Add a Milvus vector database connection to an endpoint context, enabling access to vectors via ctx.MILVUS.
Apache 2.0
650,521 tools. Updated 2026-10-14 00:42
"Milvus" matching MCP tools:
- Integrate a Milvus vector database into an endpoint's context, enabling vector search operations through ctx.MILVUS.Apache 2.0
- Index Markdown files into a Milvus vector store to enable semantic search and retrieval. Prepares local documents for RAG-based queries.Apache 2.0
- Retrieve the architectural manual for Milvus vector indexing, memory management, and forensic audit logs.MIT
- Search for audit regulations by name, returning exact matches from MySQL and supplementing with vector similarity matches from Milvus.-
- Parse, chunk, embed, and store a code file in vectors and entities to enable GraphRAG search. Returns a job_id for tracking; set force=true to re-index unchanged files.MIT
Matching MCP Servers
- AlicenseNot gradedqualityAmaintenanceMCP server for Milvus vector database enabling vector search, text search, and hybrid search operations.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceProvides MCP tools to interact with Milvus vector database, enabling vector search, text search, hybrid search, and collection management.325 PyPI1Apache 2.0
- Find code by meaning, not just exact strings. Search across indexed repositories to understand flows, plan changes, and locate implementations by behavior.MIT
- Search across structurally related code files when initial results hint the answer spans multiple components, returning ranked chunks in a single query.MIT
- Remove an indexed source by deleting its chunks and graph entities, keeping entities shared with other sources.MIT
- Retrieve all collection names from a specified database in Zilliz Cloud or Milvus to manage and organize vector data collections for AI applications.Apache 2.0
- Adds data objects to a Milvus vector database collection, matching schema fields for storage and retrieval.Apache 2.0
- Create vector collections in Milvus or Zilliz Cloud by specifying cluster details, dimensions, and metric types to organize data for similarity searches.Apache 2.0
- Remove entities from a Milvus vector database collection using filtering conditions or primary keys to manage data efficiently.Apache 2.0
- Filter and retrieve data from a Milvus vector database collection using boolean expressions to find specific records based on defined criteria.Apache 2.0
- Retrieve integration documentation for databases, vector stores, and models. Specify the integration type and optional name to get targeted guides.MIT
- Answer research questions by retrieving cited verbatim answers from academic paper collections, with optional filtering by year, venue, or authors.MIT
- Get architectural blueprints and runnable code examples for every Wmilvus feature to build production-ready Milvus vector database applications.MIT
- Validate Pydantic model code for WMilvus vector storage compatibility to catch schema issues before Milvus code generation.MIT
- Search a catalog of production-ready WMilvus architectural patterns for Milvus vector database applications.MIT
- Generate MCP client JSON configuration snippets for Claude, Antigravity, or Cursor to connect to the wmilvus-mcp server.MIT
- Scaffolds a professional WMilvus vector application project structure, creating directories and starter files for Milvus app development.MIT