"Codebeamer application lifecycle management platform" matching MCP connectors:
GET /v1/connectors ā MCP directory API referenceMatching Connector Tools:
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: šµļø Run advanced Root-cause analysis over recent logs š¦ List and describe Pipelines š¤ Export and filter Logs with powerful query syntax
Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.
- SpikeOAuthsh.spike.mcp
Official Spike MCP server for incident management, alerting, and on-call.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.
Investigate errors, track deployments, analyze performance, and manage application monitoring
MCP control plane for AI developers managing customer mail, DNS, projects, keys, and diagnostics.
- SuperlogOAuthsh.superlog
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
- mttrlyOAuthcom.mttrly
AI-powered incident management and server monitoring via MCP.
Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.
