"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.

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.

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

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

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.

Enables classical test theory analysis, differential item functioning, local item dependence detection, and standard setting through MCP tools.

An MCP (Model Context Protocol) server specialized in deciphering PDF internal structures.

Checks whether a citation has been retracted, corrected, or flagged with an expression of concern by querying Crossref — including retractions that Crossref backfills from the Retraction Watch database, which publishers often never record in their own metadata. Lets an AI agent verify a DOI, or every DOI in a reference list, before using it in research or writing.

Converts PDF, DOCX, PPTX, XLSX, CSV, and JSON into clean, compact, AI-ready Markdown, reducing tokens up to 65%.

This MCP server enables an AI to look up Brazilian food composition data — searching foods by Portuguese name, retrieving exact per-100 g or gram-scaled nutrient values, summing nutrients across a meal, and comparing up to 10 foods side by side — rather than estimating numbers. It preserves missing and trace values explicitly and cites TACO 4ª ed. in every response.

Lets agents and chat clients load battery cells, collect them into frames, render figures, export data, look up cellpy API calls, and set up batch projects without writing Python.

Enables AI clients to produce probabilistic forecasts with prediction intervals for numeric time series such as sales, demand, traffic, and sensor readings, using a panel of zero-shot foundation models or an accuracy-weighted ensemble. Supports up to 64 series per call, optional covariates, horizons up to 512 steps, and usage or credit checks, all without training or feature engineering.

An MCP server for managing pandoc/CSL-YAML bibliographies and verifying citations in documents.

An MCP server for the Open Food Facts API that allows users to search, read, and contribute to a global food database. It enables looking up nutrition data by barcode or name and managing product information through natural language.

Enables AI assistants to look up SAT percentiles, target percentile scores, and class of 2026 state-level averages, participation rates, benchmarks, and rankings from bundled College Board data without an API key or network access.

Enables AI assistants to read live temperature and Pt100 resistance measurements, sampled statistics, and device information from a Senseca PRO 111/PRO 115 USB thermometer, with optional write tools for setting the instrument clock and location labels.

Enables looking up statutory employer contributions by country, published Employer of Record provider fees, and combined all-in hiring costs for a given salary and headcount. Ships an offline snapshot of 76 countries and 14 providers, returning sourced figures with methodology and freshness metadata.

Enables users to verify stated company figures against the SEC filings they came from, retrieve point-in-time filing data and restatement changes, and validate up to 20 claims with offline-verifiable receipts.

Enables an AI agent to run Wolfram Language in a persistent Mathematica kernel, interrupt running computations while preserving state, and replay notebooks in a headless environment.

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.

Enables any MCP client to ask an equity research analyst questions and continue multi-turn research conversations, with tools for polling long-running answers, cancelling them, and listing past conversations. It runs locally over stdio and syncs with the analyst's app so threads started in either place can be picked up in the other.

Enables an AI agent to set up, run and verify engineering simulations through typed tools — creating or importing cases, setting boundary conditions, running solvers, checking convergence, verifying results against references, and rendering output, with edits appearing live in the GUI. It exposes no shell or code-execution tool.

An MCP server that provides Claude Desktop access to SmartScout's Amazon marketplace intelligence data stored in Domo.

Enables AI applications to look up study findings, clinical trials, cited sources, and evidence summaries for more than 160 peptides, compare up to five peptides, and search live literature.

Build surveys, read responses and make reports in SurveyNinja from your AI assistant. Describe a survey in plain words, check it before launch and publish it, then read the responses, get a summary or an AI report and export the results to CSV, Excel, SPSS or PDF. Hosted server, sign in with OAuth or an API key; works on every plan, Free included.

A local stdio MCP server that enables researchers to practice explaining their work outside a conference setting through a guided, one-question-at-a-time interview about their research, its audience, its consequences, and a concrete next step. It stores the saved answers in a local SQLite draft and returns an approximate rubric-based grade, without calling any model or requiring an API key.

Access Global Fishing Watch data from any MCP-compatible AI assistant or terminal: search vessels, retrieve fishing activity and port events, look up marine regions, and compute aggregate statistics.

An MCP server for counting electrical and communication symbols in engineering PDF drawings, supporting symbol detection, candidate review, and export of markup and quantities.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.