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Strattum MCP Server

Enterprise context for any AI agent.

Strattum MCP Server delivers Memory Graph, Knowledge, and Skills to Claude, ChatGPT, Copilot, and Cursor through an open protocol.

Memory Graph
living company graph
Knowledge
documents + RAG
Skills
executable actions
Internal APIs
any company endpoint
online
Strattum
MCP Server
open standard · permission-aware · zero lock-in
Claude
Claude
Anthropic
ChatGPT
ChatGPT
OpenAI
Copilot
Copilot
Microsoft
Gemini
Gemini
Google
OpenClaw
OpenClaw
open-source
+
+ frameworks
Langchain · CrewAI · Mastra · n8n

Your context lives outside
the model you use.

The AI frontier redefines itself every quarter, and today's leading model becomes legacy in months. At Strattum, context, governance, and integrations live outside the model, so switching the LLM is a configuration change.

Open protocol, vendor agnostic

MCP is the standard adopted by Anthropic, OpenAI, Microsoft, and Google. Strattum implements the full specification, so Claude, GPT, Gemini, or the next entrant consumes the same endpoint with no refactor.

Context decoupled from model

Memory Graph, Knowledge, and native tools live in Strattum. The model comes in as a client and can be replaced at any time.

Governance that survives model migration

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.

Multi-model simultaneous, same foundation

Different teams run different models against the same Memory Graph. Evaluating a new provider means pointing an additional MCP client at the same pipeline and the same context.

3 minutes
from agent to enterprise context.

1

Configure the MCP Server

Strattum generates MCP credentials per agent/team. stdio or SSE endpoint.

  • Per-agent credentials
  • stdio + SSE + HTTP
  • Configurable scope
2

Connect the MCP client

In Claude Desktop, Cursor, or ChatGPT, add the Strattum endpoint. The tools appear automatically.

  • Zero code
  • Automatic discovery
  • Inline documentation
3

Agent uses the tools

Every call is validated, executed, and logged. The response returns to the agent, which continues reasoning.

  • Auth + permissions
  • Audit trail
  • Latency <500ms p95

Full MCP,
with enterprise extras.

Dynamic tools

Skills become tools without rebuild. A Skill committed to Git appears as a tool on the next connect.

stdio + SSE + HTTP

Supports all 3 MCP transports. Use what your client prefers.

Multiple models

One Memory Graph and multiple models. One team uses Claude, another uses GPT, both over the same context.

Optimized latency

Performance optimized for real-time use, no additional configuration.

Audit + observability

Every tool call is logged to Splunk, Datadog, or your SIEM.

Rate limiting

Per agent, per team, per tool. Prevents abuse and controlled burst.

Three operations
over the same endpoint.

Multi-model

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."
Internal Copilot

IDE with enterprise context

Cursor and Copilot connected to Strattum, so a dev asks about a customer directly from the editor.

"@strattum which customers use feature X?" → answer with context, inside the editor.
Open WebUI

Internal ChatGPT for employees

Open WebUI connected via MCP. Employee queries Knowledge + Memory Graph + executes Skills.

Agent: "Maria's history + contract status + open high-priority ticket." All in one chat.

MCP Server is the gateway
to the entire platform.

Memory Graph

search_entity, get_entity_context, and run_cypher. All graph tools, exposed via MCP.

Explore Memory Graph →

Knowledge

Document search with per-chunk citation exposed as MCP tools.

Explore Knowledge →

Skills

Every Skill automatically becomes an MCP tool. No rebuild required after commit.

Explore Skills →

Connect your first agent
in under 3 minutes.

Schedule a 30-minute demo. We show Strattum running with data similar to yours, in the architecture your enterprise can receive.

MCP-native · stdio + SSE + HTTP · Claude · GPT · Copilot · Gemini · Cursor