pulsemcp Safe content atomic mcp-remote

Google Forms

Google Forms MCP Server enables AI assistants to create and manage Google Forms through natural language requests. Built with Python and Flask, it features a two-tier architecture with an MCP server handling Google Forms API operations and a CamelAIOrg agent layer that processes natural language into structured form creation commands. The implementation includes real-time visualization of the request flow, comprehensive error handling, and support for various question types. It's particularly useful for automating form creation workflows, enabling quick generation of surveys, feedback forms, and event registrations without requiring direct interaction with the Google Forms interface.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/adarshp14/google-form-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Google Forms 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"