"Steam Deck" matching MCP servers:

vc analyst for pitch deck to memo gen

Provides AI assistants with 69 tools, 19 prompts, and 21 resources for deep access to Magic: The Gathering, including card data, combos, draft analytics, Commander metagame, competitive constructed, sideboard strategy, deck building, and rules engine, working with any MCP client.

Enables AI agents to audit Steam store pages for algorithmic health, forecast sales cones with P10/P50/P90 scenarios, and retrieve genre benchmarks for indie game market analysis.

Mines public App Store and Steam reviews to surface the complaints, rating drops per version, and common pain points across one app or a set of competitors, with no API keys required. Enables natural-language comparison of up to eight apps or games by country and category so users can spot product opportunities and gaps.

Provides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.

Enables querying live cross-platform gaming market data — Steam players, Twitch/YouTube viewership, prices, discounts, hype, and the aggro metric — through 8 read-only tools for summaries, rankings, genre rollups, game details, and search.

Enables AI agents to perform grounded equity research by analyzing tickers from SEC filings and market data, producing citation-guarded memos with pre-computed fundamentals.

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.

Exposes roughly forty tools over streamable HTTP so AI assistants can search an archive of sourced evidence, time series, forecasts, slides and datasets, reuse existing material with its citations, and write new sourced findings back. It also covers slide and deck management, feedback, photo and dataset access.

Enables agents to inspect molecular-dynamics trajectories — frames, atom counts, elements, depth profiles, and rendered images or videos — and to run LAMMPS/ReaxFF simulations as detached background jobs that survive the server exiting, with status, logs, results, and cancellation tools. Also supports submitting decks to a hosted GPU tier or your own SSH hosts, with credit balance checks and deck preflight validation.

Enables Claude, ChatGPT and other OAuth-capable MCP clients to research Magic: The Gathering cards and Commander data, goldfish-simulate and compare decks, and read or edit a user's own Archidekt decks. Every user signs in with their own account, and deck changes only apply after that user approves the exact proposed diff, with all actions tied to the signed-in user and logged.

Predicts video game scores (0-100 scale, similar to Metacritic ratings) using machine learning based on game characteristics like price, release month, tags, genres, and platforms, trained on Steam game data.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

Enables coding agents to generate investor-grade business strategy artifacts — SWOT, Business Model Canvas, TAM-SAM-SOM, financial forecasts, pricing and competitive analyses — plus shareable investor decks from a single business idea, with built-in strategy chat and credit balance tools. All 8 tools are exposed over stdio MCP so agents can run research, generation, and deck creation themselves without a browser or human in the loop.

Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.

Enables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.

Enables MCP-compatible AI assistants to access Kooperativa's B2B data lake, allowing users to enrich and search professional profiles and companies, track hiring signals and job changes, and manage webhook monitors through natural conversation.

MCP server for Hacker News that enables AI agents to search stories, read comments, and track tech trends via the public Hacker News API and Algolia HN Search.

Provides multi-agent equity research for US markets with provenance-backed financial data from SEC EDGAR, technicals, macro, and Alpaca paper trading, enforcing risk limits and journaling theses.

Enables Claude to analyze local CSV or Parquet files, handling larger datasets without uploading full files.

Analyzes the instrument currently open on your TradingView chart using 311 published quantitative models and free market data, returning a confidence-scored verdict with position sizing. Supports universe scanning and verified Pine Script export.

Answers why a specific number in a Chinese listed company moved — margins, cash flow, inventory, management commentary, policy impact — by reading filed reports and IR transcripts and returning figures with the document and announcement number attached. It deliberately refuses price, valuation, and recommendation queries, returning a "gone_by_design" error instead.

Enables AI assistants to run PubMed searches in plain English, download full-text articles from PubMed Central, and map the similar, citing and cited evidence around key papers. It also builds an Obsidian knowledge graph of a study's literature, with retractions flagged and citations traceable to papers the assistant read.

This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.

Enables AI model apps to record sourced evidence, run scheduled research playbooks, and submit buy or sell proposals for Indian equity swing trades, which the desk recalculates from the user's own risk and cash limits and checks against fixed rules, a 107-item checklist, and a confirmed Kite price. Approval requires the user's PIN and returns an exact order ticket to place manually, with fills recorded afterwards and every change logged in a tamper-evident ledger.

Enables market-data analysis and quantitative research over a local Parquet lake with tools for bars, indicators, scans, backtests, and safe SQL queries.

Enables AI assistants to manage structured research ideas and retrieve recent arXiv papers by idea ID, automatically generating Markdown reports.

A read-only MCP server skeleton for Korean stocks data, with tool stubs for stock quotes, orderbooks, and DART filings; all data tools currently return a NOT_IMPLEMENTED error.