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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
calculate_4pl_curveC

Fits and resolves 4-Parameter Logistic non-linear regression sigmoidal dose-response fields.

assess_parallelismB

Computes shared slope and asymptotes consistency via F-Test and TOST metrics.

calculate_z_factorC

Validates microplate HTS metrics from positive and negative control data series.

parse_large_plate_streamC

Memory-safe stream parser for 96-well or 384-well microplate layout string rows.

resolve_biological_entity_safeB

Fault-tolerant Circuit Breaker query for ChEBI or PubChem compound resolution.

detect_assay_outliersC

Employs Grubbs and IQR mathematical boundaries to filter anomalous microplate artifacts.

calculate_lod_loqC

Calculates Limit of Detection (LOD) and Limit of Quantitation (LOQ) from background blanks.

normalize_dilution_potencyC

Scales observed calculations dynamically across dilution ratios back to original stock concentration.

export_cdisc_sdtmC

Converts unstructured JSON payload records into CDISC SDTM / Allotrope compliant models.

generate_gxp_audit_logA

Records immutably hashed operation logs to maintain compliance with FDA 21 CFR Part 11.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 10 tools

Disambiguation5/5

Each tool targets a distinct function: curve fitting, parallelism assessment, Z-factor calculation, plate parsing, entity resolution, outlier detection, LOD/LOQ, dilution normalization, data export, and audit logging. No two tools overlap in purpose, and descriptions clarify their unique roles.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, such as calculate_4pl_curve, parse_large_plate_stream, and generate_gxp_audit_log. The naming is uniform and predictable, making it easy to infer tool behavior.

Tool Count5/5

The server contains 10 tools, which is within the ideal 3-15 range for a well-scoped domain. Each tool covers a distinct aspect of biopharma data analysis and compliance without redundancy or bloat.

Completeness4/5

The tool surface covers the primary assay analysis workflow: input parsing, entity resolution, statistical analysis (curve fitting, parallelism, Z-factor, outliers, LOD/LOQ), normalization, and output/export with audit logging. Minor gaps exist, such as the absence of direct IC50 extraction or data visualization tools, but these are not critical to core functionality.

Maintenance

ActivitySlowing
ResponsivenessNo issues