TigerGraph
The TigerGraph MCP server provides a bridge between AI assistants and TigerGraph graph databases, enabling direct interaction with graph data through a set of specialized tools. Built with Python 3.12, it wraps the pyTigerGraph library to expose common graph operations including vertex and edge manipulation, schema retrieval, and query execution. The implementation supports both predefined GSQL queries and raw query execution, with URI-based resource access for vertices and parameterized queries. This server is particularly useful for knowledge graph applications, network analysis, and data exploration workflows where graph relationships are central to understanding complex datasets.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/muzain187/tg_mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve TigerGraph 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.