"MCP server for notes" matching MCP servers:

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

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 deep Bible study through tools for original language lexicons, morphological analysis, cross-references, and contextual notes.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

This TypeScript-based server implements a simple notes system using MCP concepts, enabling users to create, list, and summarize text notes through natural language prompts.

Enables AI agents to search and monitor news coverage, fetch article metadata, explore curated source packs, and save links to hamir with notes.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Serves a lab's manuscript library over the Model Context Protocol, letting clients list works, read text, search paragraphs, browse figures and notes, and record dead ends. Access is filtered by per-person sharing tiers, so each contributor's chosen slice of text, figure previews, assets and notes is what gets exposed.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

An MCP server that gives AI agents read access to a Zotero library, enabling search, item metadata, collections, tags, notes, and full-text search of attached PDFs.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

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.

Enables searching and retrieving organization records from the Research Organization Registry, with fuzzy affiliation matching.

Gives Claude Desktop full control over Google NotebookLM via 56 MCP tools — manage notebooks, sources, chat, artifacts, notes, sharing, research, and export.

Enables managing Zotero reference libraries with full CRUD operations, collections, notes, annotations, and attachments via the Zotero API.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Enables managing Zotero libraries via the official Web API v3, including searching, creating, editing, and deleting items, collections, tags, notes, attachments, and performing batch operations, syncs, and file uploads/downloads.

Enables AI clients to read PDFs and selections from Zotero, edit Better Notes in real time, and synchronize Markdown notes.