Best osquery MCP Server Alternatives 2026

Query your ClickHouse database server for analytics workloads.

The MCP server is free and open-source. ClickHouse Cloud: Free trial available. Pay-as-you-go pricing. Self-hosted ClickHouse is free and open-source.

The Sentry MCP Server is Sentry's official Model Context Protocol integration, purpose-built for human-in-the-loop coding agents like Claude Code, Cursor, and Windsurf. Rather than exposing every Sentry API endpoint, it focuses tightly on developer debugging workflows: searching and triaging issues, pulling stack traces and event details, inspecting performance traces, and querying project/team/org metadata in natural language. The primary deployment is a hosted remote MCP server at mcp.sentry.dev, built on Cloudflare's remote-MCP infrastructure, so most users connect with zero local setup — just add the remote URL to their client. For self-hosted Sentry instances or local development, a stdio transport is also available via npx @sentry/mcp-server, authenticated with a Sentry User Auth Token scoped to org:read, project:read, project:write, team:read, team:write, and event:write. AI-powered search tools (search_events, search_issues) translate natural-language queries into Sentry's query syntax, but require a configured LLM provider (OpenAI, Azure OpenAI, Anthropic, or OpenRouter) — all other tools work without one. Claude Code users can also install it as a plugin (claude plugin install sentry-mcp@sentry-mcp) for automatic subagent delegation whenever a conversation touches Sentry errors, issues, or traces. This turns "why did this deploy break in production" into a direct conversational debugging session instead of tab-switching into the Sentry dashboard.

The MCP server is free and open-source. Sentry: Developer tier (free, 5K errors/mo). Team: $26/mo. Business: $80/mo. Enterprise: Custom.

The Datadog MCP Server is Datadog's official Model Context Protocol integration that connects AI assistants directly to your Datadog observability platform — metrics, logs, APM traces, infrastructure, and monitors. Built and maintained by Datadog, the server uses your API and application keys to expose tools for querying live time-series metrics with full DQL expressions, searching log events with Datadog Log Management query syntax, retrieving distributed APM traces and service performance summaries, listing infrastructure hosts and their tags, and checking the status of Datadog monitors and downtime windows. This gives Claude real-time visibility into your production systems: ask "What's the p99 latency for the payments service over the last hour?" or "Find all ERROR-level logs from the auth service since the last deploy," and receive answers backed by live Datadog data rather than stale dashboards. Authentication requires a Datadog API key (DD_API_KEY) and an Application key (DD_APP_KEY) with appropriate scope — both available from Organization Settings > API Keys and Application Keys in the Datadog UI. Set DD_SITE to your Datadog region (e.g., datadoghq.com, datadoghq.eu, or us3.datadoghq.com). Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. Especially powerful for SRE, DevOps, and on-call workflows where engineers need AI to correlate metrics, logs, and traces during incident response without context-switching away from their conversation.

The MCP server is free and open-source. Datadog: Free tier (5 hosts). Pro: $15/host/mo. Enterprise: $23/host/mo. Additional products priced separately.

The official Grafana MCP server connects Claude and other AI assistants directly to your Grafana instance and its surrounding observability ecosystem, turning natural-language questions into dashboard lookups, incident investigations, and datasource queries. Dashboard tools cover search, retrieval, JSONPath-scoped property extraction, patch-based editing, and per-panel query/datasource introspection, with context-window-aware helpers like get_dashboard_summary so an agent never has to pull a full multi-megabyte dashboard JSON just to answer a simple question. Query tools speak PromQL against Prometheus (including histogram-percentile helpers), LogQL against Loki, and native query languages for InfluxDB, ClickHouse, CloudWatch, Graphite, Athena, Snowflake, Elasticsearch/OpenSearch, and Quickwit datasources — most gated behind opt-in --enabled-tools flags to keep the default tool surface lean. It also wraps Grafana Incident for creating and updating incidents, Sift for automated error-pattern and slow-request investigations, full alerting CRUD (rules, contact points, notification policies) across Grafana-managed and external Alertmanager sources, Grafana OnCall schedule/shift/alert-group management, RBAC-gated admin tools for teams/users/roles, deeplink generation so the LLM never has to guess a dashboard URL, annotations, snapshots, PNG rendering via the Grafana Image Renderer, and provisioning-repo validation for git-sync workflows. Ships as a Go binary or via uvx, authenticates with a Grafana service account token (Editor role or granular RBAC scopes), and every tool category can be individually disabled to control context-window usage.

The MCP server is free and open-source. Grafana Cloud: Free tier (10K metrics, 50GB logs). Pro: $29/mo. Advanced: $299/mo. Self-hosted is free.

Query and analyze your Axiom logs, traces, and all other event data in natural language.

The MCP server is free and open-source. Axiom: Free tier (500GB ingest/mo). Team: $25/mo. Enterprise: Custom pricing.

There is no official, Snyk-published Model Context Protocol server as of this writing — a commonly referenced `snyk/mcp-server` repo does not exist. The most active real alternative is sammcj/mcp-snyk, a community-built, MIT-licensed MCP server that wraps Snyk's API and CLI for agentic security scanning (marked alpha by its author, so expect rough edges). It exposes tools to scan a GitHub or GitLab repository by URL for vulnerabilities, scan an existing Snyk project by ID, and verify that a configured API token is valid, returning the associated user and organization info. Authentication uses a Snyk API token and an org ID, supplied via `SNYK_API_KEY`/`SNYK_ORG_ID` environment variables, falling back to the locally configured Snyk CLI org if one isn't set explicitly. Install with `npx -y github:sammcj/mcp-snyk` in your MCP client config (Claude Desktop, Cursor, etc.). Typical use: ask Claude to "scan https://github.com/org/repo for security vulnerabilities using Snyk" and get back a structured findings summary instead of switching to the Snyk web console. Snyk's own engineering org separately maintains snyk/agentic-integration-wrappers, a set of wrappers for plugging Snyk scanning into agentic workflows more broadly — worth checking if this community MCP server doesn't cover your use case, since it isn't an official Snyk product and has no guaranteed support or roadmap.

The MCP server is free and open-source. Snyk: Free tier (200 open-source tests/mo). Team: $25/dev/mo. Enterprise: Custom pricing.

The official SonarQube MCP Server, built and maintained by SonarSource, connects AI agents like Claude, Cursor, and VS Code Copilot to SonarQube Server or SonarQube Cloud so code quality and security become part of the agent's workflow rather than a separate CI step. Through it an assistant can pull the projects a token can see, retrieve open issues and code smells, inspect quality gate status and project metrics, and — notably — analyze a code snippet directly inside the agent context without the code first being committed and scanned by a pipeline, which lets Claude check its own just-written code against SonarQube's rules before you ever push. Authentication is a SonarQube user token supplied via the `SONARQUBE_TOKEN` environment variable; SonarQube Cloud users also set `SONARQUBE_ORG` (organization key), and self-hosted SonarQube Server users set `SONARQUBE_URL` to point at their instance (SonarQube Cloud US uses `https://sonarqube.us`). The server is distributed as a Java-based OCI container image at `sonarsource/sonarqube-mcp` on Docker Hub — run it with `docker run --pull=always -i --rm -e SONARQUBE_TOKEN -e SONARQUBE_ORG sonarsource/sonarqube-mcp`, or pin a version tag for reproducible deployments — and works with any OCI-compatible runtime such as Podman or nerdctl. SonarSource also provides an interactive Configuration Generator at mcp.sonarqube.com that emits ready-to-paste client config. Ideal for teams that want AI-assisted code review grounded in the same rules and quality gates their SonarQube project already enforces.

The MCP server is free and open-source. SonarQube: Community Edition (free, open-source). Developer: from $150/year. Enterprise: from $20K/year. Data Center: Custom.

Connects AI agents with the CrowdStrike Falcon platform for intelligent security analysis.

The MCP server is free and open-source. CrowdStrike Falcon: Enterprise pricing — contact sales. Falcon Go for small business from $299.95/yr for 5 devices.

The official Auth0 MCP server lets Claude, Cursor, and Windsurf manage an Auth0 tenant end-to-end through natural language instead of the dashboard — create applications, deploy Actions, debug logs, and manage resource servers just by asking. Its standout feature is the guided onboarding flow: the auth0_onboarding tool detects your project framework, creates a correctly configured Auth0 application, writes credentials straight into a .env file (auto-added to .gitignore), and hands off to auth0_get_quickstart_guide, which resolves callback URLs and returns framework-specific SDK integration code — taking a project from zero to a working Auth0 login in one guided conversation. Beyond onboarding, the tool surface spans Applications (list/get/create/update, plus credential export), Resource Servers/APIs (create and manage scopes, token lifetimes, signing algorithms), Application Grants (authorize M2M apps against specific APIs with defined scopes), Actions (create, update, and deploy post-login/pre-token logic), Logs (search and inspect authentication events, e.g. failed logins from a given IP), and Forms (build and publish branded login/signup/password-reset forms). Installs via npx with a device-authorization OAuth flow that stores credentials in your system keychain, supports Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Gemini CLI, and Codex, and exposes --tools/--read-only flags to scope down which operations an AI agent can perform — important given its Beta status and full read/write tenant access by default.

The MCP server is free and open-source. Auth0: Free tier (7,500 active users). Essentials: from $35/mo. Professional: from $240/mo. Enterprise: Custom.

Real User Monitoring data from Datadog.

The MCP server is free and open-source. Datadog RUM: From $1.50/1K sessions/mo. Session Replay: additional $1.80/1K sessions. 14-day free trial.