Your agent now has structured, searchable memory that persists across every session - long-term facts, a user profile, agent instructions, an entity
Your agent now has structured, searchable memory that persists across every session - long-term facts, a user profile, agent instructions, an entity graph, and daily logs - all managed automatically. No changes to your agent's code. That is what the groundmemory 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 1 tool. What each one is for:
Philosophy — 1. Simplicity over features. Every addition must justify its complexity. A zero-dependency BM25-only mode must always work. 2. Offline-first.Configuration is passed through the environment: GROUNDMEMORY_EMBEDDING__BASE_URL, GROUNDMEMORY_EMBEDDING__API_KEY. 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.
groundmemory on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
This sits in the monitoring and observability group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Groundmemory's toolset — Philosophy — is a fair guide to whether it matches your workflow. It is maintained by huss-mo; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Philosophy | 1. **Simplicity over features.** Every addition must justify its complexity. A zero-dependency BM25-only mode must always work. 2. **Offline-first.** The default configuration must not require an API key, a network conne |
{
"mcpServers": {
"GroundMemory": {
"url": "http://127.0.0.1:4242/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GROUNDMEMORY_EMBEDDING__BASE_URL | Endpoint or connection string the server talks to. | Yes |
| GROUNDMEMORY_EMBEDDING__API_KEY | Credential the server authenticates with. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.