"Setting up an MCP server in Kubernetes" matching MCP servers:

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Enables users to search and monitor European regulatory publications including GDPR, ISO27001, and AI Act. Supports creating monitoring topics, generating compliance briefs, and setting up notifications for regulatory updates.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

An MCP server for Screener.in to search Indian companies, fetch financial ratios, statements, peer comparisons, and run custom screens.

Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

An MCP server for the Zotero Web API v3 that lets you search, read, and write items, collections, tags, and notes in a Zotero library, supporting literature-review workflows.

An MCP server for the NASA Astrophysics Data System (ADS) that enables searching, citation graph traversal, and bibliography management for astrophysics literature. It provides tools for computing citation metrics, resolving astronomical object names, and managing paper libraries through natural language.

Enables MCP clients to search for published academic articles and retrieve detailed metadata, abstracts, citation counts, and related information from the Elsevier Scopus API. Supports citation verification and writing-style analysis grounded in peer-reviewed sources.

MCP server for FirstHandAPI that enables AI agents to create and manage human-in-the-loop data collection jobs (photos, audio, video, screen recordings) with automated AI quality scoring.

Portfolio risk analytics MCP server — VaR, Monte Carlo simulation, stress testing, portfolio optimization, options Greeks, and correlation analysis. Real market data via Yahoo Finance. Free tier available, Pro at $29/mo.

A Claude-compatible MCP server that exposes health-domain tools over 100% synthetic data, built with security and compliance in mind.

Enables an AI assistant to preview, query, aggregate, and convert CSV/TSV data safely with no API key.

An MCP server that gives AI assistants direct access to New Zealand stock market data via the NZXplorer API, enabling natural language queries for 130 NZX-listed companies, directors, stock prices, governance scores, insider trades, announcements, and more.

An MCP server for NONMEM pharmacometric modeling that provides structured access to model parsing, execution, and results analysis. It enables users to perform diagnostics, manage PsN workflows, and translate models to mrgsolve for PK simulations through natural language.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

An MCP server that wraps Cantera to enable LLMs to perform accurate thermodynamic, transport, equilibrium, and chemical kinetics calculations.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.