Deploy Python functions as authenticated MCP connectors with OAuth and isolated environments.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "enlace_connector" yet — see the docs or source repo.
Help me deploy a Python data query function as an MCP connector for Claude, with OAuth authentication enabled. Provide the project structure, deployment steps, and example configuration.
A code and configuration setup for publishing an authenticated MCP connector, including auth and deployment guidance.
I have a Python tool that depends on pandas, numpy, and specialized libraries. Design an MCP connector deployment plan using a separate venv to avoid polluting the main environment, and explain how to call it.
A connector deployment design with isolated virtual environments, including dependency separation, startup, and invocation examples.
Explain how to add pluggable OAuth to an internal Python MCP tool, support different MCP hosts, and list the key security considerations.
An OAuth integration plan and security checklist for safely connecting a team tool to multiple MCP hosts.
Securely search internal documents and company data through an authenticated MCP connector.
Connect AI to GitHub via OAuth for user-authorized repository actions.
Test MCP OAuth login and retrieve the authenticated user's identity and plan.
Deploy an authless remote MCP server for AI clients to use custom tools.
Deploy an authless remote MCP server on Cloudflare Workers for AI clients.
Deploy an authless remote MCP server on Cloudflare Workers for AI clients.