A Model Context Protocol (MCP) server that provides persistent, searchable conversation memory across multiple AI platforms. Store, search, and
A Model Context Protocol (MCP) server that provides persistent, searchable conversation memory across multiple AI platforms. Store, search, and retrieve conversation history with sub-millisecond full-text search powered by SQLite FTS5. That is what the claude memory mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 3 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverTesting — The Testing tool exposed by this serverThe server ships on PyPI as mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Configuration is passed through the environment: CLAUDE_MEMORY_DISABLE_SQLITE, CLAUDE_MCP_LOG_FORMAT, CLAUDE_MEMORY_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Claude Memory MCP's toolset — Prerequisites, Installation, Testing — is a fair guide to whether it matches your workflow. It is maintained by adamkwhite; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Claude Memory MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | The Installation tool exposed by this server. |
| Testing | The Testing tool exposed by this server. |
{
"mcpServers": {
"claude-memory": {
"command": "python",
"args": ["/absolute/path/to/claude-memory-mcp/src/server_fastmcp.py"],
"cwd": "/absolute/path/to/claude-memory-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| CLAUDE_MEMORY_DISABLE_SQLITE | Configuration value read at startup. | Optional |
| CLAUDE_MCP_LOG_FORMAT | Configuration value read at startup. | Optional |
| CLAUDE_MEMORY_PATH | Filesystem location the server is allowed to use. | Optional |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.