AntV Visualization Libraries
This MCP server provides AI assistants with access to AntV's visualization ecosystem through intelligent documentation retrieval and context-aware assistance for g2, g6, l7, x6, f2, and s2 libraries. Built by the AntV team using TypeScript with Zod validation and the Context7 API, it features two complementary tools: extract_antv_topic for preprocessing user queries to identify relevant libraries and extract technical topics, and query_antv_document for fetching official documentation, code examples, and best practices with support for complex task decomposition into subtasks. The implementation enforces mandatory tool usage for any AntV-related query regardless of complexity, includes comprehensive error handling and logging, and integrates with Context7's documentation service to provide up-to-date technical guidance, making it valuable for developers building data visualizations, troubleshooting AntV implementations, and learning visualization best practices through AI-assisted 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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/antvis/mcp-server-antv
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve AntV Visualization Libraries 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.