PulseMCP
This MCP server, developed by orliesaurus, provides a standardized interface for querying and retrieving data from PulseMCP, a service that collects information about MCP servers and clients. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers capabilities for listing MCP servers and available integrations. The implementation focuses on efficient pagination and filtering of server data, enabling AI models to access up-to-date information about the MCP ecosystem. By connecting AI assistants with PulseMCP's aggregated data, this server allows for sophisticated scenarios like discovering relevant MCP implementations, analyzing integration trends, and automating the selection of appropriate MCP servers for specific tasks. It's particularly useful for applications and AI systems that need to dynamically interact with or recommend MCP services based on real-time ecosystem data.
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
- productivity
- Source
- PulseMCP
- Repository
- github.com/orliesaurus/pulsemcp-server
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve PulseMCP 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.