"A tool for finding people on X using their bio text" matching MCP servers:

Enables AI assistants to perform NCBI BLAST sequence similarity searches through natural language, supporting nucleotide and protein searches, custom database creation, and multiple output formats.

Enables AI assistants to perform quality control analysis on high-throughput sequencing data using FastQC and MultiQC. It supports single-file and batch processing of FASTQ/FASTA files and generates comprehensive, interactive summary reports.

An MCP server that enables AI assistants to generate, score, and analyze DNA sequences using the evo2 genomic foundation model. It supports multiple execution modes including local GPU, SLURM clusters, and the Nvidia NIM cloud API for tasks like variant effect prediction and sequence embedding.

Enables AI assistants to perform DNA/RNA sequence alignment using BWA (Burrows-Wheeler Aligner), supporting both short and long read alignment to reference genomes with indexing, BWA-MEM, and BWA-backtrack algorithms.

BioMCP is an open-source MCP server that connects any AI assistant to 15 open bioinformatics databases with zero configuration. It provides 23 tools for literature, sequences, BLAST, structures, enrichment, annotations, genomes, interactions, variants, domains, compounds, and single-cell data.

Veterinary clinic network in Moscow (20 clinics, open 24/7). Find a clinic with live ratings, check live prices for 900+ services, see open appointment slots, book a real visit, run a vet-approved symptom triage, check pet food safety, and query a knowledge base of 3,700+ vet-reviewed Q&As. Remote Streamable HTTP server at https://bio.vet/mcp, no auth required. Tools operate in Russian.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

High-strategic intelligence platform for life sciences that enables real-time clinical trial audits, competitive landscape mapping, regulatory cross-referencing, and financial milestone correlation using the Model Context Protocol.

Enables variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

Manages blood pressure readings (create, read, update, delete) via an MCP server, integrable with Open WebUI.

Enables scenario-based clinical communication practice through MCP tools for discovering scenarios, starting sessions, sending practitioner turns, and receiving evidence-linked evaluation feedback.

An MCP server that lets an LLM answer a pharmacist's question about drug shortages by normalizing drug names, finding pharmacologic alternatives, and checking their shortage status using public FDA and NLM data.

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

Exposes a bio-hybrid neuromorphic simulation pipeline (SNN LIF+STDP, consciousness proxy, bio-platform telemetry, ethics monitor) to AI assistants via MCP tools, resources, and prompts.

Integrates a bio-hybrid neuromorphic simulation pipeline with SNN, consciousness proxies, and bio-computing platform telemetry as MCP tools, resources, and prompts for AI assistants.

Enables Alexa+ users to coordinate household pet care by logging feeding, medication, activity, litter, and health observations for dogs and cats, with evidence-grounded triage, Q&A, and daily briefings backed by a verified veterinary library and citations.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

Provides secure access to VA's VistA electronic health record system, enabling AI applications to retrieve and summarize patient medical records for clinical staff.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.