"Persistent" matching MCP servers:

Transforms AI assistants into research-grade cognitive workspaces with systematic reasoning, evidence-based analysis, persistent memory management, and intelligent knowledge discovery.

Enables persistent, append-only storage of measurement data and experimental records using a SQL schema, with read-only and read-write modes for professional lab notebook use.

Provides persistent, versioned JSON transformation solutions with lineage and evidence retrieval, enabling users to resolve structured problems via query, contribute new solutions, and verify reuse.

An MCP server for automating ANSYS HFSS simulations, providing persistent connections and a suite of tools for modeling, simulation, and post-processing.

MCP server for automating ANSYS HFSS simulations, enabling persistent connections, modeling, simulation setup, and S-parameter extraction through AI assistants.

Enables federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.

Five tiny, single-purpose MCP servers for AI agents — arXiv search, YouTube transcripts, web-to-Markdown, market quotes & FX, and a persistent memory vault. No API keys, no bloat.

Enables searching Web of Science for CUC SCI papers, downloading PDFs, and syncing results to Tencent Docs through persistent browser automation. Supports advanced queries, deduplication, CAS journal classification mapping, and incremental sync while preserving manual notes.

Feynman's twelve-problems method as an MCP server — a persistent set of long-running problems plus an evoke loop that tests each new trick against all of them. Local, TypeScript, no LLM inside, no API key.

An MCP server that provides an LLM with access to R's statistical toolkit including hypothesis tests, regression, psychometrics, survival analysis, time series, and plots through a persistent R session.

A persistent, self-revising hypothesis DAG for agentic R&D, exposed as an MCP server. It enables agents to structure working knowledge as a directed acyclic graph of hypotheses, with automatic write-back belief revision and cascading pruning based on evidence.

Enables AI assistants to control ArcGIS Pro through natural language, executing geoprocessing tools, editing data, and automating GIS workflows via a persistent ArcPy session.

Enables LLM clients to run GAUSS code against a real GAUSS installation, with persistent workspace state and full-precision data exchange.

Enables LLM agents to search arXiv, download papers, parse PDFs into structured sections, and extract key findings using client-side LLMs. Features persistent caching and layout-aware PDF extraction.

Dense Knowledge is a small local server for Model Module Protocol (MMP) files. It gives language models a persistent research memory without requiring a database, embeddings, or a hosted service.

Enables an AI agent to run Wolfram Language in a persistent Mathematica kernel, interrupt running computations while preserving state, and replay notebooks in a headless environment.

Chat with Google NotebookLM via MCP or HTTP REST API for zero-hallucination answers from your documentation. Features persistent sessions, multi-notebook management, and n8n workflow integration.

A second brain for researchers — gives Claude persistent memory of your papers, field, and working history, with answers cited from your own indexed library

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

A universal mathematics MCP server that gives LLM clients full access to SageMath for symbolic calculus, number theory, linear algebra, and more, with persistent state across tool calls.