pulsemcp verified Safe content atomic mcp-remote

Milvus

This MCP server provides comprehensive vector database operations through the Milvus API, enabling AI assistants to create collections with custom schemas, insert and query vector data, perform similarity searches, and manage database operations programmatically. Built by TaiLabs using Go with session management and middleware support, it offers 17 specialized tools including collection creation with flexible field definitions, vector similarity search with configurable metrics, data insertion with automatic type conversion, index management for performance optimization, and database administration capabilities. The implementation features robust session handling with automatic cleanup, type-safe data transformation between JSON and Milvus formats, authentication middleware, and detailed logging with performance monitoring, making it valuable for AI applications requiring vector storage and retrieval, semantic search implementations, recommendation systems, and building AI assistants that need programmatic access to Milvus vector databases without manual cluster management.

Cognium trust score
99%
Tier
Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
PulseMCP
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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MCP

Resolve Milvus 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
Swap --scope user for --scope project to commit it to .mcp.json.

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