pulsemcp verified Safe content atomic mcp-remote

Feishu Defect Tracker

MCP-FEISHU is a microservice control plane server that integrates Feishu OpenAPI with Windsurf IDE, enabling seamless API discovery and management. It provides tools for retrieving defect information through two main endpoints: getting specific defect links by ID and fetching recently updated defect lists filtered by status and date range. The server supports both stdio and HTTP/SSE transport methods, making it flexible for different integration scenarios while maintaining a standardized communication protocol for API testing and documentation capabilities.

Cognium trust score

100%

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: file-system
Source: PulseMCP
Repository: github.com/ningyv179/mcp-feishu
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Feishu Defect Tracker 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"