startmcp
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Overview
A unified gateway server for connecting multiple AI assistants to various backend data sources and tools, standardizing integration through the Model Context Protocol (MCP).
Installation
mcp serve --stdioEnvironment Variables
- GITHUB_TOKEN
- FIRECRAWL_API_KEY
- ATLASSIAN_DEFAULT_PROJECT
- MCP_LOG_LEVEL
- MCP_LOG_FORMAT
Security Notes
The project emphasizes security best practices like using PKCE for OAuth, `.env` for credentials, and TLS 1.2+ for network communication. Subprocess execution (`stdio` transport) is done via `asyncio.create_subprocess_exec` with a list of arguments, which is safer than shell commands, reducing command injection risks. However, the Atlassian provider's reliance on `npx -y mcp-remote` introduces a supply chain risk, as `npx -y` automatically installs packages, meaning trust is placed on the external `mcp-remote` package and its dependencies. Overall, the architectural principles for security are strong.
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