pulsemcp scanned Safe content atomic mcp-remote

DingTalk

This MCP implementation, developed for DingDing, provides a Docker-based server for executing MCP commands. Built with Python, it leverages the MCP library and integrates with external services through environment variables. The implementation stands out by offering a containerized solution, ensuring consistent execution across different environments. By abstracting the complexities of server setup and configuration, it enables easy deployment and scaling of MCP services. This tool is particularly valuable for projects requiring robust MCP server capabilities, facilitating use cases such as AI-powered chatbots, automated data processing pipelines, and scalable machine learning applications.

Cognium trust score

63%

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
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

View source Find related skills

MCP

Resolve DingTalk 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"