ibmi-mcp-server and sentry-mcp

Both are MCP (Multi-Cloud Platform or Multi-Platform Control) servers, but the Sentry tool is a specialized MCP for AI-driven interaction with Sentry's application monitoring, whereas the IBM tool is a general-purpose MCP for managing IBM i systems, making them ecosystem siblings serving different specialized needs within the broader MCP paradigm.

ibmi-mcp-server
71
Verified
sentry-mcp
71
Verified
Maintenance 13/25
Adoption 15/25
Maturity 24/25
Community 19/25
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 47
Forks: 22
Downloads: 1,354
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 590
Forks: 90
Downloads:
Commits (30d): 26
Language: TypeScript
License:
No risk flags
No Package No Dependents

About ibmi-mcp-server

IBM/ibmi-mcp-server

MCP server for IBM i systems

Implements MCP to expose IBM i Db2 databases through YAML-defined SQL tools, enabling AI agents to query system performance metrics, security data, and job information. The architecture routes client requests through an HTTP/stdio transport layer to Mapepire, which handles the actual database connections. Built on TypeScript/MCP SDK and compatible with multiple AI frameworks (Claude, LangChain, Agno) for integration into agent applications.

About sentry-mcp

getsentry/sentry-mcp

An MCP server for interacting with Sentry via LLMs.

Provides natural language search and error investigation tools optimized for coding workflows, with support for both remote deployment (via OAuth) and stdio transport for self-hosted Sentry instances. Features AI-powered search capabilities that translate natural language queries into Sentry's query syntax, plus integrations with development tools like Cursor and Claude Code as automatic subagents for error triage and debugging.

Scores updated daily from GitHub, PyPI, and npm data. How scores work