"Scraping Public Documents" matching MCP servers:

A collection of three no-key MCP servers that provide public data including global weather forecasts, food product facts, and open procurement summaries via standard protocols.

This MCP is capable of analyzing medical documents and prescriptions and giving patient all the medical info it needs and answering their questions

Enables read-only access to Benepass employee-web API, allowing users to view HSA accounts, investments, transactions, documents, and benefits without write operations.

Enables read-only access to SimplePractice Client Portal data — appointments, billing, documents, and announcements — via the portal's JSON:API, using passwordless portal sign-in.

Enables users to interact with the CUF health portal to retrieve patient information, appointments, clinical documents, invoices, and prescriptions through natural language.

8-axis integrative wellness MCP server: TCM constitution analysis, evidence-graded health signals, wellness knowledge search (6,207 herbs). L1/L2 tools public-safe, L3 personalized opt-in.

MCP server for loading and querying public data from the Brazilian National Registry of Health Establishments (CNES). It enables natural language searches for health facilities by municipality, CNES code, or state, along with statistics and data loading.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

Reliable AI access to public health, government, and research data with explicit statistical definitions, currently covering the Finnish Cancer Registry and NORDCAN.

Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.

Enables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.

Enables AI agents to query Kenya health facilities, maternal health indicators, immunization coverage, and disease surveillance data via the DHIS2 public API.

Integrates with FitSlot API to manage support tickets, provide chatbot assistance with FAQs, and analyze bioimpedance PDF documents with health metrics and personalized recommendations.

A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.

Provides access to Medicaid public data including drug pricing (NADAC), state enrollment trends, federal upper limits, drug rebate information, and utilization statistics through a hybrid CSV caching and DKAN API approach.

A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.

Enables AI agents to query U.S. public-health datasets such as disease surveillance, mortality, behavioral risk factors, and flu activity through the Socrata API, using natural language or direct tool calls.

MCP server that turns any MCP-compatible LLM client into a wellness coach grounded in verified public data, offering nutrition, exercise, biometric, and preventive care tools with safety guardrails.

Enables querying Doctolib's public data to find practitioners, retrieve all available appointment slots in a geographic area, access practice details, and receive alerts when new slots open.

A Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data, enabling reading food diaries, nutrition goals, weight measurements, and more via MFP's web scraping.