Context Engine MCP
A semantic code intelligence layer that plugs into any MCP-compatible AI coding agent to boost code quality by up to 80%.
Context Engine MCP exposes Augment's proprietary semantic indexing and deep codebase understanding to any AI coding tool through the Model Context Protocol. It provides intelligent code search that understands meaning rather than just text, indexing how files connect across repositories, services, and architectures while incorporating commit history and codebase patterns. The product operates in Local mode for active development and Remote mode for cross-repo context. Benchmark testing on 300 Elasticsearch PRs showed quality improvements of up to 80% for Claude Code and 71% for Cursor when paired with the Context Engine.
Use cases
Enhancing existing AI coding tools with deep codebase context
Reducing token consumption and improving output quality
Enabling cross-repository semantic code search
Providing consistent understanding across heterogeneous AI tool environments
Integrations
Claude Code
Cursor
Zed
Kilo Code
Roo Code
GitHub
GitLab
Bitbucket
CI/CD pipelines
Expected outcomes
2x faster task completion through instant contextual retrieval
Up to 80% quality improvement in AI-generated code
Reduced token consumption
Reviews
GCC buyer feedback
Reviews are written by GCC buyers and published after moderation.
No reviews yet
Buyer reviews will appear here once published.
Company
Augment Code
Palo Alto, CA, USA
Founded 2022
Primary Verticals
Financial Services (BFSI)Healthcare & Life SciencesManufacturingRetail & E-commerceTelecom & Media
Functions
Engineering & DevOps
Industries
Financial Services (BFSI)Healthcare & Life SciencesManufacturingRetail & E-commerceTelecom & Media
9
Integrations
4
Use cases
Is this your company? Claim & customize your profile
This profile was created using publicly available information.