"AI Generated Text Detection Tools" matching MCP servers:

Enables detection of duplicate patient records for a Master Patient Index by scoring record pairs and providing verdicts and reasons, intended for synthetic data only.

Enables plant disease detection through an MCP server powered by AI models, supporting deployment on Railway or local 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.

Provides access to an AI medical chatbot API for healthcare assistance, enabling natural language interactions such as neurosurgery queries.

Enables clinical question answering via OpenEvidence with citation verification, including tools to ask questions, retrieve results, and follow up, plus an integrated skill to check citations against primary sources.

Provides in-process RDKit cheminformatics operations — descriptors, fingerprints, similarity and substructure search, reaction enumeration, standardization, and 3D conformer generation — for AI agents.

Enables healthcare AI interactions via MCP protocol with built-in EU AI Act compliance. Provides quick installation, well-documented API, and enterprise support.

Enables AI-powered dental X-ray analysis and treatment planning using YOLOv11 and clinical guideline RAG, integrated with MCP for use with Claude and other AI assistants.

Enables LLM agents to query de-identified FHIR-shaped hospital data through audited, read-only tools for patients, encounters, conditions, observations, medications, and interaction checks, while any medication write stays a draft that a clinician must confirm out-of-band.

Optometry AI Safety - MCP server providing AI-powered tools and automation by MEOK AI Labs

A hosted MCP server exposing US hospital chargemaster cost data to AI assistants.

Provides 12 medical tools for symptom checking, lab report explanation, emergency detection, and health advice, emphasizing safety and disclaimers.

Provides FHIR resource validation, synthetic test fixture generation, and HIPAA-safe logging review as MCP tools for AI agents.

Enables AI-driven post-discharge patient monitoring and care coordination through tools for symptom triage, recovery tracking, exercise recommendation, and clinical reporting.

Role-based AI assistant for hospital workflows, patient FAQ, staff tools, and secure document approvals with MCP-style tool access.

A Claude Code extension that embeds a senior athenahealth integration engineer in your development workflow, proactively catching data loss bugs and guiding safe DataView queries and API integrations.

Patient Safety AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables interaction with the CEDAR (Center for Expanded Data Annotation and Retrieval) metadata repository to fetch templates and retrieve template instances. Supports querying structured metadata and biomedical data annotations through the CEDAR platform.

Enables searching and fetching articles from PubMed, a database of biomedical literature.

Enables querying FDA drug label information including adverse reactions, warnings, and indications via natural language.