Claude Context
Claude Context MCP server by Zilliz provides AI assistants with semantic code search and indexing capabilities using vector embeddings and AST-based code splitting. The implementation integrates with multiple embedding providers (OpenAI, VoyageAI, Gemini, Ollama) and vector databases (Zilliz Cloud, local Milvus) to create searchable code indexes that enable natural language queries across codebases, with automatic file filtering based on extensions and ignore patterns. Built with TypeScript and supporting both VSCode extension and standalone MCP modes, it includes comprehensive evaluation framework showing 39% token usage reduction compared to grep-only approaches while maintaining equivalent retrieval quality, making it valuable for developers working with large codebases who need efficient semantic code discovery and AI-assisted code understanding workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/zilliztech/claude-context
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Claude Context from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.