"Headroom open-notebook resources" matching MCP servers:

Enables AI assistants to manage notebooks, sources, notes, search content, and interact with AI models through Open Notebook.

MCP server for the Korean National Assembly Open API, enabling querying of bills, members, votes, committees, and more via natural language.

A read-only MCP server for the open-banking.io PSD2 API that lets AI agents query personal bank balances and transactions via natural language, with zero-knowledge encryption ensuring all sensitive data is decrypted in-process and never exposed to third parties.

Enables AI agents to manage Splitwise expenses through natural language, including reading balances, splitting costs, and handling authentication and rate limits automatically.

An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.

We sell open source compliance, scientific, and government data.

Open-source MCP server and notebook that finds Databricks cost waste (idle clusters, oversized warehouses, Delta tables needing OPTIMIZE/VACUUM) from system tables and proposes reviewable fixes. Read-only.

Enables AI assistants to read and create geometry in an open Cadwork 3D document via a local bridge, with queued sequential execution, write approvals, undo support, and a live dashboard for monitoring activity.

Enables users to get weather forecasts, snow conditions, air quality, and location search via the Open-Meteo API, with guided prompts for ski trips and outdoor activities.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

MCP server that gives AI agents instant access to public camera feeds worldwide via simple HTTP GET, saving snapshots to disk.

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.

MCP server for structural editing of Jupyter notebook cells (list, read, insert, edit, patch, delete, move) without kernel execution.

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.

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

Enables answering business questions about Spanish places by resolving place names and returning population, household and income statistics down to municipality, district and census tract level from official INE data, cross-checked between sources with province, region and country benchmarks. Every figure is delivered with its publisher, dataset id, data year and retrieval date, alongside caveat checks for suppressed, stale, thin-sample or estimated values.

Enables AI assistants to search and read the official Open Play developer documentation and inspect TypeScript and Unity SDK symbols, signatures, and summaries.

Enables interaction with Berlin's open data catalog through tools for full-text search, metadata retrieval, and dataset analysis. It provides access to over 2,500 datasets across categories like transport, health, and education using the Model Context Protocol.

An MCP server for out-of-home (OOH) site-reachability tooling that provides geospatial catchment scoring and multi-site comparison for billboard/ad-site evaluation using open data.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

AI-ready data for investors and stewardship specialists who wants to have easy access to agm & governance related disclosures for Korean stocks

Access to the new Open English Translation of the Bible with both a Readers' Version and a Literal Version

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.

A local MCP server that delegates tasks to a subagent runtime via OpenAI-compatible interfaces, enabling file operations, command execution, and rollback of local file changes.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

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

Gives AI assistants read-only, key-free access to Sentinel-2 NDVI time series, ESA WorldCover land-cover shares, and Copernicus 30 m elevation and slope for a point or small area, returning the scene IDs, units, and caveats behind every number. Built-in sanity checks and a verify tool recompute key values through an independent path so the assistant can flag cloudy, low-confidence, or mismatched results instead of guessing.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Enables agents to open or connect to a Colab browser tab and use notebook tools, resources, prompts, and progress through a local stdio session.

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