No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by IBM · MCP Server · ★ 401
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp safe to install? View the security audit →
IBM MCP A collection of Model Context Protocol (MCP) servers, MCP Clients and Developer Tools by IBM. Connect your IBM products to any AI Agent or AI application. What is MCP? MCP is an open-source protocol designed to enable AI models to securely interact with local and remote resources through standardized server implementations. This collection of IBM MCP services focuses on both production-ready and experimental MCP servers that enhance AI capabilities by providing file access, database connections, API integrations, and additional contextual services. Available MCP Servers ⚙️ Automation 💼 Business Automation The IBM® Business Automation Workflow MCP Server is a local Model Control Protocol (MCP) server that supports integration of AI agents with IBM® Business Automation Workflow through the Model Contex
| Stars | 401 |
| Forks | 92 |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 56.8735490291558/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-02 |
| Created | 2025-04-02 |
| Platforms | cli, mcp |
| Est. Tokens | ~13k |
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mcp is A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.. It is categorized as a MCP Server with 401 GitHub stars.
You can find installation instructions and usage details in the mcp GitHub repository at github.com/IBM/mcp. The project has 401 stars and 92 forks, indicating an active community.
mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp on Agent Skills Hub include atlas-mcp-server, py-gpt, npcpy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: