"Burp Suite" matching MCP servers:

Ocean and multimodal freight intelligence suite providing cross-validated rates, total landed cost, transit reliability, customs, risk, emissions, and unified ship decisions through 47 tools.

Enables querying, exploring, and downloading ISTAT statistical datasets via SDMX REST API, with unified metadata, territorial code resolution, and data extraction.

MCP server for Eurostat statistics, enabling seamless search, query, and analysis of over 8,900 EU datasets with support for SDMX, DuckDB SQL, NUTS regional filtering, and CSV export.

Three composable MCP servers for clinical AI — FHIR R4 read/search/validate, medical terminology (LOINC/SNOMED/RxNorm/ICD-10), and drug safety reasoning (interactions, dose check, allergy). Apache-2.0, production-ready.

Provides a suite of MCP tools for evidence-grounded investment research, including time-bounded search of reports and news, thesis verification against subsequent events, market response calculations, and generation of validated research briefs.

Python-first MCP server for CST Studio Suite (2024–2026) that lets AI assistants drive CST from Windows: open projects, build geometry, set materials and ports, run solvers, read S-parameters and farfield metrics, and generate design reports.

An MCP server that exposes the Horizon content aggregation and analysis pipeline as a suite of modular tools. It enables users to automate fetching, AI-based scoring, filtering, background enrichment, and summary generation for various data sources.

Enables comprehensive medical research by querying and analyzing data across ClinicalTrials.gov, PubMed, and FDA databases with AI-enhanced cross-database insights, risk assessments, and competitive intelligence.

Realtime financial context for AI agents: what changed, who is affected, and what to watch next. One suite covering news, events, guidance, filing changes, sentiment, stakeholders, and alerts. Information-efficient responses with evidence for every result. First-class point-in-time safety for backtests. Pairs well with web search and a market-data API. All data is our own.

Enables AI assistants to access options analysis data, market research tools, portfolio risk snapshots, and platform context via 32 tools.

Enables AI agents to drive Google NotebookLM notebooks as a deep-research workspace: ingesting local PDFs and YouTube videos, cross-checking sources for contradictions, identifying knowledge gaps, generating audio overviews, and exporting Markdown dossiers with BibTeX and APA bibliographies. It operates over the Model Context Protocol inside Google Antigravity IDE, with browser-session authentication handled automatically.

Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.

Enables interaction with Google NotebookLM through a unified CLI and MCP server, featuring automatic multi-browser authentication and support for notebook queries, source management, notes, and audio generation.

Exposes ArcGIS Pro geoprocessing capabilities to LLMs via the arcpy library, enabling automated spatial analysis and data management. It provides a comprehensive suite of tools for vector geoprocessing, terrain analysis, and raster operations designed for GIS workflows.

Enables B2B research by finding verified work emails, extracting contacts, detecting tech stacks, and profiling DNS and SaaS, all through a suite of MCP tools.

An MCP server for automating ANSYS HFSS simulations, providing persistent connections and a suite of tools for modeling, simulation, and post-processing.

Provides tools for generating, quality-controlling, and exporting relative permeability and capillary pressure curves for reservoir simulation, with integration for Claude Desktop and LangGraph agent.

Enables Claude to search, download, and summarize any of the 17,167 official BCRP statistical series, each figure computed in Python and returned with its source URL. It also supports a cross-country comparison tool backed by World Bank indicators for GDP, inflation, unemployment, and other metrics.

Enables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.

Provides access to over 5,000 macroeconomic indicators from the Banco Central de Reserva del Perú (BCRP) statistical database. It enables AI agents to search for indicators, fetch time-series data, and generate professional economic charts.