Solucortex MCP is answering right now. Last checked 4 min ago. 76 installs a week from pypi. It exposes 6 tools. Last commit 7 Sep 2026.
Living technical memory for AI agents: recall approved project context, record what was learned.
Today is the operative word: we check Solucortex MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.
claude mcp add solucortex-mcp --transport http https://mcp.solucortex.ai/mcp
{
"mcpServers": {
"solucortex-mcp": {
"url": "https://mcp.solucortex.ai/mcp"
}
}
}
[mcp_servers.solucortex-mcp]
url = "https://mcp.solucortex.ai/mcp"
{
"mcpServers": {
"solucortex-mcp": {
"url": "https://mcp.solucortex.ai/mcp"
}
}
}
{
"mcpServers": {
"solucortex-mcp": {
"url": "https://mcp.solucortex.ai/mcp"
}
}
}
This one needs environment variables set before it will start:
SOLUCORTEX_API_KEY (SoluCortex project API key (scx_...). Get one at https://solucortex.ai.), SOLUCORTEX_PROJECT_ID (Default project UUID. Optional: the backend infers it from the API key.).
The author declared them in the registry entry; get the values from the project itself.
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
solucortex_flag_memory
solucortex_list_memories
solucortex_recall
solucortex_remember
solucortex_search
solucortex_update_memory
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mcp.solucortex.ai/mcp | streamable-http | answering | 725 ms | 4 min ago |
Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
Persistent memory for AI agents — log and recall conversation context over MCP.
ArkHive MCP: governed, tamper-evident local memory for AI agents. Where context gives meaning.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Local-first memory engine for AI-agent teams: team/project ACL, recall, and federated sync.
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
Context engineering for AI coding agents: product context, project missions, and 360 memory.
Answers built from our own checks of this server.