Инструменты

The standard machine translation scorer: computes BLEU, chrF and TER with significance tests and downloads public test sets such as WMT, to compare engines or prompts. Needs Python 3.9+ and reference translations; automatic metrics are a rough screen, so final copy still needs human review.

Microsoft's official local MCP server for creating and editing Power BI semantic model tables, measures and relationships in natural language, running and validating DAX queries, and bulk renaming and translation. Connects to Power BI Desktop, Fabric or PBIP files; in public preview.

MathWorks' official toolkit: set up the MCP server via the MATLAB installer so agents can run code, run tests and do static checks; domain skill sets for signal processing, controls, statistics and machine learning install as Claude Code plugins. Needs MATLAB R2021a+.

Pre-submission review for CS conference papers (CVPR, ACL, NeurIPS and more): polish, translate or condense on request, or let AI reviewers raise issues and a jury rule on them. Only wording fixes are drafted, with your approval; missing experiments go back to you, never invented. Needs Node.js.

Connects agents to MongoDB and Atlas: query, aggregate, inspect collection schemas and indexes, and manage Atlas clusters, projects and database users. Maintained by MongoDB; needs a connection string or an Atlas service account; supports read-only mode.

Turns ComfyUI workflows into MCP tools with no code, covering generation and conversion across text, image, speech and video; works with local ComfyUI or RunningHub in the cloud. Start the server with uvx pixelle and configure an LLM first.

Alibaba Cloud's official CLI (aliyun): manage ECS, OSS and other services through OpenAPI, with structured output, JMESPath filtering, waiting on resource states, product plugins and a built-in MCP proxy. Configure credentials first; OAuth sign-in works locally.

Sentry's official CLI: upload source maps and debug symbols, manage releases, and view issues and logs. Needs a Sentry account or self-hosted instance; a newer official CLI is replacing it, so this repo mainly gets bug fixes.

ComfyUI's official CLI: install and launch ComfyUI in one step, manage custom nodes and model downloads, and run image and video workflows, with --json output on every command for agents. Can also submit jobs to paid Comfy Cloud.

Graph database MCP server from Neo4j Labs: reads the graph schema and runs read and write Cypher queries, with read-only mode, query timeouts and response token limits. Needs a Neo4j instance with the APOC plugin enabled.

Sentry's official remote MCP: lets coding agents query errors, issues, stack traces and performance traces, and call Seer for root-cause analysis. Sign in with OAuth, or connect to self-hosted Sentry over stdio.

Lets agents manage Google Cloud resources in natural language through the gcloud CLI, blocking interactive and other agent-unfriendly commands by default, with configurable allow and deny lists. A preview release from Google, not an officially supported product; install gcloud and sign in first.

AWS Labs' official plugin marketplace: deploy-on-aws (architecture recommendations, cost estimates and IaC deployment), aws-serverless, aws-amplify, databases-on-aws, sagemaker-ai and more. AWS suggests Agent Toolkit for AWS for new projects.

HashiCorp's official Terraform and Packer skills: write HCL in the official style, refactor modules, terraform test, provider development, Stacks and policy, plus AWS and Azure image builds.

HashiCorp's official plugin marketplace: the terraform plugin has 16 skills (configuration, modules, provider development, testing, import, Stacks and policy), and the packer plugin has 4 image-build and HCP Packer skills.

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.

Helps Indian resident individuals prepare income tax returns: the agent reads Form 16, AIS and more, asks about deductions, computes tax with a tested Python program, compares old and new regimes and builds a filing checklist; you pay and file yourself. AY 2026-27 only; Python 3.

A monthly CFO routine for small companies and agencies: pulls bank, receivables, payroll and expense data, categorizes and reconciles it, computes month-end cash, updates forecasts and writes a management snapshot, plus a weekly cash check. Needs your own config and account data; review the results.

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.

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.

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.

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.