"namespace:.run.mcpize.bintu-web-reader" matching MCP servers:

Enables AI assistants to read COVID-19 lateral flow test results from photographs by calling a deployed computer-vision pipeline, returning verdicts like positive or negative with confidence.

Enables multimodal clients to browse server-side knee MRI studies, read reports, enumerate series, page through DICOM image previews, and inspect native-resolution details.

MCP server for OpenBCI hardware via BrainFlow, enabling board connection, streaming, signal processing, and export with a web dashboard.

A Model Context Protocol server for PyLabRobot that exposes liquid handler, plate reader, thermocycler, and heater-shaker as MCP tools. It ships in simulation mode by default, allowing end-to-end testing without hardware.

Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

Enables querying of per-residue missense tolerance, Pfam domain annotations, and variant counts for human transcripts by wrapping the MetaDome web service. Provides MCP tools for resolving transcripts, requesting tolerance landscapes, and identifying constrained regions.

An MCP server providing public plant bioinformatics APIs including UniProt, NCBI, InterProScan, PDB, AlphaFold, Ensembl Plants, and web-based resources like Sol Genomics and BAR, without local data. It supports gene lookups, protein summaries, structure retrieval, and functional annotations through natural language.

MCP server that connects AI assistants to a live Ketcher window, the open-source web-based chemical structure editor. Draw, edit, and organize structures directly in the canvas you have open.

This MCP server enables secure, read-only access to synthetic preventive-care patient records and bounded IRIS namespace health metrics through a small set of allowlisted, parameterized tools.

Enables AI agents to discover, configure, measure, and operate simulated lab instruments (microscope, oscilloscope, robot arm, liquid handler and reader) through a single tool layer. Requests are validated before dispatch, confirmed against the instrument's own readback, and qualified with units, age, calibration, uncertainty, and quality flags, so mismatches, stale data, and partial effects are reported instead of silently retried.

An MCP server that gives AI agents a unified interface to clinical/research EEG workflows: signal processing, source imaging, persistent dataset/EHR storage, and web visualization.

An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.

Enables dental research and clinical intelligence by providing tools to search PubMed, systematic reviews, verify citations, and query ClinicalTrials.gov directly from Claude Web and Claude Desktop.

Enables MCP-capable AI clients to characterize proteins end to end: PDB/mmCIF validation, sequence extraction and typing, pLDDT confidence summaries, metal-site geometry with bidentate chelate detection, GROMACS trajectory metrics and plots, and live UniProt, AlphaFold DB, and RCSB lookups. Also ships a point-and-click Protein Lab web UI (and a persistent run registry) so students and wet-lab biologists can get the same results without any client setup.