"Netflix Media Control Protocol (MCP) or Management Platform" matching MCP servers:

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

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.

Connects to wetlab protocol resources such as protocols.io, enabling users to access and manage experimental protocols via natural language.

A read-only MCP server for searching control science and engineering papers via OpenAlex, limited to core journals in the field.

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

A Python MCP server for querying grant applications and previewing or committing scoped reviewer reassignments.

Enables querying and retrieving materials data from the Materials Project via MCP tools, supporting search, lookup, comparison, and export.

MCP server for the Mamba Labs Trustpilot Reputation Enricher actor on Apify. Resolve a company domain to its Trustpilot rating, review count and claimed status.

Enables Claude to access and analyze your paid media campaign data, team structure, performance metrics, and reporting templates, so it can answer questions and assist with analysis directly in your workflow.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Sonar models and Search API. Supports quick searches, deep research, advanced reasoning, and direct web search with ranked results.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

Access to many public datasets right from your LLM application.

Enables AI agents to resolve Japanese food names to nutrition facts per 100g based on official Japanese food composition data.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

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.

Enables AI assistants to access competitive-intelligence signals, reports, and memory through a tenant-scoped MCP endpoint with security controls.

A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.

Provides read access to campaign performance data from Google Ads, Meta Ads, and TikTok Ads via live API calls, enabling AI assistants to analyze and audit advertising campaigns.

MCP server for Taiwan's agricultural wholesale market real-time price data, providing 6 tools to search products and query trade data at daily, weekly, monthly, yearly granularities, plus cross-market comparisons.

Provides AI assistants with access to Lumenore's analytics capabilities, enabling natural language queries for data insights, advanced analytics (trends, predictions, correlations, outliers), and real-time data processing with zero persistent storage.

Server for managing academic literature with structured note-taking and organization, designed for seamless interaction with Claude. Built with SQLite for simplicity and portability.

An MCP server that provides controlled read/write tools for managing local-first research memory in an Obsidian vault, enabling AI agents to maintain project context across sessions.

Enables AI-powered analysis of healthcare market segments, product comparisons, and sales data insights using natural language processing and retrieval-augmented generation.

Enables AI clients to securely upload, query, and read research project materials under OAuth 2.1 and per-material access policies.

Public Facebook & Instagram data for AI agents: pages, groups, posts, comments, search, Meta Ads Library, Marketplace, media downloads, Instagram profiles, posts, reels and locations. 12 read-only tools, 51 operations. Hosted at mcp.socialapis.io/mcp or npx @socialapis/mcp. Free tier with 200 requests/month, plans from $4.99/month.

Provides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.

Lets an AI assistant do everything you would do on Ancestry.com by hand: search records, read and edit trees (people, facts, sources, citations, notes, tags, media), review hints, attach records, look at DNA matches, and read or send messages.

Fetches, parses, and summarizes ETSI telecommunications and media standards documents, enabling Claude to autonomously look up and ingest standards mid-conversation for answering questions, generating conformant code, or writing XML.

MCP server that wraps the UMT media monitoring API, enabling search and retrieval of media mentions with filters such as date range, language, sentiment, and tags.