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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.
Expose your app functions to AI agents like Claude with minimal setup.
Secure MCP server enabling OAuth 2.1 and PKCE for remote LLM connections
Let ChatGPT reference large local files, jobs, and resources by path.
Connect Claude to logged-in accounts for cross-platform messaging and workflow automation.
Securely search internal documents and company data through an authenticated MCP connector.
Render interactive widgets inline across AI apps through a custom MCP connector.