Connect AI to Scispot with MCP
Lab work gets fragmented
Lab data often lives across labsheets, experiments, samples, protocols, and documentation.
That makes simple work take longer than it should:
- searching across different records
- updating rows in bulk
- tracking sample locations
- pulling together results, notes, and materials
Teams end up spending time digging through folders, filtering data manually, or switching between tools just to answer straightforward questions.
Scispot MCP brings AI directly into one conversational layer
The Scispot MCP Server gives AI assistants direct access to your Scispot workspace using your existing permissions.
With plain English, teams can:
- search labsheets, experiments, and protocols
- create or update records
- track samples and storage locations
- review documentation and connect related data
It works with major AI platforms that support MCP, including Claude, ChatGPT, and Gemini. No coding is required.
What teams get
Plain-English access to lab data
Ask for samples, experiments, protocols, or results without writing queries or digging through folders.
Faster routine updates
Handle bulk row updates, experiment notes, QC inputs, and cross-references through conversation.
Better visibility across Scispot
Search across labsheets, experiments, samples, and documentation from one place.
How it works
Connect your AI platform
Set up the Scispot MCP connector in a supported AI assistant such as Claude, ChatGPT, or Gemini.
Authenticate with Scispot
Use your Scispot account and API key to authorize access with your existing permissions.
Ask and act in plain English
Search data, update records, create experiment notes, and review protocols through conversation.
What it covers
Labsheets
Search rows, view schemas, add records, update data, and browse labsheet folders.
Experiments and protocols
Read experiments, create new entries, append observations, and find protocols.
Samples and locations
Check manifests, browse storage locations, and view samples inside Labflows.
Secure access and control
Use OAuth authentication, scoped permissions, encrypted transit, and audit logging.
Bring AI into daily lab work
