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GraphSlice

Your AI assistant queries your architecture, not your files. A semantic code graph for C#, served over MCP.

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Overview

Turn your C# codebase into a semantic code graph and serve an LLM only the context it needs. Compiler-grade analysis. Delivered over MCP.

AI summary

GraphSlice aims to enhance AI-assisted development for C# codebases by converting them into a semantic code graph, allowing AI models to query the architecture directly rather than relying on file contents. This approach is designed to improve accuracy and reduce token usage during AI interactions.

Who Is It For

Best for

Organizations developing large C# applications, particularly in regulated or data-sensitive industries, that require high precision in AI-assisted development.

Not for

Small teams or projects that do not have extensive C# codebases or do not require advanced AI integration.

Strengths & Weaknesses

Biggest strength

GraphSlice's ability to provide compiler-grade semantic analysis of C# code, enabling precise context slices for AI queries without exposing the entire codebase.

Biggest weakness

Limited visibility into pricing and availability of free plans or trials, which may restrict access for potential users (AI-inferred; may be outdated – founders can correct this).

Classification

Likely competitors
SonarQubeReSharperCodacy

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How we sourced this: Observed fields () were crawled from https://graphslice.com/ and are stated as fact. AI-inferred fields () were generated by gpt-4o-mini and are always labelled – never presented as measured fact. Last updated: 16 August 2026. Is this your tool? Claim it to edit and get a do-follow badge.