"MyLinedChart - Charting Tool or Library" matching MCP servers:

Enables locally-first literature research through an MCP host by collecting sources, parsing documents, retrieving evidence, validating citations, and exporting research records in multiple formats.

MCP server for searching and retrieving trading knowledge from a centralized SQLite library of book summaries, strategies, and document chunks.

MCP server giving AI models direct access to 30M+ resources at ETH Library Zurich – books, maps, images, archival material, and linked-data person records.

Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe

An MCP server that lets AI assistants add papers and books to your Zotero library by DOI, arXiv ID, or ISBN, and manage your collections, tags, and items.

Enables a connected frontier-model assistant to develop research grant proposals with traceable evidence, claim review, and versioned drafts. It preserves source passages, judgments, proposal versions, and editable exports in a local research workspace.

Enables AI agents to browse, search, and retrieve papers from a local research library with read-only access, supporting multiple formats and automatic indexing.

Provides access to global rocket launch data, including upcoming and historical launches, launch details, space agencies, astronauts, events, and expeditions, enabling natural language queries about space activities.

Provides instant, offline access to a curated intelligence database of 25 Solana/web3 earning platforms, with tools to search topics, retrieve detailed evidence notes, and view verdict, payout rail, and KYC gate statistics.

Enables searching CNKI's thesis database, fetching thesis details, downloading PDFs, and reading them page-by-page through HUST Library's unified digital resource access platform, with login, CAPTCHA, and rate-limit states surfaced honestly.

Enables AI assistants to access authenticated academic databases via browser sessions, eliminating re-login and password exposure.

Enables querying a curated reverse engineering knowledge base covering techniques, anti-analysis bypass, mobile internals, and tools via MCP clients like Claude or Cursor.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

Provides comprehensive access to CDISC clinical data standards (SDTM, ADaM, CDASH, CT) through 15 MCP tools, resources, and prompts.

MCP server for Kaggle API integration that allows creating, running, and managing Kaggle notebooks programmatically.

Provides a compact, task-oriented wrapper around the CDISC Library API for discovering, searching, and fetching Biomedical Concepts and SDTM Dataset Specializations.

A Cloudflare Workers-based wrapper that normalizes NYCU Library MCP server responses into Markdown and structured content, ensuring any MCP-compatible AI workspace receives complete item-level data for catalog searches and account queries.

Enables an AI assistant to search TikTok ads by text, country, category, or landing domain, open individual ads to inspect their copy, destination and run dates, and identify the advertiser operations behind them. All calls are pinned to TikTok so results stay within that corpus, with usage and quota checks included.

Enables AI assistants to search and retrieve structured peptide research profiles with cited, tier-labelled evidence, safety and regulatory status, and to compare two or three peptides side by side without ranking. Also provides research article and FAQ search, category and trend lookups, plus unit conversion, solution concentration, blend and cost-per-amount calculators, all read-only and anonymous.

Enables users to search and retrieve research datasets via natural language queries, with tools for proposing and committing tag changes. Includes robust authorization, idempotent mutations, and an audit trail.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables programmatic access to EndNote .enl libraries, allowing users to list, search, and extract full text from bibliographic references and their attached PDFs through MCP tools.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

A Node.js-based MCP server that extracts numbers from text and generates statistical chart data such as bar, pie, and line charts based on frequency. It enables AI agents to perform data extraction and visualization tasks through the Model Context Protocol.

Enables searching and comparing 45 gem cuts with ray-traced brilliance, fire and scintillation scores across seven gemstones, recommending cuts for a given stone, and fetching 3D models and faceting diagrams. It also serves the Cut Performance Index data for evaluating cut light performance.

Enables researchers to present 12 mock file, memory, schedule, and database tools over stdio and collect LLM pre-execution judgments (EXECUTE/CONFIRM/REFUSE) without executing real operations.

Provides accurate competitive Pokémon information for Pokémon Champions, including damage calculation, type effectiveness, Pokémon data, and regulation legality checks.

Enables searching and retrieving articles, citations, and structured content from Grokipedia for research and information retrieval. It provides specialized tools for section extraction, related page discovery, and filtered search results.

Enables AI assistants to run live Semrush SEO analysis—keyword research, domain analytics, backlink analysis, competitor intelligence, and traffic insights—through natural language MCP tools.

Enables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through MCP protocol.