- PASS
- FAIL
- REVIEW
- LOG
Short answer
Can my AI check if a batch meets regulatory limits?
Yes. Your agent pulls test data and compares it to your required specifications to identify non-compliant batches. You'll see a clear breakdown of passing and failing results.
Compliance outcomes
Where every result lands.
The AI categorizes every test result based on your limits.
PASS
Compliant batches
The AI identifies results that fall within your allowed ranges. You get a clean list of batches ready for release.
FAIL
Non-compliant batches
The agent flags any values that exceed your regulatory limits. This highlights exactly which batches need investigation.
REVIEW
Human intervention needed
If data is missing or ambiguous, the AI marks it for your review. You decide how to handle these edge cases.
LOG
Audit readiness
The AI organizes the findings into a structured format. This makes it easy to pull reports for quality assurance.
The workflow
What your AI does when the data arrives.
Your agent handles the heavy lifting of data retrieval and comparison.
Fetch test data
The agent pulls the latest analytical findings from your Scispot instance.
list_testsRetrieve specific results
It gathers the exact values needed for the compliance check.
list_resultsCompare against limits
The agent checks every value against your predefined regulatory thresholds.
list_resultsFlag discrepancies
The AI isolates any batch that fails to meet the required standards.
list_tests
Try it
Copy these to start.
Use these prompts once you have connected Scispot.
Starting points
Swap out the specific batch IDs or test names to match your current run.
Scispot Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_akZfVzl11IYePvaboOOC7RBeCCPiebg0JzENAhcU/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Scispot capabilities are ready to use.
{
"mcpServers": {
"scispot-mcp": {
"url": "https://edge.vinkius.com/vk_preview_akZfVzl11IYePvaboOOC7RBeCCPiebg0JzENAhcU/mcp"
}
}
}Check the results for batch #8829 and tell me if it passes our purity limits.
List all tests from the last 24 hours and flag any that are out of spec.
Compare the latest stability test results against our standard regulatory limits.
Which batches in the current run failed the heavy metal analysis?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Scispot once, then ask.
Just link your Scispot account through Vinkius. Your credentials stay encrypted, and you can immediately start asking your agent about your lab data.
Connect Scispot to your AIFAQ
How this task behaves
- 01
Can the AI change my test results in Scispot?
No. The AI can only read data using the available tools; it cannot edit or delete your records.
- 02
Does the AI automatically release a batch?
No. The AI only identifies if a batch is compliant. You must perform the final release manually.
- 03
How does the AI know what my regulatory limits are?
You must provide those limits in your prompt or within the chat context so the agent has a baseline for comparison.
- 04
Can I use this with Claude or Cursor?
Yes, as long as you are using an MCP-compatible client.
- 05
What happens if a test result is missing?
The AI will notify you that it cannot complete the compliance check due to missing data.
More questions about Scispot? See everything the Scispot Connector can do
Connect Scispot to Claude, Cursor, ChatGPT & more
