pulsemcp Safe content atomic mcp-remote

Hasura GraphQL

This advanced Hasura GraphQL MCP server enables AI agents to interact with Hasura GraphQL endpoints through a rich set of tools. It provides capabilities for schema introspection, executing read-only queries and mutations, listing tables and their structures, previewing data samples, performing aggregations, and checking service health. The implementation handles authentication via admin secrets, performs basic security checks on operations, and exposes the complete GraphQL schema as a resource, making it ideal for AI assistants that need to dynamically discover and leverage database structures based on natural language requests.

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: database
Source: PulseMCP
Repository: github.com/husamabusafa/hasura_mcp
Author type: human
Updated: 2026-05-18

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MCP

Resolve Hasura GraphQL 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"