"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.

Enables LLM agents to maintain a two-tier memory system with local hot storage and remote cold storage, automatically routing and overflowing facts based on importance to prevent memory bloat.

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 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 server for the Chrome UX Report, providing real-user Core Web Vitals (LCP, INP, CLS) and historical trends for any origin or URL via natural language queries.

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 users to query EU Carbon Border Adjustment Mechanism data offline: whether a Combined Nomenclature code is in scope, which default emission values apply for a given country of origin, and what the code describes. Every answer cites the legally binding act, the dated data version, and flags that the data itself is not legally binding.

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.

Enables AI assistants to interact with Origin Quantum computing services through QPanda3 Runtime. Supports quantum computing tasks like circuit sampling, expectation estimation, device management, and batch operations on quantum processing units.

Provides access to UNHCR refugee statistics through a standardized interface, allowing AI agents to query data by country of origin, country of asylum, and year.

Enables AI assistants to query global BGP routing intelligence, including network investigation, origin history, reachability, and health checks, with 15 tools plus resources and prompts for incident triage and reporting.

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 natural language interaction with Connhex IoT platform APIs for managing devices, telemetry, rules, and resources via MCP tools.