pulsemcp scanned Safe content atomic mcp-remote

Eunomia

This Eunomia MCP server, developed by the WhataboutYou AI team, provides a Python-based implementation of the Model Context Protocol. Built using Pydantic and leveraging the MCP package, it offers a streamlined approach to integrating AI models with MCP-compatible applications. The implementation focuses on simplicity and ease of use, with a clear project structure and dependency management through pyproject.toml. It's particularly useful for developers looking to quickly set up an MCP server for AI-powered applications, enabling seamless communication between models and clients across various use cases such as natural language processing, data analysis, or task automation.

Cognium trust score

65%

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/whataboutyou-ai/eunomia-mcp-server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Eunomia 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"