"Discover" matching MCP servers:

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

Read-only MCP server for Grafana Loki: lets AI agents (Claude Code, Cursor, Copilot) discover labels, read bounded LogQL pages, count lines by label or time, and export logs — across several Loki stands

Minimal MCP server that integrates with Graylog, enabling agents to search, analyze, and inspect log messages across streams, discover fields and streams, and query multiple Graylog instances.

An MCP server for SonarQube that enables LLM agents to discover projects, analyze code quality metrics, check Quality Gate status, search issues with filters, and rank projects by worst-performing metrics. It provides read-only, safe access to SonarQube instances with structured outputs and error handling.

Enables Claude to discover and understand infrastructure-as-code drift by listing projects with drift, analyzing Terraform plan outputs, and providing remediation information.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

A local Model Context Protocol (MCP) server that allows an MCP client such as Codex to discover and call Cisco Nexus Dashboard APIs for inventory, health checks, troubleshooting, and controlled configuration changes.

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

Enables querying Munin RRD time-series data through natural language, with tools to discover hosts/plugins, fetch raw or aggregated metrics, and render graphs.

Enables MCP-aware hosts to discover and call tools for listing authorized devices, sending commands, reading telemetry, managing sub-devices, and creating, updating, or deleting device schedules through the API.

A Model Context Protocol server that enables AI assistants to query Prometheus metrics, discover available data, and analyze system performance through natural language interactions.

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

Model Context Protocol server for Parseable that lets MCP-capable clients discover, query, and manage Parseable datasets and alerts using natural language. Supports both stdio and HTTP transports.

Enables AI agents to discover, browse, read, search, and safely write OPC UA industrial device data within controlled edge networks, with guarded two-phase writes and evidence-based root-cause diagnostics.

Enables agents to discover, resolve, verify, and monitor AI agents and MCP servers from the Wellknown live index, including observed liveness, reliability, and ownership claims.

Enables AI assistants to execute PromQL queries and discover metrics across multiple Prometheus tenants using the Model Context Protocol. It supports single and multi-tenant configurations with secure authentication for instant and range query analysis.

Enables AI assistants to execute PromQL queries and discover metrics within AWS Managed Prometheus (AMP) using SigV4 authentication. It provides tools for instant and range queries, label management, and metric discovery in secure, VPC-isolated environments.

Prometheus MCP server for AI agents: query metrics, explain firing alerts, discover series

Provides read-only MCP access to Signal K vessel data for diagnostics, letting clients retrieve allowed self values, discover paths, list plugins, and report capability/security policy without write or control commands.

An MCP server for retrieving and filtering logs from Mezmo with a quota-conscious design and intelligent defaults. It enables users to discover and query logs by application, level, and custom time ranges to streamline debugging while minimizing API usage.