The agent retrieves a detailed summary for a single, specified NCBI sequence ID.
The agent provides a list of all databases managed by NCBI that your client can query.
The agent verifies if the core NCBI E-utilities service is currently running and available.
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Supported MCP Clients
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GenBank/NCBI API: 4 Tools for Genomics Research
Use these four tools to query, audit, and retrieve structured data from NCBI's vast collection of genomic and molecular biology records.
019d843echeck api status
Verifies if the NCBI E-utilities service is currently operational.
019d843eget ncbi summary
Retrieves a full summary for a single, specific NCBI sequence ID.
019d843elist ncbi databases
Lists all the available NCBI databases that can be queried.
019d843esearch ncbi sequences
Searches for biological sequences across specified NCBI databases using a query term.
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
This server hooks your AI agent straight into the NCBI E-utilities, so you're talking directly to authoritative molecular biology data. You don't gotta mess with a bioinformatics portal or juggle complex searches yourself. Your agent handles the API calls, letting you just focus on the research.
search_ncbi_sequences lets your agent search specific NCBI databases for biological sequences using a query term, pulling high-resolution metadata, UIDs, and titles. list_ncbi_databases provides a list of every NCBI database your client can query. get_ncbi_summary retrieves a detailed summary for a single, specific NCBI sequence ID, which helps classify archival data. check_api_status verifies if the core NCBI E-utilities service is currently running and available.
How GenBank/NCBI API MCP Works
- 1 Connect your preferred AI client to the GenBank/NCBI API server.
- 2 Tell your agent the specific data you need (e.g., 'I need the summary for UID 12345').
- 3 The agent selects the right tool (like
get_ncbi_summary) and runs the query, returning the structured metadata to you.
The bottom line is that your AI client handles all the complex API calls, turning deep bioinformatics research into a simple conversation.
Who Is GenBank/NCBI API MCP For?
Biologists, bioinformaticians, and academic researchers who work with genomic data. You're the person tired of spending hours manually navigating NCBI portals, copying UIDs, and cross-referencing disparate data sets. This server puts the full NCBI database directly into your workflow.
Uses search_ncbi_sequences to audit molecular patterns across multiple databases, verifying UIDs and pulling metadata without manual portal searches.
Directs the agent to pull summaries using get_ncbi_summary for specific sequence IDs, assisting in literature reviews and classification.
Checks the API status with check_api_status before running large-scale queries, ensuring the entire genomic research pipeline remains operational.
What Changes When You Connect
- Sequence Auditing: Stop manually searching. Use
search_ncbi_sequencesto find thousands of genetic sequences by keyword, getting metadata and UIDs instantly. - Deep Dive Summaries: Need details on one record?
get_ncbi_summarypulls the technical and bibliographic summary for a specific ID, eliminating the need to click through NCBI's complex summary pages. - Database Mapping: Before querying, use
list_ncbi_databasesto see every available database (like 'nuccore' or 'protein'). This stops you from guessing which database holds the data you need. - Workflow Reliability: Run
check_api_statusat the start of your session. This confirms the NCBI E-utilities service is online, preventing expensive failed queries later. - Time Savings: Your agent handles the complex API calls. You don't write boilerplate code or manually structure multiple URL parameters; you just talk to your agent.
Real-World Use Cases
Validating a new protein target
A computational biologist needs to check all available data types for 'human insulin.' They ask their agent to first list_ncbi_databases to scope the search, then run search_ncbi_sequences against the 'protein' database. Finally, they use get_ncbi_summary on the top result to get the full metadata for their paper.
Cross-referencing experimental data
A researcher has a list of UIDs and needs to ensure they are all in the correct databases. They first run check_api_status to confirm service health. Then, they use search_ncbi_sequences with multiple UIDs to audit the batch, confirming the data integrity before publishing.
Preliminary research scope mapping
A student wants to know what kind of genetic data exists for a gene family. They tell their agent to list_ncbi_databases. The agent shows them all options, allowing the student to narrow down their focus from general genomics to, say, 'nuccore' or 'nuccore' based on the results.
Deep-diving into a specific record
A bioinformatician finds a promising UID but needs more context. They ask the agent to use get_ncbi_summary on that UID. This immediately gives them the full title, publication date, and technical notes without opening a single browser tab.
The Tradeoffs
Treating the API like a single search box
A user tries to pass every piece of information (keywords, databases, summary request) into one massive prompt. The agent fails because the system needs distinct, sequential tool calls.
→
Always start by asking the agent to list_ncbi_databases to define the scope. Then, use search_ncbi_sequences to get the list of candidates. Only use get_ncbi_summary after you have a specific UID.
Assuming the service is up
Running complex queries like search_ncbi_sequences right before a deadline without checking service health. The query fails silently or times out, wasting critical minutes.
→
Always run check_api_status first. If it reports an issue, you know to wait or switch to an alternative data source. This prevents failure.
Ignoring database types
Searching for protein data using a general keyword search without specifying the correct database, leading to irrelevant or incomplete results.
→
Use list_ncbi_databases to confirm the correct database name (e.g., 'protein' vs. 'nuccore'). Then, pass that specific database name to search_ncbi_sequences.
When It Fits, When It Doesn't
Use this if your task is strictly data retrieval or auditing against published genomic records. You need to know what the NCBI databases say about sequences, proteins, or UIDs.
Don't use this if you need to synthesize novel biological hypotheses from unstructured text, or if you are building a predictive model that relies on external, non-NCBI data sources. For those jobs, you'll need a dedicated knowledge graph or simulation platform.
If you only need general scientific information, Google is fine. But if you need verifiable, structured metadata from the authoritative source, this server is required. The process is: check status $\rightarrow$ list databases $\rightarrow$ search/summarize.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GenBank/NCBI. 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
Sifting through NCBI's massive data portals is a nightmare.
Today, getting data means opening the NCBI website. You find the database you need, type your keywords, run the search, and then you get a list of results. If you need a summary, you click the result, which takes you to a new page. If you need a different piece of metadata, you copy a UID and paste it into a separate tool. It's 15 clicks and 10 pieces of copy-pasting.
With the GenBank/NCBI API, you just tell your agent what you want. Your agent runs the necessary tools in sequence—like `search_ncbi_sequences` followed by `get_ncbi_summary`—and returns all the structured data directly to your chat. You don't leave the chat interface.
GenBank/NCBI API MCP Server: Get structured biological data.
You eliminate the manual steps of navigating the NCBI site, running multiple searches, and then manually correlating the UIDs and metadata across different tabs. The agent manages the entire workflow, keeping your focus on the science, not the UI.
It's a direct pass to the data. The agent doesn't just give you a link; it gives you the clean, actionable metadata you can use immediately.
Common Questions About GenBank/NCBI API MCP
How do I check if the GenBank/NCBI API is working with `check_api_status`? +
Run check_api_status first. This tool immediately confirms the operational status of the NCBI E-utilities service, letting you know if your session should proceed with data queries.
What is the difference between `search_ncbi_sequences` and `get_ncbi_summary`? +
search_ncbi_sequences finds many records based on keywords. get_ncbi_summary gets the full, detailed summary for one specific record ID.
What kind of data can I get using `list_ncbi_databases`? +
This tool lists all available NCBI databases (like 'nuccore' or 'protein'). You use this to confirm the right scope before running a search.
Can I search for proteins and nucleotides at the same time? +
You first use list_ncbi_databases to confirm the database names. Then, you run search_ncbi_sequences multiple times, specifying the correct database name for each type of sequence.
How does `search_ncbi_sequences` handle different database types like 'nuccore' and 'protein'? +
It allows you to specify which NCBI databases you want to search. You just pass the database type (like 'nuccore' or 'protein') as a parameter to the function. This lets you scope your search immediately.
Do I need an API key to use the `get_ncbi_summary` tool? +
No, you don't need an API key because the underlying NCBI E-utilities service is free and open. You only need to connect your AI client to the Vinkius Marketplace.
What happens if I use `search_ncbi_sequences` with a non-existent sequence ID? +
The tool returns an error message detailing the failure. It's designed to fail gracefully, so your agent can catch the error and tell you exactly what went wrong.
Is there a limit to how many records I can retrieve using `list_ncbi_databases`? +
The tool lists all available databases, which is a metadata operation. There isn't a specific limit on the list itself, but remember that querying data from those databases might have rate limits.
Is an API Key required for GenBank/NCBI API? +
No. The NCBI E-utilities API is a free and open service provided by the United States government. This server works out of the box without any static credentials required.
Which databases are supported? +
The API supports multiple databases including 'nuccore' (Nucleotide), 'protein', 'pubmed', and 'gene'. Use the list_ncbi_databases tool to see the full list.
What is an NCBI UID? +
A UID is a unique identifier assigned to each record in an NCBI database. Your agent uses these UIDs to retrieve specific summaries and detailed metadata.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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