pulsemcp Safe content atomic mcp-remote

Mermaid

Mermaid MCP Server provides a bridge between AI assistants and mermaid.js for generating diagrams and visualizations through natural language. Built with Python using FastMCP, it exposes tools for generating mermaid diagrams securely while maintaining full compliance with the MCP 1.0 specification. The implementation is optimized for performance and scalability, making it valuable for users who need to create flowcharts, sequence diagrams, and other visualizations directly through their AI assistant conversations.

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: other
Source: PulseMCP
Repository: github.com/longjianjiang/mermaid-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Mermaid 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"