"Memory" matching MCP servers:

Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.

Every other colour API tells you what goes together. Colour Memory tells you what it means, where the evidence ends, and what it must not claim. 47,515 hand-researched records, graded A–E, every result cited. 91 specialist tools built for agents that need precision, not guesses. Direct MCP: https://api.colourmemory.com/mcp — no signup, no key for the free tools (10 calls).

An MCP server that provides controlled read/write tools for managing local-first research memory in an Obsidian vault, enabling AI agents to maintain project context across sessions.

Enables users to list and inspect household memory-conflict tasks, score answers, run evaluations, and retrieve provenance data through MCP tools.

Local-first MCP server for indexing and searching research materials (papers, notes, logs, READMEs) using SQLite FTS, with tools for memory management and evidence retrieval.

AI-powered memory dump analysis using Volatility 3 for digital forensics investigations. Enables process analysis, malware detection, network forensics, timeline generation, and anomaly detection with support for Claude, Llama, and other LLMs.

Multi-tier memory forensics MCP server combining a fast Rust engine with Volatility3 coverage for analyzing memory dumps.

MCP server for Yandex Wordstat v2 API enabling keyword research and search trend analysis with in-memory caching, integrated via mcpo proxy with Open WebUI.

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 Claude to search a local hybrid retrieval index of research papers and ingest new PDFs, providing research-paper memory queryable directly through natural language.

Enables live architectural reference research through OfficeNext by searching projects, reading authorship and source excerpts, and viewing selected project images in memory without creating a local content database or image archive.

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

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 LLM agents to programmatically inspect hardware resources, run in-memory inference benchmarks, list supported fMRI studies, and retrieve cortical and subcortical atlas region indices via JSON-RPC 2.0.

Eleven local stdio MCP servers exposing a reproducible EPA SWMM stormwater-modelling workflow: model building, simulation with run manifests and continuity checks, calibration, GIS/QGIS, design storms and climate scenarios, uncertainty analysis, plotting, and modelling memory.

Dynamic MCP server — 30+ tools across fact verification, agent memory, Indian NLP, contract risk, security threat modelling, sales call intelligence and more. x402/USDC micropayments on Base.

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

An MCP server providing a harness-neutral trading research capability with a durable run lifecycle, supporting stage commit, receipts, pause/resume, cancellation, decision memory, report export, and credential-free fixture-based research workflows for TradingAgents integrations.

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

A memory-efficient MCP server for analyzing large JSON files with streaming, querying, schema detection, and chunk processing.

Enables AI assistants to inspect and extract data from local CSV, TSV, JSONL and log files far larger than available RAM, using bounded memory, crash-resilient resumable runs, and streamed progress. All file access is confined to user-approved directories, keeping the data private to the machine.

Local MCP server that bridges Beale research workspaces to Claude Code, providing typed memory, workspace search, revisioned runbooks, and research profile context via a stdio plugin.

Enables a local academic research workflow via any MCP client: literature search across Scopus and OpenAlex, citation chains, per-project research memory, paper download, and PDF-to-Markdown conversion through MinerU.

MCP server exposing 1,000+ pay-per-call API endpoints across agent infrastructure (memory, coordination, secrets, verification), data, compute, finance, weather, geography, and reference categories — payments via x402 protocol in USDC on Base.

Enables agents and LLM hosts to connect over MCP stdio to versioned local memory, evidence recording, bounded WHAT IF scenario comparisons, and measured prediction scoring without granting real-world action execution.

Enables Windows users to control WaveMetrics Igor Pro through COM, exposing MCP tools for executing commands, inspecting waves/variables/procedures, managing dialogs and compilation errors, querying local documentation, and using persistent local session memory.

An MCP server that provides governed metric definitions and provenance-labeled memory for materials test labs, enforcing quality system discipline on agent interactions.

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

Gives existing agents controlled access to a local Neo4j research memory, letting them import papers and notes, record models, experiments, evidence and decisions, search full text plus graph neighbors, and resume bounded research sessions with checkpoints and provenance. Twelve stdio tools and seven companion skills turn reading, extraction and handoffs into auditable, revision-checked records.

This MCP server imports HR CSV data into an in-memory SQLite database to enable structured querying and metadata retrieval. It provides tools for executing read-only SQL queries and searching employee records through a standardized JSON-RPC interface.