langfuse-mcp and Zammad-MCP

langfuse-mcp
74
Verified
Zammad-MCP
53
Established
Maintenance 13/25
Adoption 17/25
Maturity 25/25
Community 19/25
Maintenance 13/25
Adoption 6/25
Maturity 15/25
Community 19/25
Stars: 61
Forks: 18
Downloads: 6,228
Commits (30d): 0
Language: Python
License: MIT
Stars: 22
Forks: 17
Downloads: —
Commits (30d): 0
Language: Python
License: AGPL-3.0
No risk flags
No Package No Dependents

About langfuse-mcp

avivsinai/langfuse-mcp

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

This tool helps AI engineers and developers integrate their AI agents with Langfuse for comprehensive observability. It allows AI agents to query detailed trace data, observations, session information, exceptions, and manage prompts directly from Langfuse. This means your agents can understand their own behavior, debug issues, and respond to historical data.

AI agent development LLM observability AI debugging Prompt engineering AI operations

About Zammad-MCP

basher83/Zammad-MCP

A Model Context Protocol (MCP) server for Zammad integration, enabling AI assistants to interact with tickets, users, and organizations.

Implements 18+ tools spanning ticket lifecycle management, attachment handling, and user/organization lookups, plus cached system data endpoints for performance optimization. Uses stdio transport with Python's async architecture, supporting multiple Zammad authentication methods (token, OAuth2, or credentials) and offering dual response formats (Markdown for LLM consumption, JSON for structured data). Integrates with Claude Desktop and broader MCP client ecosystem via configurable transports including HTTP for remote deployments.

Related comparisons

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