pulsemcp scanned Safe content atomic mcp-remote

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.

Cognium trust score
64%
Tier
Scanned

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
Author type
human
Last scanned
2026-09-02
Updated
2026-09-02
View source Find related skills

Use via MCP

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

Search SkillsRegistry