Tools

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.

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.

Lets agents manage Google Calendar across multiple accounts and calendars: search, create, update and delete events, find free time, detect conflicts, and import events from images, PDFs or links. Needs your own Google Cloud OAuth credentials.

Plain-text spaced repetition: Q&A and cloze cards live in Markdown files, agents can draft decks from notes or textbooks and validate them with hashcards check, and hashcards drill runs FSRS reviews in your browser. Install with cargo or grab a macOS, Linux or Windows release.

Lets agents query Google Ads accounts, campaigns and performance data with GAQL; currently read-only tools only. Maintained by Google; needs Google Cloud credentials and Google Ads API access.

Atlassian's official plugin: connects the cloud Atlassian MCP to search and create Jira issues, read and write Confluence pages and manage sprints, with skills that turn meeting notes into tasks and generate status reports. Needs an Atlassian Cloud account with OAuth or an API token.

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.

Atlassian's official hosted remote MCP: access Jira, Confluence, JSM, Bitbucket, Loom and more with OAuth or an API token. Works with Atlassian Cloud sites only.

Connects the QGIS desktop GIS to Claude: create and save projects, load vector and raster layers, run Processing toolbox algorithms, export maps and execute PyQGIS code through chat. Needs QGIS 3 and uv; download the repo, copy the plugin into QGIS's plugin folder and start the server.

Works with Outlook mail and calendar, OneDrive, Excel, OneNote, To Do and more through Microsoft Graph, plus Teams and SharePoint in organization mode. Community-maintained, with a 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.

Cleans up BibTeX bibliographies: normalizes field formatting and indentation, sorts entries, merges or removes duplicates and strips chosen fields, rewriting the .bib in place or printing to stdout; also works as a pre-commit hook. Needs Node.js.

A Pandoc filter that numbers figures, tables, equations and sections and builds cross-references, so numbering stays right when you write papers or reports in Markdown and convert to Word, PDF or HTML. Needs a matching Pandoc version; Homebrew on macOS installs a compatible Pandoc too.

Converts PDF, Word, PowerPoint, Excel, EPUB, web pages and images to clean Markdown locally, keeping page anchors, tables and two-column reading order, with full-text search across folders. Formerly pdf-reader-mcp; no uploads, no API key. Needs Node.js 18+; OCR for scans needs tesseract.

Checks spelling, grammar and formatting in LaTeX and Markdown sources (e.g. figures never referenced), mapping each issue back to the source line, with optional HTML reports. Grammar checks use LanguageTool and support English, German, French and more; Homebrew on macOS bundles Java.

Microsoft's official Microsoft 365 MCP: query your email, meetings, OneDrive and SharePoint files, Teams messages and colleagues in plain language, e.g. tomorrow's meetings or someone's budget emails. Needs a Microsoft 365 Copilot license, tenant admin consent and Node.js 18+; public preview.

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.

Lets agents read and write Google Sheets: list and search spreadsheets, read and batch-update cells, insert rows and columns, create and share sheets and build charts, with the option to enable only some tools to save context. Needs a Google Cloud service account or OAuth credentials.

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.

Turns Manim animations into step-through slide decks: mark slide breaks in scene code, render, then present with manim-slides or export to HTML, PDF or PPTX, for math and science classes and talks. Scenes are Python (agents can write them); needs Manim, plus LaTeX for formulas.

165 teaching skills grounded in learning-science research, covering course design, lesson planning, assessment, classroom questioning and student self-study coaching, for teachers and instructional designers. Install all at once as a Claude Code or Codex plugin, or copy them one by one.

100+ tools that let agents drive COMSOL Multiphysics: build models, set geometry and physics (heat transfer, fluids, electrostatics, solid mechanics), mesh, solve and export results; the accompanying paper is in Neurocomputing. Needs licensed COMSOL 5.x/6.x, Python and Java; install from the repo.

Plotting skills for academic papers: bar, line, scatter, radar and other styles distilled from 9 real paper figures. Plot your own data in a chosen style as 300 dpi figures, or reproduce a matplotlib script from a paper screenshot. Needs local Python and matplotlib.

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.