smithery scanned Safe content atomic container

Vestige MCP

Provide comprehensive access to Vestige API data and analytics through a standardized protocol interface. Query networks, protocols, assets, pools, trades, balances, notes, and vaults with flexible filtering and pagination. Enable seamless integration of Vestige's DeFi insights into LLM applications and workflows.

Cognium trust score

65%

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 2026-06-15.

Scan details: Circle-IR · 2026-06-15 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: ai-ml
Source: Smithery
Author type: human
Last scanned: 2026-06-15
Updated: 2026-06-15

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MCP

Resolve Vestige MCP 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"