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Why use Scispot MCP Server with Pydantic AI?

Bring Lims
to Pydantic AI

Create your Vinkius account to connect Scispot to Pydantic AI and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

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List Audit LogsList BatchesList CertificatesList ClientsList InstrumentsList OrdersList PlatesList ResultsList RunsList SamplesList TestsList Workflows
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Scispot

What is the Scispot MCP Server?

Connect your Scispot API-first Cannabis Testing Laboratory LIMS to any AI agent and take full control of your laboratory operations, quality assurance workflows, and regulatory compliance through natural conversation.

What you can do

  • Sample Management — Track all cannabis samples received with chain of custody, testing priority, and real-time status updates
  • Test Panels — Browse available analytical methods including potency, terpenes, pesticides, heavy metals, mycotoxins, and microbials
  • Analytical Results — Access complete test findings with pass/fail determinations against state-specific regulatory limits
  • Certificates of Analysis — Retrieve all issued CoAs with QR codes for consumer verification and automatic Metrc submission
  • Batch Traceability — Monitor production batches through laboratory testing with full seed-to-sale linkage
  • Plate Management — Oversee high-throughput batch processing with 96-well and 384-well plate tracking
  • Analytical Runs — Review instrument run data including QC metrics, system suitability, and analyst assignments
  • Order Tracking — Monitor client testing orders from submission through invoicing with ETA predictions
  • Instrument Health — Verify calibration status, maintenance schedules, and operational readiness for HPLC, GC-MS, ICP-MS systems
  • Workflow Automation — Track standardized laboratory processes from sample intake to CoA approval with bottleneck identification
  • Client Directory — Access complete client profiles including license types, testing history, and custom panel configurations
  • Audit Trails — Retrieve comprehensive operation logs for FDA 21 CFR Part 11 compliance and ISO/IEC 17025 inspection readiness

How it works

  1. Subscribe to this server
  2. Enter your Scispot API key (generated from Account Settings)
  3. Start managing your cannabis laboratory from Claude, Cursor, or any MCP-compatible client

No more navigating complex LIMS dashboards or manually reconciling sample queues. Your AI acts as a dedicated laboratory information systems analyst.

Who is this for?

  • Laboratory Directors — verify instrument calibration, review pending CoAs, monitor throughput metrics, and ensure ISO/IEC 17025 compliance without logging into Scispot
  • Quality Managers — audit test results, investigate deviations, track non-conformance workflows, and prepare inspection documentation through conversational queries
  • Analytical Chemists — check sample queues, verify test panel configurations, access run histories, and review QC metrics directly from the bench
  • Client Relations — provide cultivators and processors with real-time sample status updates, CoA delivery confirmations, and order progress reports

Built-in capabilities (12)

list_audit_logs

Each audit log entry contains the precise timestamp (ISO 8601), performing user name and ID, action type (sample created, result modified, CoA issued, workflow step completed, user permission changed, instrument calibration recorded), affected record ID and type, previous and new values for any modifications, IP address and user agent, and justification comment (if required for critical changes). Fundamental for regulatory inspections, data integrity investigations, deviation root cause analysis, FDA 21 CFR Part 11 compliance, and ISO/IEC 17025 quality system requirements. AI agents use this to reconstruct event sequences during quality investigations, identify unauthorized or suspicious changes, monitor user activity patterns, generate audit-ready documentation packages, and demonstrate data integrity to regulatory inspectors. List all audit trail entries for laboratory operations and data modifications

list_batches

Each batch entry contains the batch ID, producing facility license number, batch size and unit of measure, cannabis product type, harvest or manufacture date, linked samples submitted for testing, batch testing status (pending, partial, complete, failed), final disposition (released, quarantined, rejected, destroyed, reworked), and seed-to-sale tracking identifiers (Metrc UID, state compliance tags). Essential for batch-level compliance monitoring, recall management, regulatory reporting, and inventory reconciliation. AI agents reference this when tracing contamination issues, verifying batch clearance for distribution, generating lot-based compliance reports, or investigating quality deviations. List all cannabis production batches tracked through laboratory testing

list_certificates

Each CoA record includes the certificate number, linked sample and batch, issuing laboratory name and accreditation number, comprehensive analytical results (potency profile with THC/CBD percentages, terpene fingerprint with individual concentrations, contaminant screening results for pesticides, heavy metals, mycotoxins, and microbials), regulatory compliance statement, authorized signatory name and signature, issuance date, expiration date, and QR code for consumer verification. Critical for product release decisions, regulatory audit documentation, consumer transparency programs, and integration with state traceability systems (Metrc) and retail platforms (WeedMaps). AI agents use this to verify CoA authenticity, confirm batch compliance status, generate client-facing documentation packages, and ensure automatic regulatory submissions. List all Certificates of Analysis (CoA) issued by the laboratory

list_clients

Each client record contains company name, license number and type (cultivation facility, processing plant, dispensary, distributor, third-party tester), primary contact information, account status (active, suspended, pending), billing terms, sample volume history, preferred communication methods, and any special testing requirements or custom panels configured. Essential for laboratory client relationship management, sample intake workflows, account-based reporting, and regulatory compliance documentation. AI agents should reference this when identifying sample ownership, generating client-specific reports, verifying active testing contracts, communicating results, and analyzing client testing patterns. List all clients (cultivators, processors, retailers) using laboratory services

list_instruments

Each instrument record contains the instrument name (HPLC system, GC-MS, ICP-MS, qPCR thermocycler, spectrophotometer), manufacturer, model number, serial number, installation location, calibration status, last calibration date, next scheduled maintenance, qualification status (IQ/OQ/PQ completion), associated test methods, and current operational status (active, under maintenance, offline, decommissioned). Critical for instrument qualification management, preventive maintenance scheduling, analytical data integrity verification, and regulatory inspection readiness. AI agents should reference this to verify instrument readiness before assigning tests, schedule calibration activities, troubleshoot analytical failures, and generate equipment utilization reports. List all laboratory instruments with calibration and maintenance status

list_orders

Each order record contains the order ID, requesting client company, order date, requested test panels, number of samples included, priority level (standard, rush, priority), order status (pending, in-progress, completed, invoiced), assigned laboratory team, estimated completion date, and billing information. Critical for order management, client communication, laboratory capacity planning, and revenue tracking. AI agents use this to monitor order progress, identify bottlenecks, prioritize workflow assignments, communicate status updates to clients, and generate order fulfillment reports. List all testing orders and service requests from clients

list_plates

Each plate entry contains the plate ID, plate format (96-well, 384-well), assay type assigned, number of samples loaded, number of standards and controls, run date, associated instrument, and processing status (prepared, in-run, completed, failed). Critical for managing high-volume testing operations, optimizing throughput, tracking reagent usage, and ensuring data integrity for multi-sample analytical runs. AI agents use this to monitor plate preparation status, identify incomplete runs, optimize well assignments, and troubleshoot analytical failures at the plate level. List all laboratory plates used for batch sample processing

list_results

Each result contains the result ID, linked sample and batch, test panel performed, comprehensive analytical findings (THC/CBD potency percentages, full terpene profiles, pesticide residue levels, heavy metal concentrations, mycotoxin detection, microbial counts), pass/fail determination against regulatory limits, analyst who performed the test, reviewer approval status, and date of completion. Fundamental for quality assurance workflows, client notification processes, regulatory data submissions, and product release decisions. AI agents should query this to verify sample compliance before releasing Certificates of Analysis, advising clients on product disposition, or preparing regulatory reports. List all laboratory test results with complete analytical data

list_runs

Each run entry contains the run ID, instrument name and type (HPLC, GC-MS, ICP-MS, spectrophotometer), method or assay performed, start and end timestamps, operating analyst or technician, number of samples processed, quality control results (standard recoveries, blank checks, duplicate precision), system suitability status, and overall run disposition (accepted, rejected, requires review). Essential for instrument utilization tracking, method performance monitoring, analyst productivity assessment, and regulatory audit preparation. AI agents should query this to verify run completion status, identify failed runs requiring reanalysis, schedule instrument maintenance, and generate throughput reports. List all analytical runs executed on laboratory instruments

list_samples

Each sample contains the unique sample ID, submitting client or cultivator, sample type (flower, edible, concentrate, topical, cartridge), received date, testing priority level, sample condition upon receipt, chain of custody documentation, and current testing status (received, in-progress, completed, failed, on-hold). Critical for laboratory workflow management, sample intake tracking, turnaround time monitoring, and seed-to-sale traceability compliance. AI agents use this to manage sample queues, predict completion dates, prioritize rush orders, and notify clients about status changes. List all cannabis samples submitted for laboratory testing

list_tests

Each test entry includes the test name (potency, terpenes, pesticides, heavy metals, mycotoxins, microbials, residual solvents, water activity, moisture content, homogeneity), test methodology (HPLC, GC-MS, ICP-MS, ELISA, qPCR, LC-MS/MS), accreditation status, standard turnaround time, pricing tier, and regulatory limits per jurisdiction. Essential for test panel configuration, method validation, ISO/IEC 17025 compliance, and state-specific cannabis testing requirements. AI agents reference this when configuring sample test orders, explaining testing scopes to clients, verifying analytical method accreditation, and ensuring compliance with regulatory testing mandates. List all analytical test panels and methods available in the laboratory

list_workflows

Each workflow entry contains the workflow name (sample intake and login, potency testing, contaminant screening, CoA review and approval, sample disposal, non-conformance investigation), step definitions with sequential order, assigned roles and responsibilities at each step, quality control checkpoints and decision gates, average completion time, current instances in progress, and bottleneck indicators. Essential for laboratory operations management, staff task assignment, process optimization, and ISO/IEC 17025 quality management system compliance. AI agents use this to guide technicians through standardized testing procedures, identify workflow bottlenecks causing delays, ensure quality checkpoints are not bypassed, and generate process efficiency reports. List all laboratory workflow templates and active processes

Why Pydantic AI?

Pydantic AI validates every Scispot tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

  • Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

  • Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Scispot integration code

  • Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

  • Dependency injection system cleanly separates your Scispot connection logic from agent behavior for testable, maintainable code

P
See it in action

Scispot in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Scispot with Vinkius?

The Scispot connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Scispot details →
Scispot
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Scispot using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Scispot and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Scispot to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Scispot for Pydantic AI

Every request between Pydantic AI and Scispot is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my AI automatically verify if a cannabis sample has passed all required tests and is ready for Certificate of Analysis issuance?

Yes! Use the list_results tool to fetch all completed analytical findings for a specific sample. Your AI agent will respond with comprehensive pass/fail determinations across potency, terpenes, pesticides, heavy metals, mycotoxins, and microbial panels. Once all state-mandated tests show passing results, use list_certificates to verify CoA generation status and confirm automatic Metrc submission. Always verify regulatory limit compliance before releasing products to distribution or retail channels.

02

How do I quickly identify which laboratory instruments are approaching calibration expiry or require preventive maintenance?

Simply ask the agent to run the list_instruments action. It will compile all analytical equipment tracked via Scispot GLUE integration with calibration status, last service date, next scheduled maintenance, IQ/OQ/PQ qualification records, and current operational state. The AI will proactively highlight any HPLC, GC-MS, ICP-MS, or other systems approaching calibration expiry or overdue for preventive maintenance. This ensures your laboratory maintains ISO/IEC 17025 compliance, analytical data integrity, and inspection readiness at all times.

03

Does the Scispot integration allow modifying test results, deleting samples, or revoking issued Certificates of Analysis?

No. The current toolset focuses strictly on read-only querying and analytical operations — listing samples, reviewing results, checking certificates, monitoring workflows, and tracking instrument health. State alteration operations (modifying test data, deleting samples, revoking certificates, or changing approvals) are not currently exposed. This design assures your laboratory records remain secure against destructive queries, maintains complete audit trail integrity for regulatory inspections, and preserves data immutability required by FDA 21 CFR Part 11 and ISO/IEC 17025 standards.

04

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

05

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

06

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Scispot MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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