
Dependency Updater Ai Mcp
Wire your agent to dependency-updater automation over MCP so version bumps and refresh plans stay consistent across repos.
Overview
Dependency-updater-ai-mcp is a MCP server for the Operate phase that exposes dependency-updater automation to agents via stdio from MEOK AI Labs.
What is this MCP server?
- dependency-updater-ai-mcp from MEOK AI Labs as stdio MCP (PyPI v1.0.4)
- GitHub source at CSOAI-ORG/dependency-updater-ai-mcp for tracking changes
- Agent-oriented updater server for maintenance sessions in Claude Code or Cursor
- Pairs with security review when patching transitive vulnerabilities
- Stdio Python package suitable for local dev machines and CI-adjacent agent setups
- Version 1.0.4 published with stdio transport
- Repository URL https://github.com/CSOAI-ORG/dependency-updater-ai-mcp
- PyPI identifier dependency-updater-ai-mcp on MCP schema 2025-12-11
What problem does it solve?
Indie maintainers let dependencies drift until a CVE or break forces a painful, context-free upgrade weekend.
Who is it for?
Solo devs running periodic dependency sweeps with an AI pair programmer and local test scripts.
Skip if: Teams with fully automated Renovate or Dependabot policies who never want agent-mediated package changes.
What do I get? / Deliverables
After install, your agent can drive updater-oriented MCP tools during iterate sessions so bump plans and applied changes stay traceable in one thread.
- Agent-guided dependency update actions or plans grounded in MCP tool output
- Refreshed manifest or lockfile states after approved updater runs
- Session log of which packages were considered for upgrade
Recommended MCP Servers
Journey fit
How it compares
MCP bridge for agent-led updates, not a hosted dependency dashboard SaaS.
Common Questions / FAQ
Who is dependency-updater-ai-mcp for?
Maintainers using MCP coding agents who want centralized dependency-updater tooling instead of one-off package manager prompts.
When should I use dependency-updater-ai-mcp?
Use it during operate and iterate when auditing outdated packages, preparing security patches, or refreshing lockfiles before a release.
How do I add dependency-updater-ai-mcp to my agent?
Install dependency-updater-ai-mcp from PyPI, add the stdio MCP server configuration, restart your agent, and run a dry-run update flow on a test branch first.