pulsemcp verified Safe content atomic mcp-remote

Nexus Data Processor

This MCP server implementation provides a bridge to various data processing and API services. It integrates with libraries like Effect, Zod, and CSV for data handling, as well as external services such as YAML parsing and date manipulation. The server is designed to facilitate complex data operations and API interactions, making it suitable for tasks involving data transformation, validation, and integration with multiple data sources and formats.

Cognium trust score

97%

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: productivity
Source: PulseMCP
Repository: github.com/esh2n/mcp-servers
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Nexus Data Processor 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"