memory-search-mcp
io.github.CSOAI-ORG · Updated
Memory Search MCP Server by MEOK AI Labs
At a glance
memory-search-mcp is an MCP server in the Dev Tools & Git category. It runs locally over stdio via `uvx memory-search-mcp`, and declares no required credentials. It scores B (71/100) on the MCP Skills Hub health score as of Oct 27, 2026.
One-click install
Opens your editor and pre-fills the config. Your editor will ask before adding it.
How to install memory-search-mcp in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install memory-search-mcp in Claude CodeAnthropic's agentic CLI
Add the server
bashclaude mcp add memory-search-mcp -- uvx memory-search-mcpVerify it's connected
bashclaude mcp listSharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.
How to install memory-search-mcp in Claude DesktopDesktop app (MCP config)
Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json
Add this server
json{ "mcpServers": { "memory-search-mcp": { "command": "uvx", "args": [ "memory-search-mcp" ] } } }Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.
How to install memory-search-mcp in CursorAI-first code editor
Create / edit .cursor/mcp.json in your project
json{ "mcpServers": { "memory-search-mcp": { "command": "uvx", "args": [ "memory-search-mcp" ] } } }Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.
How to install memory-search-mcp in Codex CLIOpenAI coding agent
Add to ~/.codex/config.toml
toml[mcp_servers.memory-search-mcp] command = "uvx" args = ["memory-search-mcp"]Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.
How to install memory-search-mcp in WindsurfCodeium's agentic IDE
Edit ~/.codeium/windsurf/mcp_config.json
json{ "mcpServers": { "memory-search-mcp": { "command": "uvx", "args": [ "memory-search-mcp" ] } } }Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.
How to install memory-search-mcp in ClineVS Code autonomous agent
Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.
Add the server
json{ "mcpServers": { "memory-search-mcp": { "command": "uvx", "args": [ "memory-search-mcp" ] } } }
How to install memory-search-mcp in VS CodeCopilot / MCP support
Create .vscode/mcp.json
json{ "servers": { "memory-search-mcp": { "type": "stdio", "command": "uvx", "args": [ "memory-search-mcp" ] } } }Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.
What tools does memory-search-mcp expose?
This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.
What the code can do
Source analysis currently covers npm packages only. This server ships as a Python package, which needs a different parser.
Before you install
Signals gathered from the source repo and package registry — not a safety verdict.
What it can reach
- Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
- Downloads at launch — The package is fetched from its registry each run unless you pin a version.
- Last commit 20 days ago — Actively maintained.
- 0 GitHub stars — Very little community usage so far.
Client compatibility
Health score
B · 71Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated
- Maintenance30%100%
Last commit 20 days ago.
- Adoption20%0%
0 stars.
- Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
- Provenance15%75%
Links to its own repository; package linkage unverified.
- Packaging15%100%
Publishes a pinned version (1.0.9).
Documentation
Full READMEMemory Search MCP
Persistent AI memory system with semantic search, care-weighted episodes, temporal chains, knowle...
Persistent AI memory system with semantic search, care-weighted episodes, temporal chains, knowledge base, and memory consolidation.
Quick Install
| Client | Install | |--------|---------| | Claude Desktop |  | | Cursor |  | | VS Code |  | | Windsurf |  | | Docker | docker run -p 8000:8000 memory-search-mcp | | pip | pip install memory-search-mcp |
Overview
🚀 Quick Start
# Install via pip
pip install memory_search_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install memory-search-mcp --client claude✨ Features
- MCP protocol compliant
- Easy installation
- Well-documented API
- Production-ready
- Active maintenance
📖 Documentation
🛡️ Compliance
Alternatives to memory-search-mcp
- KEPTA — the memory for AI systemsA · 81Local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud.
- Obsidian Semantic SearchA · 80Read-only semantic search MCP server for Obsidian vaults using local Ollama embeddings.
- collective-memoryB · 70MCP server for persistent, semantic memory across AI sessions
- Gmail-MCP-ServerA · 87Lean Gmail MCP server with auto authentication support
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