JExchange
JExchange MCP Server provides a lightweight, asynchronous server implementation for the Model Context Protocol (MCP). Built with Python 3.10, it leverages the MCP library with CLI support to enable AI assistants to interact with external services. The server uses modern Python features including asyncio for handling concurrent requests and includes GitHub workflows for automated testing, formatting, and publishing to PyPI. This implementation is designed for developers who need a simple, reliable foundation for building MCP-compatible services that can be easily deployed and maintained.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/juhemcp/jexchange-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve JExchange 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.