Инструменты

Answers macro questions with market data: combines 13 free sources including Polymarket and Kalshi prediction markets, US Treasury yields, CFTC positioning, SEC insider trades and A-share fund flows into probability estimates, reasoning and scenarios. No API key; needs uv. Not investment advice.

Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.

Jina AI's official remote MCP: converts web pages and PDFs to Markdown, searches the web, arXiv, SSRN and images, and offers screenshots, reranking and semantic dedup. Reading tools work without a key (rate-limited); search and rerank need a Jina API key.

Lets agents browse subreddits, search posts, read comments and analyze user activity, useful for customer sentiment, competitor feedback and market research. Browsing needs no account; search and comments need free Reddit app credentials. Requires Node.js.

Drives desktop Excel on Windows: refresh Power Query, build pivot tables and charts, evaluate DAX and run VBA while keeping existing formulas and formatting, so finance and admin staff can automate existing reports. Needs Windows, Excel 2016+ and Node.js; no macOS.

From Vercel: discovers locally running Next.js 16+ dev servers and hands the runtime errors, routes and logs from their built-in MCP endpoint to the agent, and points the agent to docs matching your installed version.

Unofficial Yahoo Finance data tool with a yahoo-finance CLI, an MCP server and an agent skill: stock quotes, price history, financials, option chains and analyst ratings. Needs Node.js 22+, no API key. The API is unofficial and may change; for research only.

Describe what you need and get a typeset PDF: turn handwritten notes or scanned textbooks into LaTeX handouts and cheat sheets, make exams with answer keys, write papers, theses, posters, resumes and letters. 27 templates plus chart and mail-merge scripts. Needs TeX Live (install script included).

Microsoft's official skill: has the agent use Microsoft Learn docs to call Azure text and document translation, enforce glossaries, train Custom Translator models and troubleshoot quotas and errors. For localization teams building batch translation; needs an Azure account and Translator resource.

Unbabel's machine-translation quality metric: comet-score rates translations per sentence and overall, XCOMET marks error spans and severity, and CometKiwi works without a reference. Good for spot-checking MT. Needs Python 3.8+; models download from Hugging Face, some need a license; GPU helps.

The Docling project's official MCP: converts PDF, Word, PowerPoint and more into structured documents with layout and table detection and OCR for scans, and lets agents build new documents paragraph by paragraph and export Markdown. Local mode needs Python and uv, or use your own Docling Serve.

Shopify's official CLI: scaffold, develop locally and deploy Shopify apps, extensions, Functions and themes, and build and host Hydrogen custom storefronts. Requires Node.js.

Rewrites a paper for a target journal: give it 5-8 papers from that journal (plus optional field or lab examples), it builds an editable style guide for your manuscript, then rewrites section by section to the journal's conventions with a change log. PDF input needs a converter such as MinerU.

A research plugin for Claude Code: commands like /omp:survey, /omp:experiment and /omp:write chain literature review, topic selection, experiments, writing and self-review, with 5 specialized agents and 34 research skills that remember project progress across sessions. Experiments lean toward ML.

dbt Labs' official skills: write and edit dbt models, add unit tests and docs, set up the MetricFlow semantic layer, debug failed jobs, and handle dbt version upgrades and cross-platform migrations. Most skills need dbt installed and an existing project.

dbt Labs' official plugin marketplace with dbt and dbt-migration plugins: write models and unit tests, build semantic-layer metrics, govern with dbt Mesh, debug failed jobs, and handle version upgrades and cross-platform migrations. Most skills need an existing dbt project.

21 English writing rules (12 from The Elements of Style, Orwell, Pinker and other classics, 9 from observed LLM habits) for clearer, leaner papers, grant proposals, design docs and documentation. Expository English only; not for fiction or marketing copy.

Stock analysis MCP for individual investors: quotes via yfinance, technical indicators such as RSI and MACD, screening strategies, a portfolio tracker and a trade journal. Core tools need no API key; backtesting and deep-research extensions are optional.

Two skills for before and after peer review: review-revision checks a manuscript as a senior reviewer would and plans section-by-section revisions; rebuttal-response triages reviewer comments, plans extra evidence and drafts point-by-point replies. Takes PDF, LaTeX, Word or Markdown.

The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.

Economics writing skill built on 50+ guides (Cochrane, McCloskey and others): shapes abstracts, introductions and conclusions by paper type and 13 identification strategies such as DiD, IV and RDD, simulates three referee scores and flags citations to verify.

Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker.

Official SonarSource server: connects to SonarQube Server or Cloud so agents can query code issues, quality gates, security hotspots and dependency risks, and analyze file contents directly. Needs a SonarQube token; Docker is the recommended way to run it.

Compares two versions of a LaTeX manuscript and produces a .tex that marks additions and deletions in color and strikethrough; compile it for a tracked-changes PDF to show reviewers, or diff versions from Git history. Ships with TeX Live and MiKTeX; needs Perl.