benchling-integration
Helps your agent connect with the Benchling system. It allows automating lab data recording and managing scientific information.
What it does
This tool connects you to Benchling, a system used in labs to manage scientific data. It allows you to automate tasks like importing DNA sequences, checking inventory, or exporting information.
When to use it
- ✓Import DNA sequences from a file into Benchling.
- ✓Check what materials (inventory) are in a specific lab location.
- ✓Export lists of DNA sequences with specific information.
Example of what to ask your AI
“Import the sequences from the file 'sequences.fasta' into the 'lib_example' folder.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool uses special code (SDK) to communicate with Benchling. You need to set up access with your credentials, and then you can ask it to perform actions like reading or writing data.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add K-Dense-AI/scientific-agent-skills --skill benchling-integrationOr download just the file:
curl -L https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/benchling-integration/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Benchling Integration
When to use
Use this skill for Benchling registry entities, sequence imports, inventory, ELN entries, workflow tasks, apps, event-driven integrations, and warehouse analytics.
Reviewed 2026-09-30: examples target the released benchling-sdk 1.25.0 and its stable v2 API models. The current authentication guide recommends V3 for new development, while the V3 guide still describes endpoint-specific early access. Confirm your tenant's V3 availability and stability before migrating; these v2 SDK examples must not be mechanically rewritten to V3.
SDK imports, model serialization, and request construction were checked locally against 1.25.0. Tenant-dependent examples are illustrative: no authenticated requests, mutations, AWS deployment, or warehouse connection were run.
Workflow
- Identify the tenant, API version, identity, and permissions. Use OAuth app credentials for background integrations; use delegated authorization when acting as an individual user. See authentication.
- Read the relevant schema and resolve actual folder, registry, status, and dropdown IDs. Preserve sequence alphabet/topology and sample units. A valid Python model does not establish biological correctness or satisfaction of a tenant's required fields.
- Read a small filtered page before writing. Use typed SDK methods and check their actual parameter names; not all services share the same CRUD naming convention.
- Construct and serialize a representative payload. For imports, retain external IDs and returned Benchling IDs so a retry can reconcile a partial run without duplicates.
- Perform the requested operation and read back the result. Check terminal async status;
completed polling can still mean
FAILED.
Setup and a read-only query
uv pip install "benchling-sdk==1.25.0"
import os
from benchling_sdk.benchling import Benchling
from benchling_sdk.auth.client_credentials_oauth2 import ClientCredentialsOAuth2
tenant_url = os.environ["BENCHLING_TENANT_URL"].rstrip("/")
benchling = Benchling(
url=tenant_url,
auth_method=ClientCredentialsOAuth2(
client_id=os.environ["BENCHLING_CLIENT_ID"],
client_secret=os.environ["BENCHLING_CLIENT_SECRET"],
token_url=f"{tenant_url}/oauth/token",
),
)
for page in benchling.dna_sequences.list(page_size=10, name_includes="plasmid"):
for sequence in page:
print(sequence.id, sequence.name)
break # deliberate first-page connectivity/permission check
A successful empty page is a valid connectivity result. It does not imply access to
all projects. There is no documented v2 users/me route or SDK users.get_me().
Important SDK conventions
- Import
fieldsfrombenchling_sdk.helpers.serialization_helpers. Its input is{"field_name": {"value": value}}, including the innervaluemapping. - Use
dna_sequence_idfor DNA updates andworkflow_task_idfor workflow updates. Workflow task creation requires aworkflow_task_group_id. - Entry methods are
create_entry,get_entry_by_id,list_entries, andupdate_entry. list()usually returns pages; iterate twice to reach the objects.estimated_countis a property that can raiseNotImplementedError, not a method or guaranteed count.- Moving a tube uses
ContainerUpdate(parent_storage_id=...). Material transfer is a separate operation; it changes contents and quantities. - Register on creation with
registry_idplus eitherentity_registry_id(a human registry identifier) ornaming_strategy. Do not confuse those with the registry's ID.
Common use cases
Import FASTA sequences
Install Biopython separately (uv pip install biopython). This illustrative import
creates unregistered linear DNA; choose topology and resolve collisions before running.
from Bio import SeqIO
from benchling_sdk.models import DnaSequenceCreate
for record in SeqIO.parse("sequences.fasta", "fasta"):
payload = DnaSequenceCreate(
name=record.id,
bases=str(record.seq),
is_circular=False,
folder_id="lib_example",
)
created = benchling.dna_sequences.create(payload)
print(record.id, created.id) # persist this mapping for restart/reconciliation
Audit inventory under a location
…
FAQ
What is Benchling?
Benchling is a platform used in laboratories to organize and manage research data, such as DNA sequences, inventory, and experiments.
What is an SDK?
SDK stands for 'Software Development Kit'. It's a set of tools that helps developers create programs that interact with other systems, like Benchling.
Do I need to know how to code to use this?
Although the tool uses code behind the scenes, the goal is for you to be able to request tasks in simple language, and it will handle the technical part.
Details
Original description by the author
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.
Popularity
- GitHub stars
- 51k
- Ranking position
- #1837
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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