pulsemcp verified Safe content atomic mcp-remote

Software Documentation Analysis

This MCP server for evaluating README structure, developed by an unnamed author, integrates with the Model Context Protocol to provide AI assistants with tools for analyzing and improving documentation. Built with TypeScript and leveraging libraries like Cheerio and Marked, it offers capabilities for parsing Markdown, extracting key sections, and assessing overall document structure. The server abstracts the complexities of README analysis, allowing AI systems to easily incorporate documentation evaluation into their workflows. It's particularly useful for developers, technical writers, and AI assistants focused on improving software documentation, enabling use cases like automated README quality checks, content organization suggestions, and standardization of project documentation across repositories.

Cognium trust score

90%

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Repository: github.com/sunwood-ai-labs/documind-mcp-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

View source Find related skills

MCP

Resolve Software Documentation Analysis 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"