"Headroom open-notebook resources" matching MCP servers:

Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.

Enables natural language queries of U.S. Census Bureau data, translating plain English questions into proper API calls and returning demographic, economic, and housing statistics with proper statistical interpretation and context.

A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables users to find free legal textbook copies by title, ISBN, or course topic across OpenStax, DOAB, and Open Library, look up ISBN edition details, browse free textbooks by subject, and identify older editions that may cost less.

Production-ready MCP server for Greenhouse ATS that provides comprehensive recruitment tools—screening, pipeline analytics, search, and safe write operations—across read-only, recruiter, and full profiles.

Self-hosted web search and page extraction for AI agents. Stdio MCP server, HTTP API and Python/npm CLI.

Web search, page fetching, and research from the terminal or any MCP client — no API key required.

A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.

Connects AI assistants to the Open Library API for searching books and authors, retrieving metadata, and comparing works.

Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

Provides access to Open-E JovianDSS REST API documentation for intelligent search, endpoint analysis, and version comparison. It enables developers to integrate and interact with JovianDSS storage services through natural language via the Model Context Protocol.

Enables AI writing clients to launch NotebookLM Deep Research, persist every discovered source, verify each claim against original text, compare viewpoints, and export a citation-grounded research brief. Code-enforced evidence rules tie every judgment to source, original text, applicable conditions, and limitations, without silently degrading or fabricating metadata.

MCP server for reading public Featurebase feedback boards, enabling agents to query user feedback, posts, comments, and statistics.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

An open-source MCP implementation providing document management functionality. This project aims to replicate Cursor's @Docs functionality.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Enables agents to query a self-hosted, locally indexed web corpus through MCP tools for keyword, neural, or hybrid search, to fetch clean text from already-indexed URLs, and to discover pages similar to an indexed URL.

A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.

Enables AI assistants to access food product information, providing nutritional analysis, product comparisons, and recipe suggestions using the Open Food Facts database.

An MCP server providing AI-powered access to Open Data from the City of Zurich, enabling queries to 900+ datasets, real-time environmental and mobility data, geodata, parliamentary proceedings, and more.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

MCP server that enables searching books by author via Open Library API and searching keywords inside local text files.

Enables AI assistants to access food product information from Open Food Facts, including nutritional analysis, product comparisons, recipe suggestions, and allergen checks.

An MCP server that provides access to current weather data and 5-day forecasts via the Open Weather13 API. It enables users to retrieve weather information using city names or geographic coordinates across various languages.

Enables AI assistants to locate companies' public job boards across Greenhouse, Lever, Ashby and Workable, browse and filter live openings by keyword, location, department and remote status, and read full job descriptions with pay ranges and apply links. Requires no accounts, API keys or authentication, and is read-only.

Enables querying NotebookLM with Gemini 2.5 from Cursor/Claude Code, returning answers grounded in user-provided sources without the model's internal thinking.

Enables MCP clients to run eight data tools over stdio for product search, ad transparency, company intent, job/ATS lookup, keyword volume, domain SEO, and YouTube transcripts, returning JSON envelopes with item limits, truncation metadata, and structured errors.

Enables Claude to query a locally imported collection of PDF, TXT, and MD files via SQLite FTS5 full-text search (including Chinese), and to browse notebooks, source files, and individual passages. Every search result carries traceable citations such as filename, page number, line number, or timestamp.