GraphQL Explorer
This MCP server implementation provides a GraphQL client interface for AI assistants. It offers tools for setting up connections to GraphQL endpoints, executing queries, and retrieving schema information. Built using Python and leveraging libraries like gql and httpx, the server focuses on secure authentication handling and efficient query execution. It is particularly useful for AI applications that need to interact with GraphQL APIs, enabling data retrieval and exploration across various domains. The implementation includes features like connection setup, query execution, schema retrieval, and type information lookup, making it versatile for integrating GraphQL data sources into AI workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- security
- Source
- PulseMCP
- Repository
- github.com/larshvidsten/mcp_af_graph
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve GraphQL Explorer 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--scope user for --scope project to commit it to .mcp.json.