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 apollographql · MCP Server · ★ 311
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is apollo-mcp-server safe to install? View the security audit →
Apollo MCP Server Apollo MCP Server is a Model Context Protocol server that exposes GraphQL operations as MCP tools. It provides a standard way for AI models to access and orchestrate your APIs running with Apollo. Documentation See the documentation for full details. This README shows the basics of getting this MCP server running. More details are available on the documentation site. I
| Stars | 311 |
| Forks | 76 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.0357570171753/100 |
| Open Issues | 23 |
| Last Updated | 2026-10-03 |
| Created | 2025-04-02 |
| Platforms | mcp, rust |
| Est. Tokens | ~22k |
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apollo-mcp-server is Apollo MCP Server. It is categorized as a MCP Server with 311 GitHub stars.
apollo-mcp-server is primarily written in Rust. It covers topics such as graphql, mcp.
You can find installation instructions and usage details in the apollo-mcp-server GitHub repository at github.com/apollographql/apollo-mcp-server. The project has 311 stars and 76 forks, indicating an active community.
apollo-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to apollo-mcp-server on Agent Skills Hub include data-api-builder, grafbase, comunica. 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: