MCPEz (Proxy Aggregator)
MCPEazy is a Python-based MCP server implementation that enables AI assistants to interact with multiple MCP-compatible services through a unified interface. It provides a proxy layer that can connect to both local command-line tools and remote services via SSE (Server-Sent Events), exposing their functionality as tools that can be discovered and called by AI assistants. The implementation includes a web UI for interaction, supports dynamic tool registration, and handles JSON-RPC communication between clients and underlying services. MCPEazy is particularly useful for developers who need to aggregate multiple tool providers into a single endpoint or want to create a custom gateway for AI assistants to access various services.
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
- other
- Source
- PulseMCP
- Repository
- github.com/veallym0n/mcpez
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve MCPEz (Proxy Aggregator) 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.