Integratie / Analytics & Data
Synthesize Bio MCP integratie
Synthesize Bio MCP lets agents start and monitor bulk or single-cell gene-expression analyses from natural-language experiment requests.
Over Synthesize Bio MCP
Synthesize Bio MCP is a toolkit that runs bulk and single-cell gene-expression analyses from natural-language experiment requests. Use it to translate experiment intents into reproducible pipelines and monitor results without bespoke integration.
Alle integraties- Categorie
- Analytics & Data, Developer Tools & DevOps, AI & Machine Learning
- Verbinding
- OAuth
- Type
- Tool
- Acties
- 5
- Tags
- library
Voorbeeldprompts
Wat je Growf kunt vragen te doen met Synthesize Bio MCP
- “Run differential expression on latest samples”
- “Start single-cell pipeline for patient sample”
- “Fetch results and generate QC summary report”
Beschikbare acties
5 acties die je agents kunnen uitvoeren in Synthesize Bio MCP
Analyze gene expression
Starts a differential gene expression analysis using Synthesize Bio's AI platform. Requires the resolution_id returned by resolve_sample_metadata; raw natural-language prompts are not accepted. Requires `user_confirmed_metadata: true`. When the flag is missing or false, the call is rejected with fa…
Get analysis results
Polls the status of a gene expression analysis. Each call waits server-side for a short bounded window and may return earlier if progress is detected. Responses always include a `structuredContent` object (declared by the tool's `outputSchema`); MCP clients read from `structuredContent` directly ra…
Get counts data url
Returns a presigned S3 URL to download the raw gene expression counts data (JSON) produced by a completed or in-progress analysis job. The data is typically large (20,000+ genes by N samples) and requires an environment with direct network access. The JSON has the following structure: { gene_order:…
Get metadata schema
Returns the structured-metadata schema used to turn a natural-language experiment description into sample groups. Response fields include `group_schema` (the JSON shape of one sample group), the `fields` and `perturbation_fields` inventory for the active metadata version, and `instructions` for bui…
Resolve sample metadata
Deterministically harmonizes already-structured sample `groups` to Synthesize Bio's controlled ontology vocabulary. Does not accept a natural-language prompt and makes no AI calls. Input: `groups` — a JSON array of sample-group objects matching get_metadata_schema's `group_schema`. Returns a resolu…
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