Tools

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.

Open-source toolkit widely used in localization: converts between PO, XLIFF, TMX, CSV, subtitle and other translation formats, counts words, runs 40+ translation checks with pofilter and extracts frequent terms with poterminology. Needs Python 3.11+.

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.

Companion skill to the User Interface Wiki: 152 rules in 12 categories, from motion, easing and exit animations to UI sounds, interaction laws, prefetching and typography, for writing or reviewing web UI code, with issues listed by file:line. Needs an existing web project and Node.js to install.

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.

Runs LibreOffice as a persistent server so unoconvert can batch-convert Word, Excel, PowerPoint, ODF and PDF, handling about 2-4x as many documents in the same time as cold-starting LibreOffice each time. Install LibreOffice first and use its bundled Python; officially tested on Linux only.

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.

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.

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.

Intlayer's official MCP server: in projects using Intlayer, lets agents build dictionaries, fill in missing translations with AI, sync multilingual content with the Intlayer CMS and look up docs. Needs Node.js; AI translation needs your own LLM API key, CMS sync needs credentials.

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.

From Free Law Project: finds bad redactions in PDFs, where a black box covers text that can still be selected and copied, and outputs the leaked text and positions per page as JSON. Useful for lawyers checking filings before release. Needs Python 3.10+; may miss cases, so review important files.

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.

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.

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.

Enter a URL and get a single-page SEO audit report in HTML: checks title and meta description, H1, robots, sitemap, structured data and more, and lists priority fixes. Needs local Python; the full audit also needs a Google PageSpeed API key.

Interviews you on scope, pain points and brand tone, infers the visual language from existing styles, and builds five React UI variants on a temporary route with a feedback overlay. Iterates on feedback, then writes an implementation plan and deletes the temp files.

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.

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.

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.

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.