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Index local code into a graph database to give AI assistants deep, queryable code context.
Search, analyze, and manage Elasticsearch & OpenSearch clusters through MCP tools.
JetBrains IDE plugin exposing an MCP server so AI agents can use the IDE's indexing and refactoring.
Manage and search Meilisearch from any MCP client: indices, documents, settings, keys, and multi-index search.
Context compaction for AI coders: token-efficient, AST-level code intelligence across 17+ languages.
Persistent code index + memory, semantic search & live telemetry for AI coding agents — 50x less context than grep.
Turn any source code repo into a searchable, AI-queryable knowledge base inside Claude or Cursor.
Query and manage Algolia search indices from an agent: search, settings, analytics, A/B tests, and Recommend.