"Origin" matching MCP servers:

Enables AI assistants to control Origin/OriginPro on Windows, including data import, worksheet editing, graphing, analysis, and figure export.

Enables automated data import, analysis, graphing, and project management for Origin/OriginPro through a hardened MCP interface with constrained file access and optional expert LabTalk mode.

Enables AI assistants to control Origin 2025b for scientific plotting via natural language, with support for data import, 52+ chart types, curve fitting, statistics, and export.

Enables AI clients to drive a running OriginLab Origin instance, allowing LabTalk scripting, worksheet read/write, and project management.

A local MCP server that enables AI assistants to control Origin/OriginPro on Windows via Python automation, with adaptive path detection to resolve import errors.

Enables formatting whole OriginLab Origin projects into a fixed thesis or journal house style from inside DeepSeek Harness. It applies per-layer grid layouts, unified fonts, render-measured axis-title placement, overlap resolution, panel labels, and 600-dpi export with corrected dpi metadata, while leaving original files untouched.

Enables MCP clients to read Origin Financial account, transaction, category, and budget data, currently via a synthetic demo mode.

Enables AI assistants to control OriginLab Origin Pro via COM automation for data analysis, graphing, and styling, with real-time GUI updates.

Enables controlling OriginLab Origin through MCP to read and write worksheets, build and style multi-panel graphs, and export figures, reporting what Origin actually did rather than what it was asked to do. Works from macOS or Linux against Origin running in a Windows VM.

Enables agent sessions to drive OriginPro via COM for plotting XY data, performing linear fits with R2, and exporting PNG images.

MCP security firewall (stdio): vet advertised tool definitions through static-scan → threat-feed → origin → pinning before they reach the model. Zero npm runtime deps. No secrets.

Lets AI assistants crawl sites or load exported crawl data, then query SEO issues, inspect individual pages, and trace broken internal links from real crawl results. It supports live same-origin crawls up to 200 pages and exported datasets for deeper analysis.

Local-first MCP server for Originality.ai workflows, including AI detection, plagiarism checks, readability, SEO scans, and scan-result retrieval for content teams.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables measuring DOM elements and capturing screenshots in a real local Chrome browser over the DevTools Protocol, with in-page login so httpOnly cookies apply and overlay-masking before capture. It removes common Chrome automation traps such as sandbox kills, WebSocket origin rejection, and Retina pixel scaling, with no npm or Python dependencies beyond the MCP SDK.

Open Claude integration for Ametller Origen's live catalog, online orders, real cart, and optional offline Gmail tickets.

Enables multiple AI agents to each run Google's full Chrome DevTools toolset in an isolated Chrome instance with saved logins, origin allowlists, reconnect recovery, and process cleanup. It also provides visibility into running browsers so stale sessions can be inspected or reaped.

Wraps the recon CLIs security researchers already use (subfinder, httpx, nmap, ffuf, nuclei) into a single MCP server so an LLM agent can plan and execute reconnaissance itself — passive subdomain/DNS/wayback discovery, active port scanning, WAF detection and origin-bypass checks, endpoint fuzzing, and nuclei scans. Structured JSON results carry scan tokens that let the agent chain one step's output into the next without re-typing targets.

Enables an AI agent to drive a real Chrome instance on a hidden Windows desktop, acting on accessibility element references instead of coordinates, with each session isolated on its own private desktop, profile, and ports. Credentials are typed into a masked popup and injected by an origin-bound, DPAPI-encrypted broker, so passwords never reach the model.

Enables an AI agent to read and operate the Chrome or Edge tabs you are already using — titles, URLs, text, HTML, screenshots, clicks, typing, scrolling, and tab management — via a browser extension and native messaging, without restarting the browser, switching profiles, or opening a debug port. It exposes these capabilities as 19 MCP tools, with access limited to explicitly shared tabs and hardened by per-tab, origin-bound grants plus domain allow/deny lists.