890 reviewed MCP servers in this category · page 12 of 15 · all categories
Knowledge and memory MCP servers give assistants a persistent brain: knowledge graphs that survive between sessions, structured reasoning scratchpads, and connectors into your personal notes. They fix the most annoying thing about LLMs — walking into every conversation with total amnesia.
Model Context Protocol server for Pinecone - enables AI assistants to interact with Pinecone indexes and documentation
A Model Context Protocol (MCP) server for working with TradingView PineScript
The first project management system built from scratch for AI coding agents — not a wrapper around Jira or Linear.
A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and
Remnic memory plugin for Claude Code — hooks, skills, MCP integration
A Model Context Protocol (MCP) server that provides onchain tools for Claude AI, allowing it to interact with the Polygon PoS blockchain
ERC-20 token launchpad on Ethereum — deploy, presale, swap, and farm via AI agents
PortOne Global MCP Server: Model Context Protocol server for PortOne documentation and API schemas.
A Model Context Protocol (MCP) server that exposes PowerShell cmdlets as tools for AI assistants like Claude or Github Copilot. Built with security
MCP server to store memories in postgres
Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.
MCP server for PostgreSQL database operations - query, explore schemas, and analyze tables
This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles. Built with the official
Zero-Trust PII & secrets sanitizer. Locally scrubs data in-memory before sending context to LLMs.
A Model Context Protocol server
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.
Local-first memory + judgment layer for AI coding agents — warns before repeating failed fixes.
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
A framework for defining, managing, and applying prompt decorators to enhance interactions with LLMs
DPML-powered AI prompt framework - Revolutionary AI-First CLI system based on Deepractice Prompt Markup Language. Build sophisticated AI agents with
A Model Context Protocol (MCP) server that provides access to ProPublica's Nonprofit Explorer API for nonprofit organization search and analysis
A pluggable linter and fixer to enforce Protocol Buffer style and conventions.
An enhanced Python-based Model Context Protocol (MCP) server for interacting with Proxmox virtualization platforms. This project extends
Manage Proxmox VE through AI assistants
Persistent memory for MCP-compatible agents: memory bank, fact cortex, dreams, graph.
PubNub Model Context Protocol MCP Server for Cursor and Claude
MCP server for pūrmemo - AI conversation memory that works everywhere. Save and recall conversations across Claude Desktop, Cursor, and other
Multi-LLM orchestration framework with agentic execution, memory/RAG, and training data generation
A Model Context Protocol (MCP) implementation that plays sound effects for Cursor AI and other MCP-compatible environments. This Python
Local, read-only MCP retrieval over official Python standard library docs.
Quantum-inspired keyring for AI coding agents with superposition, entanglement, and tunneling.
Implement semantic memory layer on top of the Qdrant vector search engine
MCP server for semantic search with Qdrant vector database
Manage qualitative research context across sessions using knowledge graph based MCP Server
An advanced Model Context Protocol (MCP) server that provides intelligent search and retrieval capabilities for QuantConnect PDF documentation. This
Manage quantitative research context across sessions via knowledge graph based MCP Server
A Model Context Protocol (MCP) server for validating quantum computing library code. Currently supports PennyLane, with plans to expand support for
# qweather-mcp [](https://mseep.ai/app/ae24a36c-f029-49b3-9c42-fc111021add0) [![MseeP.ai Security
MCP server for rag knowledge. Features semantic search, knowledge graph query, index documen...
Rag Knowledge Graph automation via MCP. Includes index document, rag query, add graph edge. ...
Open Source, Self-Hosted, AI Search and LLM.txt for your website
A Model Context Protocol (MCP) server that provides structured workflows and tools for AI agents working with software development projects, with
An MCP server for Rails projects, allowing LLMs to interact with your application.
A Model Context Protocol (MCP) server that provides conversational interface for the exploration and analysis of RDF (Turtle) based Knowledge Graph
Model Context Protocol server for comprehensive Dutch RDW vehicle data lookup from all available databases
Read Docs MCP
A Model Context Protocol (MCP) server providing read and write access to Taboola's Realize API. Enables AI assistants to analyze campaigns, retrieve
Rebrandly offers an official MCP server that connects AI assistants like Claude, Gemini, and GitHub Copilot to your Rebrandly account with
Install it once, point your MCP client at it, and your AI now:
Recap: Your AI project manager. Plain markdown. Local-first. Open source.
MCP server for all Recon knowledge — getrecon.xyz, book.getrecon.xyz, and getrecon.substack.com
Access your reMarkable tablet - read documents, browse files, extract text and OCR
Create spaced repetition flashcards in Rember to remember anything you learn in your chats
Local-first automatic memory for Claude Code and Codex: capture, distill, recall from SQLite.
Your codebase never forgets. Persistent, structured memory for AI coding agents.
Local-first, auto-injecting, self-aware-about-staleness context + memory layer for coding agents (Claude Code, Codex, MCP). Trust contract
Recursive Language Models for Claude Code - Infinite memory solution inspired by MIT CSAIL paper
<strong>Two commands. Your AI coding assistant gets outcome-based memory.</strong>
Not just vector search — robotmem understands the structure of robot experiences: