pulsemcp verified Safe content atomic mcp-remote

Langfuse

MCP Server for Langfuse provides a bridge between AI assistants and Langfuse analytics workspaces, enabling access to LLM performance metrics through a simple interface. Developed by Shouting Hsiao, this implementation allows AI models to query metrics by time range, making it valuable for monitoring and analyzing AI system performance. The server requires minimal configuration with Langfuse API credentials and can be used either as a standalone CLI tool or integrated directly into existing Node.js applications.

Cognium trust score

96%

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: ai-ml
Source: PulseMCP
Repository: github.com/z9905080/mcp-langfuse
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Langfuse 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"