codelogic-mcp-serverAn MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

The Codelogic MCP Server is a tool that enables the utilization of Codelogic's rich software dependency data in AI programming assistants. It implements eleven tools, including five original tools and six graph tools backed by the CodeLogic graph HTTP API. These tools cover various aspects such as code analysis, DevOps, and CI/CD integration, and graph functionality. The server relies on Astral UV to run and supports various programming languages and environments, including .NET, Java, SQL, and TypeScript. The tool arguments accept snake_case aliases and the request bodies sent to CodeLogic use camelCase JSON keys.

Key features

Code analysis tools (codelogic-method-impact, codelogic-database-impact)
DevOps & CI/CD integration tools (codelogic-docker-agent, codelogic-build-info, codelogic-pipeline-helper)
Graph API tools (codelogic-graph-capabilities, codelogic-graph-search, codelogic-graph-impact, codelogic-graph-path-explain, codelogic-graph-validate-change-scope, codelogic-graph-owners)

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Code Analysis

Use the codelogic-mcp-server to analyze code impacts and database entity relationships, facilitating informed development decisions.

CI/CD Integration

Leverage the server's DevOps tools to generate Docker agent configurations, build information, and pipeline configurations for seamless CodeLogic integration in CI/CD pipelines.

Pros & Cons

Pros

Provides a range of tools for code analysis and DevOps integration
Supports utilization of Codelogic's rich software dependency data
Offers graph API tools for advanced operations

Cons

Requires Astral UV to run
Known issues with uvx on MacOS in certain IDEs

Reviews

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Q&A

Do the MCP Server tool arguments require a specific naming convention for parameters?

Yes, tool arguments accept snake_case aliases (e.g., materialized_view_id, seed_node_ids), while the JSON payloads sent to CodeLogic must use camelCase keys, ensuring compatibility with the backend API.

Asked by Farah Rahimi · Feb 28, 2026

How do the graph API tools communicate with the CodeLogic backend and what happens if the graph routes are missing?

Graph tools call the CodeLogic graph HTTP API under /codelogic/server/ai-retrieval/graph/ on the same host as CODELOGIC_SERVER_HOST, using the same session authentication. If the graph endpoints are not deployed, the server returns a clear “graph not available” message, typically after an HTTP 404.

Asked by Tariq Aziz · Jan 11, 2026

Which programming languages and environments are supported by the MCP Server tools?

The server supports a range of languages and environments, including .NET, Java, SQL, and TypeScript, allowing its code analysis and DevOps tools to be used across these stacks.

Asked by Wanjiru Kamau · Dec 9, 2025

What runtime does the Codelogic MCP Server require and are there any OS-specific issues?

The server runs on Astral UV, which must be installed beforehand. It works on multiple platforms, but users have reported known issues with uvx on macOS when used inside certain IDEs.

Asked by Dalia Haddad · Nov 15, 2025