codelogic-mcp-server
@CodeLogicIncEngineering
About codelogic-mcp-server
An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"codelogic-mcp-server": {
"command": "uvx",
"args": [
"codelogic-mcp-server@latest"
],
"env": {
"CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
"CODELOGIC_USERNAME": "<my username>",
"CODELOGIC_PASSWORD": "<my password>",
"CODELOGIC_WORKSPACE_NAME": "<my workspace>",
"CODELOGIC_DEBUG_MODE": "true"
}
}
}
}Tools
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Overview
What is codelogic-mcp-server?
An MCP server that gives AI programming assistants access to Codelogic’s rich software dependency data. It provides tools for code and database impact analysis, graph-based dependency discovery, and CI/CD pipeline integration, intended for developers using AI coding agents.
How to use codelogic-mcp-server?
Install the Astral UV runtime, then configure environment variables (CODELOGIC_SERVER_HOST, CODELOGIC_USERNAME, CODELOGIC_PASSWORD, CODELOGIC_WORKSPACE_NAME) and add the server to your IDE’s MCP configuration using uvx codelogic-mcp-server@latest (or uv run as a MacOS workaround). Detailed JSON examples are provided for VS Code, Cursor, Claude Desktop, and Windsurf.
Key features of codelogic-mcp-server
- Method-level impact analysis
- Database entity impact analysis (columns, tables, views)
- Graph API for dependency search and traversal
- Shortest-path explanation between code nodes
- Change scope validation with risk summary
- Node owner resolution
- Docker agent configuration for CI/CD pipelines
- CI/CD build info and metadata collection
- End-to-end pipeline configuration generation
- Supports .NET, Java, SQL, and TypeScript agents
Use cases of codelogic-mcp-server
- Assess impact of a code change before committing
- Analyze database schema changes on downstream dependencies
- Discover dependency relationships via graph queries
- Generate CI/CD pipeline configs with CodeLogic scanning
- Retrieve ownership information for code nodes
FAQ from codelogic-mcp-server
What runtime does the server require?
Astral UV must be installed. The server is launched via uvx or uv run.
Is there a MacOS workaround for launching the server?
Yes. On MacOS, uvx may fail in some IDEs; use uv with the --directory flag and local clone as shown in the README.
How do I configure the server for different IDEs?
Configuration files differ per IDE (e.g., .vscode/mcp.json for VS Code, .cursor/mcp.json for Cursor). The README includes full JSON examples for VS Code, Cursor, Claude Desktop, and Windsurf.
What happens if the graph API is not available on my CodeLogic host?
If graph routes return HTTP 404, the server returns a clear “graph not available” message. The README advises falling back to method impact or database impact tools.
How are tool arguments named?
MCP schemas accept snake_case aliases (e.g., materialized_view_id), but the underlying CodeLogic API uses camelCase JSON keys.
Frequently asked questions
What runtime does the server require?
Astral UV must be installed. The server is launched via `uvx` or `uv run`.
Is there a MacOS workaround for launching the server?
Yes. On MacOS, `uvx` may fail in some IDEs; use `uv` with the `--directory` flag and local clone as shown in the README.
How do I configure the server for different IDEs?
Configuration files differ per IDE (e.g., `.vscode/mcp.json` for VS Code, `.cursor/mcp.json` for Cursor). The README includes full JSON examples for VS Code, Cursor, Claude Desktop, and Windsurf.
What happens if the graph API is not available on my CodeLogic host?
If graph routes return HTTP 404, the server returns a clear “graph not available” message. The README advises falling back to method impact or database impact tools.
How are tool arguments named?
MCP schemas accept snake_case aliases (e.g., `materialized_view_id`), but the underlying CodeLogic API uses camelCase JSON keys.
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