Ranomics Platform
Wet-lab triage for AI binder-design agents. Yeast display, mammalian display, DMS at library scale.
Should I use this
Quality & Safety
Findings (4)
- HIGH
- MEDIUMin estimate_cost
- MEDIUMin get_experiment_status
- INFOin estimate_cost
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mcp": {
"url": "https://mcp.ranomics.com/mcp"
}
}
}Remote endpoints
https://mcp.ranomics.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (7)
🟡list_targets
List the calibrated antigen catalogue. Each entry carries target_id, supported_experiment_types, and typical_campaign_range_usd. Use the target_id on submit_experiment to skip human scoping, or use the custom target shape for a one-off antigen.
Input Schema
{
"type": "object",
"properties": {}
}🟡estimate_cost(experiment_type, candidate_count, library_diversity, target_kind, target_id)
Non-binding USD cost estimate for a hypothetical submission. Pass target_kind='catalog' + target_id for a calibrated band (requires_human_quote=false), or target_kind='custom' for a placeholder order-of-magnitude band (requires_human_quote=true). Call BEFORE submit_experiment when budgeting matters.
Input Schema
{
"type": "object",
"properties": {
"experiment_type": {
"type": "string",
"enum": [
"yeast_display",
"mammalian_display",
"dms"
]
},
"candidate_count": {
"type": "integer",
"minimum": 0
},
"library_diversity": {
"type": "integer",
"minimum": 0
},
"target_kind": {
"type": "string",
"enum": [
"catalog",
"custom"
]
},
"target_id": {
"type": "string"
}
},
"required": [
"experiment_type"
]
}🟡submit_experiment(name, webhook_url, experiment_spec, idempotency_key)
Submit a binder panel for wet-lab triage. The experiment_spec mirrors the curl /api/v1/experiments contract: experiment_type (yeast_display/mammalian_display/dms), target (target_id or custom), library_design, and sequences as {user_key: amino_acid_string} (use ':' as a multi-chain separator). Optional webhook_url receives signed POSTs on every status transition. Optional idempotency_key dedupes retries. Returns the created experiment with status WaitingForConfirmation and a status_log. Poll get_experiment_status to track progress, get_experiment_results when status_log shows Done.
Input Schema
{
"type": "object",
"properties": {
"name": {
"type": "string"
},
"webhook_url": {
"type": "string",
"format": "uri"
},
"experiment_spec": {
"type": "object",
"properties": {
"experiment_type": {
"type": "string",
"enum": [
"yeast_display",
"mammalian_display",
"dms"
]
},
"target": {
"type": "object",
"properties": {
"target_id": {
"type": "string",
"minLength": 1
},
"custom": {
"type": "object",
"properties": {
"name": {
"type": "string",
"minLength": 1
},
"antigen_sequence": {
"type": "string"
},
"notes": {
"type": "string"
}
},
"required": [
"name"
]
}
}
},
"library_design": {
"type": "object",
"properties": {
"mode": {
"type": "string"
},
"diversity_estimate": {
"type": "integer",
"minimum": 0
},
"notes": {
"type": "string"
}
}
},
"sequences": {
"type": "object",
"additionalProperties": {
"type": "string",
"minLength": 1
}
}
},
"required": [
"experiment_type",
"target",
"sequences"
]
},
"idempotency_key": {
"type": "string",
"minLength": 8,
"maxLength": 128
}
},
"required": [
"experiment_spec"
]
}🟢get_experiment_status(experiment_id)
Poll an experiment by id. Returns the current status (Draft/WaitingForConfirmation/QuoteSent/WaitingForMaterials/LibraryConstruction/Sorting/NGS/DataAnalysis/InReview/Done), the orthogonal results_status (none/partial/all), and the status_log. Cheap; safe to poll every few minutes. Webhooks are preferred for production agents.
Input Schema
{
"type": "object",
"properties": {
"experiment_id": {
"type": "string",
"minLength": 1
}
},
"required": [
"experiment_id"
]
}🟢get_experiment_quote(experiment_id)
Fetch the quote for an experiment once status is QuoteSent. Returns quote_id, total_usd, currency (default USD), line_items, valid_until, and terms_url. If status is QuoteSent but the scoping team has not posted a price yet, total_usd is null and a 'note' field explains it is being finalised; poll again until total_usd populates. Pass the quote_id to confirm_quote to accept.
Input Schema
{
"type": "object",
"properties": {
"experiment_id": {
"type": "string",
"minLength": 1
}
},
"required": [
"experiment_id"
]
}🟢confirm_quote(quote_id)
Accept a quote. Moves the experiment from QuoteSent to WaitingForMaterials. Call after a human (or budget guard) has approved the total_usd from get_experiment_quote. Returns 409 quote_not_confirmable if status is not QuoteSent, or 409 quote_not_finalized if a price has not been posted yet (total_usd null). Fetch get_experiment_quote and wait for total_usd before confirming.
Input Schema
{
"type": "object",
"properties": {
"quote_id": {
"type": "string",
"minLength": 1
}
},
"required": [
"quote_id"
]
}🟢get_experiment_results(experiment_id)
Fetch results once results_status is 'partial' or 'all' (check via get_experiment_status first). Returns per-sequence pre/post counts, log2_enrichment, percentile, called_hit booleans, plus signed download URLs for the enrichment table CSV, hits FASTA, and (when opted in) raw FASTQ. Yeast-display result shape; mammalian and DMS use the same envelope.
Input Schema
{
"type": "object",
"properties": {
"experiment_id": {
"type": "string",
"minLength": 1
}
},
"required": [
"experiment_id"
]
}Community
Evidence