AI & MemoryMCP Registryremote4 toolsA · 88

Synap Memory MCP server

Name: Synap Memory
Author: maximem.ai

ai.maximem · Updated 3mo ago

Persistent memory for AI agents — log and recall conversation context over MCP.

At a glance

Synap Memory is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and needs Authorization. It exposes 4 tools, including log_exchange, check_memory_status and recall_context. It scores A (88/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 77

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Synap Memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Synap Memory in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add --transport http synap https://synap-mcp.maximem.ai/mcp --header 'Authorization: Bearer <YOUR_TOKEN>'

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.
3
Verify it's connected
bash
```
claude mcp list
```
Sharing 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. log_exchange, check_memory_status, recall_context). It discovers them automatically.

How to install Synap Memory 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": {
    "synap": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://synap-mcp.maximem.ai/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.
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 Synap Memory in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

{
  "mcpServers": {
    "synap": {
      "url": "https://synap-mcp.maximem.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.
Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install Synap Memory in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.synap]
command = "npx"
args = ["-y", "mcp-remote", "https://synap-mcp.maximem.ai/mcp", "--header", "Authorization:${AUTH_HEADER}"]
env = { AUTH_HEADER = "Bearer <YOUR_TOKEN>" }

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.
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 Synap Memory in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

{
  "mcpServers": {
    "synap": {
      "serverUrl": "https://synap-mcp.maximem.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.
Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install Synap Memory in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

{
  "mcpServers": {
    "synap": {
      "type": "streamableHttp",
      "url": "https://synap-mcp.maximem.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.

How to install Synap Memory in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "synap": {
      "type": "http",
      "url": "https://synap-mcp.maximem.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Fill in your credentials
Replace Bearer <YOUR_TOKEN> with your real value. Keep secrets out of any config file you commit.
Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What does Synap Memory need from you?

Bearer token — Synap API key as a Bearer token, e.g. 'Bearer synap_...'. From https://synap.maximem.ai

AuthorizationrequiredsecretHTTP header
Synap API key as a Bearer token, e.g. 'Bearer synap_...'. From https://synap.maximem.ai

What tools does Synap Memory expose? (4)

Read from the live server. Click any tool for its input schema.

log_exchangeAfter each user message, send the exchange here so it can be remembered. You do not need to decide what is important, just forward the user message (and your reply, if you have one) and Synap will keep what matters. If your app serves more than one end-user, pass that person's stable id as user_id so each person's memory stays separate; if every conversation is the same single user, omit it. SCOPI
check_memory_statusCheck whether a logged exchange has finished processing. Pass the ingestion_id returned by log_exchange. Returns the processing status and how many memories were extracted. Useful to confirm a save completed (extraction is asynchronous). Takes no user_id or customer_id: an ingestion_id already identifies the write, so the identifier contract does not apply here.
recall_contextBefore replying, call this to recall anything already known about this user from past conversations. Use the user's latest message as the query. If you serve multiple end-users, pass the same user_id you log with so you recall the right person's memory. SCOPING: customer_id is B2B ONLY. On a B2B instance (user_context_isolation=strict) it is REQUIRED and a user_id on its own is an error. On a B2C
list_recent_memoriesList recent things remembered about this user. Useful for debugging or to confirm that memory is working. Pass user_id to scope to one person. SCOPING: customer_id is B2B ONLY. On a B2B instance (user_context_isolation=strict) it is REQUIRED and a user_id on its own is an error. On a B2C instance (user_context_isolation=equals_customer) it is NOT accepted: the API rejects it with HTTP 400, custome

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 synap-mcp.maximem.ai.
No local execution — Nothing is installed or run on your machine.

Last commit today — Actively maintained.
77 GitHub stars — Community adoption signal.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

A · 88

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 0 days ago.
Adoption20%57%
77 stars.
Transparency20%100%
4/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✓ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%100%
Remote endpoint with documented authentication.

Documentation

Full README

Your agents forget between conversations. Synap makes them remember.

Docs · Quickstart · Benchmark results · Evals (reproduce our numbers) · Discussions · Dashboard

The memory layer for production AI agents

Synap gives your agents memory that lasts across conversations, sessions and devices. It scores 95.6% on LongMemEval and 93.2% on LoCoMo (every LongMemEval answer is published, reproduce with our open harness), fetches context in ~15ms P50 (internal measurement) before your agent asks, and ships native packages for 24 agent frameworks.

LangChain · LangGraph · LlamaIndex · CrewAI · AutoGen · Haystack · Google ADK · OpenAI Agents · Semantic Kernel · Pydantic AI · Agno · LiveKit · Pipecat · Claude Agent · Mastra · Vercel AI SDK · NeMo Agent Toolkit · Microsoft Agent Framework

What's open, what's hosted

| | This repo (Apache 2.0) | Synap Cloud (managed) | |---|---|---| | Python + JS SDKs, 24 framework packages, MCP adapter | ✅ open source | uses them | | Memory engine: ingestion, entity resolution, retrieval, anticipation | — | ✅ runs here | | What you need | pip install maximem-synap | an API key. Free Trial plan: 12,500 credits/month, 1 agent, no card required (pricing) |

Every plan, including the free one, gets every Synap capability. Plans differ on volume and support, not features.

Benchmarks

Synap's scores on the two standard long-term memory benchmarks, produced with our open-source harness on the official dataset releases.

| Benchmark | Synap accuracy | Scope | Answer model / judge | |---|---|---|---| | LongMemEval, all 500 questions (results) | 95.6% (478 / 500) | Full set, 6 categories | gemini-3.8-flash / gpt-4o | | LongMemEval, answerable questions (results) | 95.7% (450 / 470) | 30 abstention questions excluded | gemini-3.8-flash / gpt-4o | | LongMemEval retrieval, Recall@20 (results) | 98.1% (461 / 470) | Abstention excluded | none / gpt-4o | | LoCoMo (results) | 93.2% | Cat 1–4, adversarial excluded | gpt-5-mini / gpt-5-mini |

The LongMemEval run is from October 2026 and the LoCoMo run from 2026-06-20. For LongMemEval, the retrieved memories, answer and judge verdict for every one of the 500 questions are published, so you can recompute the score.

Excerpt — the full document is on GitHub.

Alternatives to Synap Memory

Maintain Synap Memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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