SKU: 25887881862

2018-2019 Mercedes-Benz GLC 200 4MATIC Coupe SUV 19 Model M274.920 135 9A/MT Fuel Pump Control Module A0009002414

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Description

2018-2019 Mercedes-Benz GLC 200 4MATIC Coupe SUV 19 Model M274.920 135 9A/MT Fuel Pump Control Module A0009002414Fuel Pump Control Module for Mercedes Benz C W205 A0009002414 Feature: Perfect match for the original car. High quality components and materials. Stable characteristics, high reliability. Aftermarket Products with Premium Quality. Designed to meet or exceed OE specifications in form, fit and function. Specifications: Condition: New Manufacturer Part Number: A0009002414 Fitment: Fits For Mercedes Benz: E class Hatchback version (W213) 2017 Model year

Fuel Pump Control Module for Mercedes-Benz C W205 A0009002414

Feature:
Perfect match for the original car.
High quality components and materials. Stable characteristics, high reliability.
Aftermarket Products with Premium Quality. Designed to meet or exceed OE specifications in form, fit and function.

Specifications:
Condition: New
Manufacturer Part Number: A0009002414

Fitment:
Fits For Mercedes-Benz:
E-class Hatchback version (W213) 2017-
Model year Engine power transmission
E 200 Sport 19 2018-2019 M274.920 135 9A/MT
E 200 Sport 4MATIC 19 2018-2019 M274.920 135 9A/MT
E-class Sports Car Version (C238) 2017-
Model year Engine power transmission
E 200 4MATIC Coupe 17 model 2017-2017 M274.920 135 9A/MT
E 200 4MATIC Coupe 18 model 2017-2018 M274.920 135 9A/MT
E 200 4MATIC Coupe 19 model 2018-2019 M274.920 135 9A/MT
E 200 Coupe 17 model 2017-2017 M274.920 135 9A/MT
E 200 Coupe 18 model 2017-2018 M274.920 135 9A/MT
E 200 Coupe 19 model 2018-2019 M274.920 135 9A/MT
E 300 Coupe 17 model 2017-2017 M274.920 180 9A/MT
E 300 Coupe 18 model 2018-2018 M274.920 180 9A/MT
GLC (C253) 2016-
Model year Engine power transmission
GLC 200 4MATIC Coupe SUV 17 2016-2017 M274.920 135 9A/MT
GLC 200 4MATIC Coupe SUV 18 2017-2018 M274.920 135 9A/MT
GLC 200 4MATIC Coupe SUV 19 Model 2018-2019 M274.920 135 9A/MT
GLC 260 4MATIC Coupe SUV 17 models 2016-2017 M274.920 155 9A/MT
GLC 260 4MATIC Coupe SUV 18 models 2017-2018 M274.920 155 9A/MT
GLC 260 4MATIC Coupe SUV 19 model 2018-2019 M274.920 155 9A/MT
GLC 300 4MATIC Coupe SUV 17 models 2016-2017 M274.920 180 9A/MT
GLC 300 4MATIC Coupe SUV 18 2017-2018 M274.920 180 9A/MT
GLC 300 4MATIC Coupe SUV 19 Model 2018-2019 M274.920 180 9A/MT
Class S (C217) 2014-2019
Model year Engine power transmission
S 400 4MATIC Coupe Edition 16 models 2015-2016 M276.824 270 7A/MT
S 400 4MATIC Coupe Edition 17 models 2016-2017 M276.824 270 7A/MT
S 450 4MATIC Coupe Edition 18 models 2017-2019 M276.824 270 9A/MT
S 500 4MATIC Coupe Edition 15 models 2014-2015 M278.910 310 7A/MT
S 500 4MATIC Coupe Edition 16 models 2015-2016 M278.910 310 7A/MT
S 500 4MATIC Coupe Edition 17 models 2016-2017 M278.910 310 7A/MT
S 63 AMG 4MATIC Coupe 15 model 2015-2016 M157.985 430 7A/MT
S-class (W222) 2013-2020
Model year Engine power transmission
AMG S 65 L 4MATIC 15 model 2014-2016 M279.980 463 7A/MT
AMG S 65 L 4MATIC 16 model 2017-2018 M279.980 463 7A/MT
S 320 L 18 models 2017-2018 M276.824 200 9A/MT
S 320 L Business model 14 2014-2015 M276.824 200 7A/MT
S 320 L Business model 16 2015-2016 M276.824 200 7A/MT
S 320 L Business model 17 models 2016-2016 M276.824 200 7A/MT
S 320 L Business upgrade 17 models 2016-2017 M276.824 200 7A/MT
S 320 L Luxury Model 14 models 2014-2015 M276.824 200 7A/MT
S 320 L Luxury 16 models 2015-2016 M276.824 200 7A/MT
S 320 L Luxury 17 models 2016-2017 M276.824 200 7A/MT
S 350 L 18 models 2017-2018 M276.824 230 9A/MT
S 350 L Premium Model 19 2018-2019 M276.824 230 9A/MT
S 350 L Premium Reserve Edition 19 models 2019-2020 M276.824 230 9A/MT
S 350 L Luxury Model 19 2018-2019 M276.824 230 9A/MT
S 350 L Luxury Reserve Edition 19 models 2019-2020 M276.824 230 9A/MT
S 400 L 15 models 2015-2015 M276.824 245 7A/MT
S 400 L 16 models 2016-2016 M276.824 245 7A/MT
S 400 L 17 models 2016-2017 M276.824 245 7A/MT
S 400 L 4MATIC 15 model 2014-2015 M276.824 245 7A/MT
S 400 L 4MATIC 16 models 2016-2016 M276.824 245 7A/MT
S 400 L 4MATIC 17 model 2016-2017 M276.824 245 7A/MT
S 400 L HYBRID 14 2013-2014 M276.960 225 7A/MT
S 400 L Premium Model 14 2013-2014 M276.824 245 7A/MT
S 400 L Luxury Model 14 2013-2014 M276.824 245 7A/MT
S 450 L 18 models 2017-2018 M276.824 270 9A/MT
S 450 L 19 models 2018-2019 M276.824 270 9A/MT
S 450 L 4MATIC 18 model 2017-2018 M276.824 270 9A/MT
S 450 L 4MATIC 19 Model 2018-2019 M276.824 270 9A/MT
S 450 L 4MATIC Exceptional Special Edition 18 models 2017-2018 M276.824 270 9A/MT
S 500 eL 16 models 2015-2016 M276.824 245 7A/MT
S 500 eL 17 model 2016-2017 M276.824 245 7A/MT
S 500 L 14 models 2013-2014 M278.929 320 7A/MT
S 500 L 4MATIC 14 model 2013-2014 M278.929 320 7A/MT
S 500 L 4MATIC 15 model 2014-2015 M278.910 310 7A/MT
S 500 L 4MATIC 16 models 2016-2016 M278.910 310 7A/MT
S 500 L 4MATIC 17 model 2016-2017 M278.910 310 7A/MT
S 600 L 14 model 2014-2014 M277.980 390 7A/MT
S 63 L AMG 4MATIC 14 2013-2014 M157.985 430 7A/MT
S 63 L AMG 4MATIC 15 2014-2015 M157.985 430 7A/MT
S 63 L AMG 4MATIC 16 model 2016-2017 M157.985 430 7A/MT
Maybach S-Class (X222) 2014-2020
Model year Engine power transmission
S 400 4MATIC 15 model 2014-2015 M276.824 245 7A/MT
S 400 4MATIC 16 2015-2016 M276.824 245 7A/MT
S 400 4MATIC 17 model 2016-2017 M276.824 245 7A/MT
S 450 4MATIC 18 2017-2018 M276.824 270 9A/MT
S 450 4MATIC 19 Model 2018-2019 M276.824 270 9A/MT
S 450 4MATIC 20 models 2019-2020 M276.824 270 9A/MT
S 500 4MATIC 15 model 2015-2016 M278.910 310 9A/MT
S 500 4MATIC 17 Model 2016-2017 M278.910 310 9A/MT
S 560 4MATIC 18 2017-2018 M176.980 345 9A/MT
S 560 4MATIC 19 Model 2018-2019 M176.980 345 9A/MT
S 600 15 models 2015-2016 M277.980 390 7A/MT
S 600 17 models 2016-2017 M277.980 390 7A/MT
S 680 18 models 2017-2018 M279.980 463 7A/MT
S 680 19 Model 2018-2019 M279.980 463 7A/MT
S 680 20 models 2019-2020 M279.980 463 7A/MT
S 680 Double Tone Collection Edition 19 models 2018-2018 M279.980 463 7A/MT

Package included:
1x Fuel Pump Control Unit Module

Note:
1.Please check the description or use the year/make/model check finder and replace part numbers-confirm the compatibility before purchasing.
2.Professional installation is recommended.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
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Shipping Notes
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  • We offer a 30-day return/exchange service after receiving.
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SKU: 25887881862

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4.7 ★★★★★
Based on 7 reviews
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Product Reviews
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WU.
Chelsea, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Dallas, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Draper, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
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Reviewed in the United States on May 20, 2026
C
Christopher West
Bozeman, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
Charlottesville, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026

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