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Enable AI assistants to analyze, edit, search, and review software projects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "DevForge-MCP" yet — see the docs or source repo.
Analyze this project's overall architecture, explain each core module's responsibility, dependencies, main entry points, and key data flows.
A project structure overview, module explanations, dependency mapping, and code-reading guidance.
Find outdated API calls across all workspaces, replace them with the new interface, and review whether the changes may introduce compatibility issues.
Suggested code changes, a list of affected files, and a review summary with potential risks.
Using Git history and semantic search, identify recent commits related to the login failure and explain likely root causes and fix suggestions.
Relevant commit findings, issue analysis, affected code locations, and recommended fixes.
Let LLMs securely use local development tools via MCP.
Connect DevRev workflows to search objects, manage work, and explore hierarchies.
Gives coding assistants repo status, commit, test, and lint checks.
Give AI full visibility into your local development environment for faster troubleshooting.
Connect AI to Azure DevOps to manage projects, repos, work items, and pipelines.
Gives AI assistants developer tools for files, Git, code analysis, and system tasks.