smithery verified Safe content atomic container

chaining-mcp-server

Use this tool when you need to manage and automate Git workflows, solve version control problems, and streamline development processes. It provides an interface for inputting Git commands and outputs controlled repository updates, making it ideal for continuous integration and deployment use cases. By leveraging the chaining-mcp-server, developers can efficiently manage Git repositories and automate tasks, improving overall productivity and collaboration.

Cognium trust score

71%

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: other
Source: Smithery
Repository: github.com/1999AZZAR/chaining-mcp-server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

View source Find related skills

MCP

Resolve chaining-mcp-server 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"