Skip to content
InfratoApp
InfratoApp / MCP servers / Memory & vectors

MCP servers for memory & vectors

109 of the 8,106 servers we have read are placed here — embedding stores and agent memory. Placed by a stated rule over what each one declares it reaches and what it says it does, never by a classifier. Every row on this page, not a sample.

109 of the 8,106 MCP servers we have read are placed under memory & vectors. The most starred is iwe with 1,790 stars, and 3 are named as a vendor’s official server.

Most starred

Every server placed in memory & vectors

  • Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents

    No credential named

    LISTED · ★ 1790
  • An official Qdrant Model Context Protocol (MCP) server implementation

    qdrant

    Needs QDRANT_API_KEY

    LISTED · ★ 1553
  • MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development

    No credential named

    LISTED · ★ 886
  • Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

    No credential named

    LISTED · ★ 767
  • The most comprehensive code intelligence MCP server for AI coding agents. 40+ tools, 30+ languages, 9 agent integrations. Pre-indexed semantic knowledge graphs for instant code understanding — fewer tokens, fewer tool calls, 100% local.

    No credential named

    LISTED · ★ 675
  • A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma

    chroma

    Needs CHROMA_API_KEY · CHROMA_CUSTOM_AUTH_CREDENTIALS

    STALE · ★ 601
  • Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

    No credential named

    LISTED · ★ 504
  • Your First LLM-Wiki Conversation Knowledge Base

    beevercredentialgooglejina+1

    Needs BEEVER_MCP_KEY · CREDENTIAL_MASTER_KEY · GOOGLE_API_KEY · JINA_API_KEY · WEAVIATE_API_KEY

    LISTED · ★ 451
  • A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

    No credential named

    LISTED · ★ 354
  • A graph DB-based MCP memory server for coding agents with intelligent relationship tracking

    memorygraph

    Needs MEMORYGRAPH_API_KEY

    LISTED · ★ 255
  • Model Context Protocol Servers for Milvus

    No credential named

    LISTED · ★ 245
  • NeuralMemory stores experiences as interconnected neurons and recalls them through spreading activation, mimicking how the human brain works. Instead of searching a database, memories are retrieved through associative recall - activating related concepts until the relevant memory emerges.

    No credential named

    LISTED · ★ 242
  • Persistent memory for AI coding agents

    No credential named

    LISTED · ★ 225
  • next-generation AI memory infrastructure (powered by mem0 and graphiti)

    No credential named

    LISTED · ★ 170
  • Open-source cognitive coprocessor with active memory for AI agents — persistent recall, semantic search, overnight dreaming, verified facts, encrypted USB sync. MCP server; works with Claude, ChatGPT, and any local LLM. Built by one maker and his agents.

    No credential named

    LISTED · ★ 158
  • MCP server for persistent context management in AI coding assistants

    Needs MCP_CHARS_PER_TOKEN

    LISTED · ★ 136
  • A vector embedding-based code semantic search tool with MCP server and multi-model integration. Can be used as a pure CLI tool. Supports Ollama for fully local embedding and reranking, enabling complete offline operation and privacy protection for your code repository

    No credential named

    LISTED · ★ 121
  • Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.

    googleqdrant

    Needs GOOGLE_API_KEY

    LISTED · ★ 111
  • Needle MCP Server for easy RAG.Long-term memory for LLMs.

    needle

    Needs NEEDLE_API_KEY

    STALE · ★ 104
  • A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.

    mem0openaisupabase

    Needs MEM0_API_KEY · OPENAI_API_KEY · SUPABASE_KEY

    LISTED · ★ 96
  • Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with semantic search.

    codealive

    Needs CODEALIVE_API_KEY

    LISTED · ★ 90
  • A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request execution capabilities. Perfect for integrating private APIs with Claude Desktop.

    No credential named

    STALE · ★ 82
  • AI Memory

    No credential named

    LISTED · ★ 77
  • Connect your Pinecone projects to Cursor, Claude, and other AI assistants

    pinecone

    Needs PINECONE_API_KEY

    LISTED · ★ 72
  • Semantic search for Hex documentation, right in your editor ✨

    No credential named

    STALE · ★ 70
  • Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

    No credential named

    LISTED · ★ 68
  • Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.

    No credential named

    LISTED · ★ 64
  • Outsource your understanding. Capture every human-AI decision as a step in a trajectory; grade trajectories retroactively when outcomes land (deal closed, sprint shipped). Hooks + MCP server for Claude Code, Qdrant + FastEmbed local-first.

    qdrant

    No credential named

    LISTED · ★ 59
  • Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

    voyage

    Needs VOYAGE_API_KEY

    LISTED · ★ 58
  • 🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.

    google

    Needs GOOGLE_API_KEY

    STALE · ★ 56
  • Persistent memory, semantic search, and shared project context for AI agents with traceable sources and scoped access. Carry decisions, lessons, and intent across sessions and tools.

    contextstream

    Needs CONTEXTSTREAM_API_KEY

    LISTED · ★ 44
  • MCP server for Chroma

    chroma

    No credential named

    STALE · ★ 41
  • Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

    No credential named

    LISTED · ★ 40
  • Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

    No credential named

    LISTED · ★ 39
  • Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.

    No credential named

    LISTED · ★ 37
  • Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

    No credential named

    LISTED · ★ 36
  • infino-ai/supergrep
    ↗

    Retrieval + inference offload for AI coding agents.

    No credential named

    LISTED · ★ 32
  • Hosted persistent memory for AI agents over MCP. Tell it a recalled memory helped or misled, and it re-ranks what comes back next. Shared rooms for multi-agent work. One key or OAuth across Claude Code, Cursor, VS Code and ChatGPT. MIT, in the official MCP Registry.

    mnemoverse

    Needs MNEMOVERSE_API_KEY

    LISTED · ★ 27
  • The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 24 parsers (incl. EPUB, DOCX, ODT, MIDI, audio), FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free.

    No credential named

    LISTED · ★ 26
  • MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

    No credential named

    LISTED · ★ 26
  • Persistent cognitive memory for AI agents — drop-in MCP server for Claude Code, Cursor, and Windsurf with temporal decay, contradiction detection, a knowledge graph, and autonomous consolidation, backed by the YantrikDB Rust engine.

    yantrikdb

    Needs YANTRIKDB_API_KEY · YANTRIKDB_TOKEN

    LISTED · ★ 25
  • MCP Server for ChromaDB integration into Cursor with MCP compatible AI models

    No credential named

    STALE · ★ 25
  • MCP server designed to help you search and analyze your photo library (iCloud - Apple photos)

    No credential named

    STALE · ★ 24
  • 🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

    libsql

    Needs LIBSQL_AUTH_TOKEN

    STALE · ★ 24
  • A simple MCP server that stores and retrieves memories from multiple LLMs.

    No credential named

    LISTED · ★ 22
  • Stop AI Coding from forgetting. A knowledge graph–driven memory layer for LLMs (ChatGPT, Claude, Codex, DeepSeek, Gemini), enabling persistent long-term memory beyond context window limits. Build smarter AI agents with structured context, better consistency, and scalable multi-step reasoning across complex coding workflows.

    No credential named

    LISTED · ★ 20
  • MCP server with semantic search + knowledge graph for Claude Code, Cursor, and Copilot

    No credential named

    LISTED · ★ 20
  • Code Intelligence Engine — indexes your codebase and gives AI assistants deep understanding via MCP (semantic search, call graphs, 20+ tools)

    No credential named

    LISTED · ★ 19
  • Self-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault. Agent-native, Obsidian-compatible second brain — markdown RAG, no vector DB.

    No credential named

    LISTED · ★ 17
  • Local-first agent memory MCP - cross-agent brain with token-saving file diff cache. By Synapse Arrows.

    jwt

    Needs JWT_SECRET

    LISTED · ★ 15
  • Never lose context again - persistent memory management system for AI-powered workflows across multiple tools

    No credential named

    STALE · ★ 14
  • The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client with adaptive tool learning and MCP server.

    chroma

    No credential named

    LISTED · ★ 13
  • Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.

    No credential named

    LISTED · ★ 12
  • XMemo: user-owned Memory OS for AI agents. Public client (@xmemo/client), MCP distribution, Skills and plugins.

    xmemo

    Needs XMEMO_KEY

    LISTED · ★ 12
  • MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server; works with 15+ agents.

    No credential named

    LISTED · ★ 12
  • Have LLMs save memories about you locally on your own hardware

    No credential named

    STALE · ★ 12
  • A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

    qdrantworkers

    Needs QDRANT_API_KEY · WORKERS_AI_API_TOKEN

    LISTED · ★ 10
  • High-performance MCP server for AI coding agents: persistent knowledge graph, blast radius analysis, semantic search. Built in Rust.

    No credential named

    LISTED · ★ 9
  • knowledge graphs for AI

    No credential named

    LISTED · ★ 9
  • MCP servers with local semantic search over React & React Native docs. Runs fully offline — no API key required.

    No credential named

    LISTED · ★ 8
  • Shared Memory MCP server for agentic teams - solving coordination tax with 6x token efficiency

    No credential named

    LISTED · ★ 8
  • Agentic OS that runs on any Linux — curated knowledge API for AI agents: MCP tools, skill packs, semantic search. Works with Claude Code, Cursor, Cline, Windsurf.

    No credential named

    LISTED · ★ 7
  • Official Aiqbee AI developer tools and integrations. Connect AI assistants to your Aiqbee knowledge graph via MCP.

    No credential named

    LISTED · ★ 7
  • MCP that brings persistent agent memory to Kiro, Claude Desktop, Cursor, and any MCP client — powered by agent-memory-daemon 🧠

    No credential named

    LISTED · ★ 6
  • A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

    No credential named

    LISTED · ★ 6
  • Local MCP hub for personal data — private, cross-platform, agent-ready.

    No credential named

    LISTED · ★ 6
  • Basic knowledge base mcp that can convert pdf files and make them searchable (using non-semantic search)

    No credential named

    LISTED · ★ 5
  • MCP for managing tokens for team of agent or single one

    No credential named

    LISTED · ★ 5
  • local-first temporal knowledge graph

    alicebob

    Needs ALICE_TOKEN · BOB_TOKEN

    LISTED · ★ 5
  • Distill AI coding sessions (Claude Code / Codex / Cursor) into weekly reports, ADRs, incident reviews and a knowledge graph — local-first, evidence-linked.

    No credential named

    LISTED · ★ 4
  • Adaptive memory system for AI applications. Learns which retrieval strategies work for your data, scores results using cognitive science models, builds a knowledge graph automatically, and validates every parameter change against real query history before adopting it. Patent pending.

    No credential named

    LISTED · ★ 4
  • simple memory mcp server with custom memory location

    No credential named

    STALE · ★ 4
  • simple memory mcp server with custom memory location

    No credential named

    STALE · ★ 4
  • MCP server for SkillsMP API - Search skills using keyword and AI semantic search

    skillsmp

    Needs SKILLSMP_API_KEY

    LISTED · ★ 3
  • Semantic search over 4.6 million text chunks from 20,000 classical philosophy and humanities works. Built for AI agents using FastMCP.

    No credential named

    LISTED · ★ 3
  • A local-first code retrieval MCP server for AI coding agents. Hybrid keyword + vector search over Graphify-indexed codebases, with domain-aware ranking profiles.

    No credential named

    LISTED · ★ 3
  • MCP server for Christian scholarship: BSB/WEB scripture, Greek/Hebrew word data, cross-references, patristic texts, and semantic search.

    No credential named

    LISTED · ★ 3
  • Local-first second brain with semantic search. Stores notes as Markdown files and indexes them with a local ML model — no cloud, no API keys.

    No credential named

    LISTED · ★ 3
  • Brain-inspired persistent memory for AI coding assistants. Hybrid BM25+vector search, ACT-R activation scoring, FadeMem decay, knowledge graphs, multi-agent coordination. Successor to claude-memory.

    No credential named

    LISTED · ★ 3
  • 跨工具共享记忆 + 主动建议的零依赖 MCP Server。Claude Code / Kimi Code / Cline / Cursor / Proma 共享同一份主动记忆,记住你教过的一切,并在合适时机主动开口提醒(含桌面通知 daemon)。npm @proactive-agent/mcp 0.9.2 · 本地优先 · 防投毒 · UMP 互操作

    memory

    Needs MEMORY_LLM_API_KEY

    LISTED · ★ 2
  • A Model Context Protocol server that retrieves relevant code snippets or documents to help generating pymilvus code.

    milvusopenai

    Needs MILVUS_TOKEN · OPENAI_API_KEY

    STALE · ★ 2
  • MCP server giving AI agents persistent memory: Markdown files as source of truth, hybrid BM25 + embedding search, typed graph relations. Self-hosted, single Docker image.

    team

    Needs TEAM_API_KEY

    LISTED · ★ 2
  • Intelligent MCP (Model Context Protocol) router that selects tools via embeddings, semantic search, and RAG over a Qdrant vector database. Python · FastAPI · Qdrant · Docker.

    qdrant

    No credential named

    LISTED · ★ 2
  • Universal MCP server for document CRUD across formats (TXT, JSON, YAML, CSV, XML, DOCX, XLSX, PPTX, PDF) — with versioning, sandboxed multi-root workspace, full-text search, batch ops, and optional semantic search.

    No credential named

    LISTED · ★ 2
  • Independent CLI benchmark harness for agent-memory backends (MemPalace, Mem0, Zep, OpenViking); publishes raw eval logs.

    mem0memtrustopenvikingzep

    Needs MEM0_API_KEY · MEMTRUST_JUDGE_API_KEY · OPENVIKING_API_KEY · ZEP_API_KEY

    LISTED · ★ 2
  • 一个专为AI助手设计的记忆管理系统,实现了完整的 Model Context Protocol (MCP) 服务器,帮助AI助手存储、检索和管理用户的重要信息。

    No credential named

    STALE · ★ 1
  • Local-first, reviewable memory layer for Codex with MCP, lifecycle hooks, and memory governance.

    No credential named

    LISTED · ★ 1
  • Chartbrew + AI agents. MCP server exposing Chartbrew's documented API: teams, connections, datasets, dashboards, charts, live queries, and secure embedding. TypeScript · stdio · restricted/unrestricted tool modes.

    chartbrew

    Needs CHARTBREW_API_KEY

    LISTED · ★ 1
  • MCP server for Zep Ai

    zep

    Needs ZEP_API_KEY

    STALE · ★ 1
  • Production-hardened MCP memory server for AI agents: hybrid BM25+FAISS search, circuit breaker, SLO tracking, Prometheus metrics, BND boundary evaluation. Gives AI persistent long-term memory that survives across sessions.

    No credential named

    LISTED · ★ 1
  • A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.

    No credential named

    LISTED · ★ 1
  • Weaviate MCP Client for FlowMasters AI Agency

    weaviate

    Needs WEAVIATE_API_KEY

    STALE · ★ 1
  • A local-first, generic persistent memory layer for MCP agents, with semantic search, revisions, provenance, temporal recall, and relationships.

    No credential named

    LISTED · ★ 1
  • Python Chroma MCP

    chroma

    No credential named

    STALE · ★ 1
  • Repository knowledge graph for Cursor and Claude Code. Trace callers, callees, symbol definitions, and dependencies to understand unfamiliar code and make better-informed changes.

    No credential named

    LISTED · ★ 1
  • Living memory system for AI assistants — SQLite + MCP with decay, learning, and knowledge graph

    memorysqlite

    Needs MEMORY_API_TOKEN

    LISTED · ★ 1
  • MCP server for a compliance knowledge graph: 686 frameworks, 21,696+ controls, 310K+ cross-framework mappings. Node and Python implementations over stdio, plus a hosted endpoint.

    No credential named

    LISTED · ★ 0
  • Local semantic search over React Native docs for AI agents — no API key

    No credential named

    LISTED · ★ 0
  • MCP server over a cited knowledge graph on the Laws of the Game and world football competitions. Remote streamable-HTTP, 8 tools, no auth.

    No credential named

    LISTED · ★ 0
  • Self-installing MCP memory server using Qdrant Embedded DB. Zero-config setup for Claude Code, Codex, Cursor and more. Compatible with any MCP-capable client.

    qdrant

    No credential named

    LISTED · ★ 0
  • MCP server over a cited knowledge graph on testing, benchmarking and auditing AI agents. Remote streamable-HTTP, 8 tools, no auth.

    No credential named

    LISTED · ★ 0
  • MCP server over a cited knowledge graph on Spain's contributions to science, exploration and culture. Remote streamable-HTTP, 8 tools, no auth.

    No credential named

    LISTED · ★ 0
  • Lightweight local-first persistent memory for coding agents and MCP clients.

    No credential named

    LISTED · ★ 0
  • MCP server for semantic search with Qdrant vector database

    qdrant

    Needs QDRANT_API_KEY

    STALE · ★ 0
  • LanceDB MCP Server nodejs

    No credential named

    STALE · ★ 0
  • ByteRover Team Memory public documentation modeled after the MiroFish docs pattern.

    No credential named

    LISTED · ★ 0
  • Hjarni MCP Server — Give your AI long-term memory. Note-taking app with built-in MCP server for Claude and ChatGPT.

    No credential named

    LISTED · ★ 0
  • enhanced memory mcp from official code (fuzzy search, etc)

    No credential named

    STALE · ★ 0
  • Art provenance MCP server — 282K-node knowledge graph, cited answers, named custody gaps. Free open beta at provenio.art

    No credential named

    LISTED · ★ 0

Common questions about MCP servers for memory & vectors

What are the most popular MCP servers for memory & vectors?
By GitHub stars: iwe (1,790 stars), mcp-server-qdrant (1,553 stars), mcp-knowledge-graph (886 stars), context-portal (767 stars), tokensave (675 stars). Stars measure popularity, not quality, so read what each one reaches and how it is maintained.
What do MCP servers for memory & vectors connect to?
Among those placed here, the most common things they say they reach are qdrant (7 servers), chroma (4 servers), google (3 servers), mem0 (2 servers), memory (2 servers), openai (2 servers), weaviate (2 servers), zep (2 servers).
Which MCP servers for memory & vectors need a credential?
30 of 109 name a credential in their source; the most common are GOOGLE_API_KEY (3), QDRANT_API_KEY (3), MEM0_API_KEY (2), OPENAI_API_KEY (2), WEAVIATE_API_KEY (2). A server with no credential listed has not been shown to need none; check its README.
Are there official MCP servers for memory & vectors?
Yes: mcp-server-qdrant, chroma-mcp and caura are named as a vendor’s own server.
How are servers placed under memory & vectors?
By a stated rule over what each one declares it reaches and what it says it does, never by a classifier. A server can sit in no category when no rule fired, which does not mean it belongs nowhere.