Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI Integrations, MCP, and Tool-Using Agents: Connecting Models to Data, APIs, Tools, and Enterprise Systems

AI Integrations, MCP, and Tool-Using Agents: Connecting Models to Data, APIs, Tools, and Enterprise Systems

Habib

Paperback

Business General

ISBN13: 9798189981654
Publisher: Independently Published
Published: Jul 31 2026
Pages: 98
Weight: 0.31
Height: 0.20 Width: 6.00 Depth: 9.00
Language: English
AI Integrations, MCP, and Tool-Using Agents offers a disciplined guide for professionals who need AI systems to retrieve information, call tools, and act across business environments without losing control of identity, permissions, evidence, or human authority. The book begins with a simple question, should a model receive a particular tool and permission for a defined task, and under what conditions can that decision remain safe, reviewable, and reversible? From that starting point, it explains APIs, Model Context Protocol, function calling, tool contracts, resources, side effects, approval gates, and least privilege in plain language tied to real decisions. Readers are shown how to map the full service around an agent, including users, models, prompts, data, enterprise applications, suppliers, security controls, logs, incidents, and retirement. Structured methods guide use case selection, architecture choice, vendor comparison, workflow design, testing, release, and ongoing review. Detailed records help teams define tool behavior, set permission boundaries, verify outputs, manage exceptions, and assign owners for every material decision. The book also addresses prompt manipulation, excessive access, exposed secrets, unsafe actions, schema changes, privacy leakage, runaway retries, and failures across connected systems. A complete case study follows an internal assistant that searches controlled documents, queries CRM, creates tasks, and drafts client communications under staged controls. Appendices provide readiness assessments, use case canvases, workflow specifications, risk registers, scorecards, glossaries, and verification records that can be adapted for organizational use. Written for managers, consultants, analysts, product teams, developers, reviewers, and decision makers, this book treats tool-using AI as an operating capability that must earn trust through clear purpose, tested controls, traceable evidence, and accountable release. It gives readers a measured path from initial idea to bounded pilot, limited operation, wider adoption, and eventual retirement. Each chapter closes with actions, review questions, and evidence outputs that turn reading into accountable work.

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