pulsemcp scanned Safe content atomic mcp-remote

DingTalk v2

This Python-based MCP server, developed by NangePlus, provides a lightweight and efficient implementation for AI assistants to interact with external services. Built with aiohttp for asynchronous operations, it offers a streamlined approach to handling MCP requests and responses. The server is containerized using Docker for easy deployment and scalability. It focuses on simplicity and performance, making it ideal for developers who need a fast, no-frills MCP server for integrating AI capabilities into their applications or services. This implementation is particularly suited for scenarios requiring quick setup and minimal overhead, such as prototyping AI-powered tools or building microservices that leverage AI assistants.

Cognium trust score

64%

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 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/wllcnm/dingding_mcp_v2
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve DingTalk v2 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"