codelogic-mcp-server
Leverage CodeLogic’s dependency data for AI-powered impact analysis.
Key Features
Use Cases
README
codelogic-mcp-server
An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.
Components
Tools
The server implements two tools:
- codelogic-method-impact: Pulls an impact assessment from the CodeLogic server's APIs for your code.
- Takes the given "method" that you're working on and its associated "class".
- codelogic-database-impact: Analyzes impacts between code and database entities.
- Takes the database entity type (column, table, or view) and its name.
Install
Pre Requisites
The MCP server relies upon Astral UV to run, please install
MacOS Workaround for uvx
There is a known issue with uvx on MacOS where the CodeLogic MCP server may fail to launch in certain IDEs (such as Cursor), resulting in errors like:
See issue #11
Failed to connect client closed
This appears to be a problem with Astral uvx running on MacOS. The following can be used as a workaround:
- Clone this project locally.
- Configure your
mcp.jsonto useuvinstead ofuvx. For example:
{
"mcpServers": {
"codelogic-mcp-server": {
"type": "stdio",
"command": "<PATH_TO_UV>/uv",
"args": [
"--directory",
"<PATH_TO_THIS_REPO>/codelogic-mcp-server-main",
"run",
"codelogic-mcp-server"
],
"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"
}
}
}
}
- Restart Cursor.
- Ensure the Cursor Global Rule for CodeLogic is in place.
- Open the MCP tab in Cursor and refresh the
codelogic-mcp-server. - Ask Cursor to make a code change in an existing class. The MCP server should now run the impact analysis successfully.
Configuration for Different IDEs
Visual Studio Code Configuration
To configure this MCP server in VS Code:
-
First, ensure you have GitHub Copilot agent mode enabled in VS Code.
-
Create a
.vscode/mcp.jsonfile in your workspace with the following configuration:
{
"servers": {
"codelogic-mcp-server": {
"type": "stdio",
"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"
}
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:
/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
-
Alternatively, you can run the
MCP: Add Servercommand from the Command Palette and provide the server information. -
To manage your MCP servers, use the
MCP: List Serverscommand from the Command Palette. -
Once configured, the server's tools will be available to Copilot agent mode. You can toggle specific tools on/off as needed by clicking the Tools button in the Chat view when in agent mode.
-
To use the Codelogic tools in agent mode, you can specifically ask about code impacts or database relationships, and the agent will utilize the appropriate tools.
Claude Desktop Configuration
Configure Claude Desktop by editing the configuration file:
- On MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json - On Windows:
%APPDATA%/Claude/claude_desktop_config.json - On Linux:
~/.config/Claude/claude_desktop_config.json
Add the following to your configuration file:
"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>"
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:
/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
After adding the configuration, restart Claude Desktop to apply the changes.
Windsurf IDE Configuration
To run this MCP server with Windsurf IDE:
Configure Windsurf IDE:
To configure Windsurf IDE, you need to create or modify the ~/.codeium/windsurf/mcp_config.json configuration file.
Add the following configuration to your file:
"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>"
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:
/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
After adding the configuration, restart Windsurf IDE or refresh the tools to apply the changes.
Cursor Configuration
To configure the CodeLogic MCP server in Cursor:
- Configure the MCP server by creating a
.cursor/mcp.jsonfile:
{
"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"
}
}
}
}
Note: On some systems, you may need to use the full path to the uvx executable instead of just "uvx". For example:
/home/user/.local/bin/uvxon Linux/Mac orC:\Users\username\AppData\Local\astral\uvx.exeon Windows.
- Restart Cursor to apply the changes.
The CodeLogic MCP server tools will now be available in your Cursor workspace.
AI Assistant Instructions/Rules
To help the AI assistant use the CodeLogic tools effectively, you can add the following instructions/rules to your client's configuration. We recommend customizing these instructions to align with your team's specific coding standards, best practices, and workflow requirements:
VS Code (GitHub Copilot) Instructions
Create a .vscode/copilot-instructions.md file with the following content:
# CodeLogic MCP Server Instructions
When modifying existing code methods:
- Use codelogic-method-impact to analyze code changes
- Use codelogic-database-impact for database modifications
- Highlight impact results for the modified methods
When modifying SQL code or database entities:
- Always use codelogic-database-impact to analyze potential impacts
- Highlight impact results for the modified database entities
To use the CodeLogic tools effectively:
- For code impacts: Ask about specific methods or functions
- For database relationships: Ask about tables, views, or columns
- Review the impact results before making changes
- Consider both direct and indirect impacts
Claude Desktop Instructions
Create a file ~/.claude/instructions.md with the following content:
# CodeLogic MCP Server Instructions
When modifying existing code methods:
- Use codelogic-method-impact to analyze code changes
- Use codelogic-database-impact for database modifications
- Highlight impact results for the modified methods
When modifying SQL code or database entities:
- Always use codelogic-database-impact to analyze potential impacts
- Highlight impact results for the modified database entities
To use the CodeLogic tools effectively:
- For code impacts: Ask about specific methods or functions
- For database relationships: Ask about tables, views, or columns
- Review the impact results before making changes
- Consider both direct and indirect impacts
Windsurf IDE Rules
Create or modify the ~/.codeium/windsurf/memories/global_rules.md markdown file with the following content:
When modifying existing code methods:
- Use codelogic-method-impact to analyze code changes
- Use codelogic-database-impact for database modifications
- Highlight impact results for the modified methods
When modifying SQL code or database entities:
- Always use codelogic-database-impact to analyze potential impacts
- Highlight impact results for the modified database entities
To use the CodeLogic tools effectively:
- For code impacts: Ask about specific methods or functions
- For database relationships: Ask about tables, views, or columns
- Review the impact results before making changes
- Consider both direct and indirect impacts
Cursor Global Rule
To configure CodeLogic rules in Cursor:
- Open Cursor Settings
- Navigate to the "Rules" section
- Add the following content to "User Rules":
# CodeLogic MCP Server Rules
## Codebase
- The CodeLogic MCP Server is for java, javascript, typescript, and C# dotnet codebases
- don't run the tools on python or other non supported codebases
## AI Assistant Behavior
- When modifying existing code methods:
- Use codelogic-method-impact to analyze code changes
- Use codelogic-database-impact for database modifications
- Highlight impact results for the modified methods
- When modifying SQL code or database entities:
- Always use codelogic-database-impact to analyze potential impacts
- Highlight impact results for the modified database entities
- To use the CodeLogic tools effectively:
- For code impacts: Ask about specific methods or functions
- For database relationships: Ask about tables, views, or columns
- Review the impact results before making changes
- Consider both direct and indirect impacts
Environment Variables
The following environment variables can be configured to customize the behavior of the server:
CODELOGIC_SERVER_HOST: The URL of the CodeLogic server.CODELOGIC_USERNAME: Your CodeLogic username.CODELOGIC_PASSWORD: Your CodeLogic password.CODELOGIC_WORKSPACE_NAME: The name of the workspace to use.CODELOGIC_DEBUG_MODE: Set totrueto enable debug mode. When enabled, additional debug files such astiming_log.txtandimpact_data*.jsonwill be generated. Defaults tofalse.
Example Configuration
"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"
}
Pinning the version
instead of using the latest version of the server, you can pin to a specific version by changing the args field to match the version in pypi e.g.
"args": [
"codelogic-mcp-server@0.2.2"
],
Version Compatibility
This MCP server has the following version compatibility requirements:
- Version 0.3.1 and below: Compatible with all CodeLogic API versions
- Version 0.4.0 and above: Requires CodeLogic API version 25.10.0 or greater
If you're upgrading, make sure your CodeLogic server meets the minimum API version requirement.
Debug Logging
When CODELOGIC_DEBUG_MODE=true, debug files are written to the system temporary directory:
- Windows:
%TEMP%\codelogic-mcp-server(typicallyC:\Users\{username}\AppData\Local\Temp\codelogic-mcp-server) - macOS:
/tmp/codelogic-mcp-server(or$TMPDIR/codelogic-mcp-serverif set) - Linux:
/tmp/codelogic-mcp-server(or$TMPDIR/codelogic-mcp-serverif set)
Debug files include:
timing_log.txt- Performance timing informationimpact_data_*.json- Raw impact analysis data for troubleshooting
Finding your log directory:
import tempfile
import os
print("Log directory:", os.path.join(tempfile.gettempdir(), "codelogic-mcp-server"))
Testing
Running Unit Tests
The project uses unittest for testing. You can run unit tests without any external dependencies:
python -m unittest discover -s test -p "unit_*.py"
Unit tests use mock data and don't require a connection to a CodeLogic server.
Integration Tests (Optional)
If you want to run integration tests that connect to a real CodeLogic server:
- Copy
test/.env.test.exampletotest/.env.testand populate with your CodeLogic server details - Run the integration tests:
python -m unittest discover -s test -p "integration_*.py"
Note: Integration tests require access to a CodeLogic server instance.
Validation for Official MCP Registry
mcp-name: io.github.CodeLogicIncEngineering/codelogic-mcp-server
Star History
Repository Owner
Organization
Repository Details
Programming Languages
Tags
Topics
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
MCP Language Server
Bridge codebase navigation tools to AI models using MCP-enabled language servers.
MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.
- ⭐ 1,256
- MCP
- isaacphi/mcp-language-server
Lucidity MCP
Intelligent prompt-based code quality analysis for AI coding assistants.
Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.
- ⭐ 72
- MCP
- hyperb1iss/lucidity-mcp
OpsLevel MCP Server
Read-only MCP server for integrating OpsLevel data with AI tools.
OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.
- ⭐ 8
- MCP
- OpsLevel/opslevel-mcp
Aibolit MCP Server
MCP server providing critical design feedback for Java code analysis.
Aibolit MCP Server acts as a bridge between AI code assistants and the Aibolit Java code analyzer, delivering assessments of the most critical design issues in a codebase. It integrates with agents such as Claude Code to help prioritize significant refactoring tasks over minor, cosmetic changes. The tool supports Node.js environments and leverages the Aibolit analysis engine to guide AI agents in making informed, impactful code improvements.
- ⭐ 20
- MCP
- cqfn/aibolit-mcp-server
Exa MCP Server
Fast, efficient web and code context for AI coding assistants.
Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.
- ⭐ 3,224
- MCP
- exa-labs/exa-mcp-server
MCP Claude Code
Claude Code-like functionality via the Model Context Protocol.
Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.
- ⭐ 281
- MCP
- SDGLBL/mcp-claude-code
Didn't find tool you were looking for?