MemoryRouter MCP server
ai.memoryrouter · Updated
Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.
At a glance
MemoryRouter is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and declares no required credentials. It exposes 10 tools, including search_memories, date_search_memories and store_memory. It scores D (33/100) on the MCP Skills Hub health score as of Oct 28, 2026.
One-click install
Opens your editor and pre-fills the config. Your editor will ask before adding it.
How to install MemoryRouter in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install MemoryRouter in Claude CodeAnthropic's agentic CLI
Add the server
bashclaude mcp add --transport http memoryrouter https://mcp.memoryrouter.ai/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 (e.g. search_memories, date_search_memories, store_memory). It discovers them automatically.
How to install MemoryRouter 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": { "memoryrouter": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.memoryrouter.ai/mcp" ] } } }Why the wrapper?
This is a remote (HTTP) server and Claude Desktop only launches local processes, so mcp-remote proxies the connection. It will open a browser window if the server needs OAuth.
Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.
How to install MemoryRouter in CursorAI-first code editor
Create / edit .cursor/mcp.json in your project
json{ "mcpServers": { "memoryrouter": { "url": "https://mcp.memoryrouter.ai/mcp" } } }Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.
How to install MemoryRouter in Codex CLIOpenAI coding agent
Add to ~/.codex/config.toml
toml[mcp_servers.memoryrouter] command = "npx" args = ["-y", "mcp-remote", "https://mcp.memoryrouter.ai/mcp"]Why the wrapper?
Codex runs MCP servers as local processes, so mcp-remote bridges this HTTP endpoint to stdio.
Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.
How to install MemoryRouter in WindsurfCodeium's agentic IDE
Edit ~/.codeium/windsurf/mcp_config.json
json{ "mcpServers": { "memoryrouter": { "serverUrl": "https://mcp.memoryrouter.ai/mcp" } } }Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.
How to install MemoryRouter in ClineVS Code autonomous agent
Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.
Add the server
json{ "mcpServers": { "memoryrouter": { "type": "streamableHttp", "url": "https://mcp.memoryrouter.ai/mcp" } } }
How to install MemoryRouter in VS CodeCopilot / MCP support
Create .vscode/mcp.json
json{ "servers": { "memoryrouter": { "type": "http", "url": "https://mcp.memoryrouter.ai/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 MemoryRouter expose? (10)
Read from the live server. Click any tool for its input schema.
- search_memoriesUse this when the user asks about a prior decision, preference, person, project, or other fact that may be in their connected MemoryRouter vault. Semantically searches only the OAuth-selected vault and does not modify it. Tier guide: tier 3 holds the highest-level consolidated reflections (identity, principles, what matters most), tier 2 holds reflections of specific meaningful events, tier 1 hold
- date_search_memoriesUse this to retrieve memories from a specific time window, for questions like 'what happened last week' or 'most important things this month or lately'. Tier guide: tier 3 holds the highest-level consolidated reflections (identity, principles, what matters most), tier 2 holds reflections of specific meaningful events, tier 1 holds raw verbatim memories. Match filters to the question. Time-bounded
- store_memoryUse this only when the user explicitly asks to remember something or confirms a proposed durable fact. Saves concise user-approved content to the OAuth-selected vault; do not use it for silent conversation capture.
- memory_statusUse this when the user asks whether MemoryRouter is connected, which opaque vault binding is active, or how many memories/tokens the connected vault contains. Does not reveal the memory key.
- forget_all_memoriesUse this only after the user explicitly requests a full-vault deletion, receives a permanent whole-vault warning, and provides the exact confirmation phrase in a later turn. Permanently deletes every memory in the OAuth-selected vault. This cannot delete one memory; use delete_memories for specific items. Requires separate memories:delete authorization and destructive host confirmation.
- consolidate_memoriesUse this when the user asks to consolidate, reflect on, or organize their memories, or when memory_status or a search result reports that consolidation is available. Checks out a batch of unconsolidated memories from the connected vault under a 15 minute lease and returns their texts plus server instructions for writing reflection entries. Follow the returned instructions to write the entries, the
- commit_reflectionsUse this to complete a consolidation started with consolidate_memories. Submits the reflection entries you wrote for the checked-out batch. Each entry is standalone prose with an importance rating from 1 to 10. The server stores the reflections, links them to their source memories, and marks the sources consolidated. Safe to retry: committing the same batch twice returns the original result.
- inspect_memoryUse this when the user asks why the assistant believes something, or wants to see the source memories behind a reflection. Given a memory id from a search result, returns the lower-tier memories that reflection was built from, or, for a raw memory, which reflections it was consolidated into. Use repeatedly to drill down from a high-level reflection to the tier 2 reflections and raw memories beneat
- delete_memoriesUse this only when the user explicitly asks to delete specific memories and confirms after seeing what will be deleted. Permanently deletes the identified memories from the connected vault by their ids from search or inspect results. Deleting a raw memory does not delete reflections built from it. This cannot be undone. For deleting everything, forget_all_memories is the separate whole-vault tool.
- searchUse this legacy compatibility alias when a client explicitly requests a tool named search. It searches the OAuth-selected MemoryRouter vault without modifying it. For normal ChatGPT recall, prefer search_memories; this tool does not provide citable item permalinks or Company Knowledge fetch support.
What the code can do
This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.
Before you install
Signals gathered from the source repo and package registry — not a safety verdict.
What it can reach
- Third-party hosted service — Your requests and any data in them are sent to mcp.memoryrouter.ai.
- No local execution — Nothing is installed or run on your machine.
- No source repository — This registry entry does not link to a public repo, so its code cannot be reviewed before you install it.
Client compatibility
Health score
D · 33Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated
- Maintenance30%not measurable
No commit history available.
- Adoption20%not measurable
No usage data available.
- Transparency20%25%
1/4: ✗ public source repo, ✗ declared license, ✗ documentation, ✓ discoverable tool list.
- Provenance15%0%
No source repository to trace the code back to.
- Packaging15%75%
Remote endpoint; authentication requirements not declared.
Alternatives to MemoryRouter
- MemoryPluginD · 33Give every AI you use one shared, permanent memory. Store once, recall in whichever AI you open.
- mcp-memory-rsB · 64Local-first agent memory: versioned JSON categories, BM25 search, per-device ACL, fleet sync.
- MemoryA · 93Knowledge-graph based persistent memory, letting an assistant retain entities, relations and observations across sessions.
- Synap MemoryA · 88Persistent memory for AI agents — log and recall conversation context over MCP.
Maintain MemoryRouter? Add a badge to your README
Shows its health grade, and links readers to install steps for every client.
[](https://mcp-skills-hub.vercel.app/mcps/ai-memoryrouter-memoryrouter)Catalog data refreshed . Something wrong? Report it.