pulsemcp Safe content atomic mcp-remote

Bevy Docs Search

Processes Bevy game engine documentation from docs.rs, converting HTML to Markdown and embedding content into a Milvus vector database. Provides semantic search capabilities through MCP, enabling AI assistants to retrieve relevant documentation sections based on meaning rather than keyword matching. Designed for integration with AI coding assistants to provide accurate, context-aware access to Bevy framework documentation.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
PulseMCP
Author type
human
Updated
2026-04-25
View source Find related skills

Use via MCP

MCP

Resolve Bevy Docs Search 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.

Search SkillsRegistry