DeepContext (Semantic Code Search)
by wildcard-official · File Systems · mcp-server, npm
Symbol-aware semantic search for large codebases
DeepContext provides symbol-aware semantic search for large codebases through AST-based parsing and hybrid vector search, enabling AI assistants to find relevant code chunks by meaning rather than text patterns. Built by Wildcard AI with TypeScript support for Tree-sitter parsing, it combines Jina embeddings for semantic similarity with BM25 full-text search and reranking, while offering both hosted API access and self-hosted deployment with Turbopuffer vector storage. The implementation features incremental indexing with content filtering to exclude test files and generated code, background processing for large codebases, and rate-limited API proxy services, making it valuable for coding agents working with enterprise codebases where traditional grep-based search fails to capture semantic relationships across files.
Source: https://github.com/wildcard-official/deepcontext-mcp
Install
npx -y @wildcard-ai/deepcontextTags: mcp-server, npm
⭐ 273 GitHub stars · Source: pulsemcp
About File Systems MCP servers and Claude skills
File Systems MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
DeepContext (Semantic Code Search) is one of hundreds of File Systems entries indexed on Skiln. Browse the full File Systems category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install DeepContext (Semantic Code Search)?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support DeepContext (Semantic Code Search)?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is DeepContext (Semantic Code Search) free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.