pulsemcp verified Safe content atomic mcp-remote

Quantalogic Markdown Editor

The Quantalogic Markdown MCP server provides safe, structured editing capabilities for Markdown documents through a comprehensive set of tools built on top of markdown-it-py. It exposes operations like inserting, updating, deleting, and moving sections while maintaining document integrity through validation levels and transaction history with rollback support. The server includes stateless document processing, section-based editing with stable ID generation, and advanced features like batch operations and document analysis, making it particularly useful for AI agents that need to programmatically edit documentation, generate structured content, or maintain large Markdown codebases without corrupting document structure.

Cognium trust score

86%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/quantalogic/quantalogic_markdown_mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Quantalogic Markdown Editor 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"