Product team uses Claude, data team uses GPT
Each connects to the same Strattum via MCP. No duplicated integration, no two Memory Graphs.
"Migrate from Claude to GPT-5? Change one config in the client." — no refactor.
Strattum MCP Server Strattum MCP Server delivers Memory Graph, Knowledge, and Skills to Claude, ChatGPT, Copilot, and Cursor through an open protocol.
The AI frontier redefines itself every quarter — today's leading model becomes legacy in months. With Strattum, context, governance, and integrations live outside the model. Switching the LLM is a configuration decision, not an engineering project.
MCP is the standard adopted by Anthropic, OpenAI, Microsoft, and Google. Strattum implements the full specification — Claude, GPT, Gemini, or the next entrant consumes the same endpoint, no refactor.
Memory Graph, Knowledge, and native tools live in Strattum. The model is a client — disposable and replaceable.
RBAC, audit trail, and Strattum Governance policies apply to every tool call, regardless of which LLM originated the request. Compliance does not restart from zero on every migration.
Different teams run different models against the same Memory Graph. Evaluating a new provider means pointing an additional MCP client — no duplicated pipeline, no fragmented context.
Strattum generates MCP credentials per agent/team. stdio or SSE endpoint.
In Claude Desktop, Cursor, ChatGPT — add the Strattum endpoint. Tools appear automatically.
Every call is validated, executed, logged. Response returns to the agent — which continues reasoning.
Skills become tools without rebuild. A Skill committed to Git appears as a tool on the next connect.
Supports all 3 MCP transports. Use what your client prefers.
One Memory Graph, multiple models. One team uses Claude, another uses GPT — same context.
Performance optimized for real-time use, no additional configuration.
Every tool call logged — to Splunk, Datadog, or your SIEM.
Per agent, per team, per tool. Prevents abuse and controlled burst.
Each connects to the same Strattum via MCP. No duplicated integration, no two Memory Graphs.
Cursor and Copilot connected to Strattum — dev asks about a customer directly from the editor.
Open WebUI connected via MCP. Employee queries Knowledge + Memory Graph + executes Skills.
search_entity, get_entity_context, run_cypher — all graph tools, exposed via MCP.
Explore Memory Graph →
Every Skill automatically becomes an MCP tool. No rebuild required after commit.
Explore Skills →Schedule a 30-minute demo. We show Strattum running with data similar to yours, in the architecture your enterprise can receive.