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 Wildcard-Official · MCP Server · ★ 275
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is deepcontext-mcp safe to install? View the security audit →
Smarter Context for Large Codebases DeepContext is an MCP server that adds symbol-aware semantic search to Codex CLI, Claude Code, and other agents, giving them more precise context of even the largest codebases. Currently supports Typescript and Python. Quickstart Visit the Wildcard DeepContext page Click "Generate API Key" Copy your API key Paste installation command for your MCP client Type to index the current directory Claude Code: bash claude mcp add deepcontext
| Stars | 275 |
| Forks | 25 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72.5535539096947/100 |
| Open Issues | 5 |
| Last Updated | 2025-09-22 |
| Created | 2025-09-04 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~46k |
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deepcontext-mcp is DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agents for faster, smarter context on large codebases.. It is categorized as a MCP Server with 275 GitHub stars.
deepcontext-mcp is primarily written in TypeScript. It covers topics such as ai, ai-agents, claude.
You can find installation instructions and usage details in the deepcontext-mcp GitHub repository at github.com/Wildcard-Official/deepcontext-mcp. The project has 275 stars and 25 forks, indicating an active community.
deepcontext-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 deepcontext-mcp on Agent Skills Hub include claude-historian-mcp, claude-emporium, atlassian-mcp-server. 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: