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Scaled Memory MCP Research Agent
Version 1.0.0
Last updated Oct 12, 2026
Turn complex questions into cited research your team can inspect and use. Scaled Memory MCP Research Agent combines structured investigation, curated knowledge and live visual review to deliver a research report and a traceable research map.
About this MCP
Scaled Memory MCP Research Agent turns a research question into a structured investigation and a cited web report. Teams can follow progress in a live web app, inspect supporting and contradictory evidence, and steer the investigation as findings emerge. Governed access to the AI Knowledge Library and suitable public sources supports research into AI strategy, enterprise architecture and wider business questions. Each research case retains the plan, evidence, checks and research map, giving reviewers a practical way to assess and revisit the work.
Value Proposition
Apply Scaled Memory MCP Research Agent to research-intensive decisions: choosing a technology, shaping an AI operating model, assessing a market or preparing a client recommendation. It turns a question into a structured investigation, with a cited report and research map that show the evidence behind the findings. The research approach can be tailored to any industry or relevant use case by adapting the questions, scope and permitted sources to the customer's requirements—for example, technology selection, governance, operating-model design or market analysis.
- Accelerate option assessment: compare technologies, approaches or competitors using a consistent research method, helping teams move from initial questions to an informed shortlist.
- Reduce avoidable rework: inspect findings and challenge assumptions while research is running, so gaps can be addressed before they carry into a design, proposal or decision.
- Make specialist review more efficient: give architects, analysts and decision-makers direct access to supporting sources and quotations, reducing the effort needed to reconstruct and check the research.
- Carry knowledge into delivery: retain the research case alongside the report so colleagues can understand the rationale, revisit the evidence and use it when developing the next deliverable.
The value comes from shortening the path from research to an informed decision, focusing expert attention on the findings that matter and preserving the work for reuse.
Key Use Cases
Enterprise architecture and technology decisions: investigate a design question, compare alternatives and examine the evidence behind key assumptions. Give reviewers a cited report and research map they can use to assess the recommendation.
AI strategy and operating-model research: combine curated AI knowledge with wider research to explore capabilities, governance and ways of working. Track the hypotheses and evidence that shape the proposed approach.
Business and market research: investigate a company, competitor or business question using permitted sources. Organise the findings into a traceable brief for planning and decision-making.
Collaborative research review: follow a live investigation, inspect evidence relationships and add questions or hypotheses as the work develops. Bring reviewer input into the research before publication.
Research handover and reuse: retain the cited report alongside its research map, source provenance and checks. Give colleagues a clear path back to the evidence when reviewing or extending a decision.
Capabilities
- Create research cases with a defined question, scope, plan, subquestions and hypotheses.
- Search the AI Knowledge Library and discover suitable public sources.
- Acquire source material and record provenance, quotations and findings.
- Check quotations and draft answers against supporting evidence; flag unsupported or unresolved claims.
- Maintain a live research tree and logic map for progress review and evidence inspection.
- Accept authorised editor input through the case web app, including additional subquestions, hypotheses and notes.
- Publish a cited web report and research map, with expiring, revocable package links.
