"Finding Financial Reports" matching MCP servers:

Enables MCP-compatible agents to search and retrieve Health Canada summary reports (SBD, RDS, SSR) using natural language, without storing data locally.

An MCP server that gives LLMs live access to clinical trials, FDA drug recalls, adverse-event reports, drug labels, and drug-name normalization via six validated tools.

A structure-aware MCP server for querying the SPOKE biomedical knowledge graph, enabling entity resolution, schema introspection, path finding, and safe Cypher queries for biomedical knowledge inference.

Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.

MCP server to batch download open-access PDFs from PubMed Central (PMC), supporting PMCID/PMID lookup, parallel downloads, and download reports.

Typed, validated FHIR tools for healthcare AI agents — build, read, validate, and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports built for fix-and-retry.

An MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants. It lets any MCP-capable client search studies, series and instances, inspect metadata, read Structured and Encapsulated PDF Reports, and render image frames — all through natural language.

MCP server offering verified bioinformatics tools for sequence utilities and statistics, backed by BioPython/scipy. Enables AI agents to perform accurate GC content, translation, ORF finding, motif scanning, and statistical tests through natural language.

Answers medication questions from official FDA labels with section citations, resolves drug names via RxNorm, and reports FDA recalls and shortages.

Enables AI assistants to search the doktor.mx directory for over 56,000 verified doctors and medical specialists across Mexico. It provides tools for verifying professional licenses, finding specialists by symptoms or conditions, and checking medical insurance compatibility.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Lets an AI agent list reports, start and poll exports, and look up insurance claims from a legacy system that has no API, with each server process serving only the tools and report types its role permits. Every tool call is written to an append-only, field-masked audit log, and the backend's login credentials stay in an encrypted vault the model never sees.

Enables bioinformatics analysis through natural language conversations with Claude Desktop, automatically generating and executing Python scripts to produce HTML reports and visualizations.

MCP server that locally de-identifies health documents, such as prescriptions, reports, images, and PDFs, before use with Codex or Claude Code. It runs OCR and identifier detection on-device and only returns de-identified text to the agent when the automated policy check results in PASS.

MCP server for controlling UCSF ChimeraX molecular visualization software, enabling command execution, screenshots, structure analysis reports, and session management.

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.

Enables searching herb-drug and drug-drug interactions by name, alias, or item ID, and retrieving Permitted Daily Exposure (PDE) reports for active pharmaceutical ingredients. A single stdio process exposes all tools, with credentials only required for the databases each tool uses.

Enables AI clients to connect to Galaxy instances, inspect histories and reports, discover tools and workflows, submit analyses, and monitor their results via interactive cards.

Enables searching FDA adverse-event reports for animal drugs, summarizing side effects by species, checking pet food and veterinary drug recalls, and finding nearby pet services from OpenStreetMap.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.