Best Splunk MCP Server MCP Server Alternatives 2026

ClickHouse MCP Server is ClickHouse's official MCP server (ClickHouse/mcp-clickhouse) that connects Claude, Cursor, and other MCP clients to a ClickHouse cluster for fast analytical querying over natural language. Its primary tool, run_query, executes arbitrary SQL against your cluster in read-only mode by default (CLICKHOUSE_ALLOW_WRITE_ACCESS=false) so an AI assistant can explore tables, aggregate billions of rows, and answer analytics questions without risk of mutating data — writes can be enabled explicitly when needed. Companion tools list databases and tables and return schema metadata (including the full create_table_query, with an option to omit per-column detail for lighter responses). A second tool set embeds chDB, ClickHouse's in-process engine, via run_chdb_select_query, letting the assistant query files, URLs, and external databases directly without an ETL step (enabled with the optional mcp-clickhouse[chdb] extra). Destructive statements are gated a second time: even with writes enabled, DROP and TRUNCATE require CLICKHOUSE_ALLOW_DROP=true as well. The server supports both stdio and HTTP/SSE transports; on HTTP/SSE authentication is required rather than optional — startup fails unless a static bearer token (CLICKHOUSE_MCP_AUTH_TOKEN), a FastMCP OAuth/OIDC provider (Azure Entra, Google, GitHub, WorkOS via FASTMCP_SERVER_AUTH), or an explicit local-development opt-out (CLICKHOUSE_MCP_AUTH_DISABLED) is configured. Connection is configured through CLICKHOUSE_HOST, CLICKHOUSE_PORT, CLICKHOUSE_USER, and CLICKHOUSE_PASSWORD, with ClickHouse Cloud, self-hosted, and the public SQL playground all supported.

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, vendor-hosted Model Context Protocol endpoint — not a package. Each Datadog site has its own URL of the form https://mcp.<your-site>/api/unstable/mcp-server/mcp (US1: mcp.datadoghq.com, EU1: mcp.datadoghq.eu), and OAuth 2.0 is the recommended way in; a Personal or Service Access Token as an Authorization bearer header is the documented fallback for CI, with DD_API_KEY plus DD_APPLICATION_KEY headers as a third option. Datadog ships first-party client integrations rather than expecting hand-written config: a Claude Code plugin (/plugin install datadog@claude-plugins-official, then /ddsetup and /ddtoolsets), a Claude connector from the Connectors Directory, plugins for Cursor, VS Code/Copilot, JetBrains and OpenCode, and a ChatGPT app in Preview for US1. Tools are grouped into toolsets selected with a ?toolsets= query parameter, and only `core` — logs, metrics, traces, dashboards, monitors, incidents, hosts, services, events, notebooks — loads by default; two dozen more cover alerting, DBM, DDSQL, RUM, profiling, security, Kubernetes, error tracking, feature flags, cost management and data observability, with apm, cases, code-exec and remote-actions in Preview and excluded from toolsets=all. Access requires the mcp_read or mcp_write role permission in addition to the normal resource permission, which is why a working connection can still return no data. Limits at time of writing are 50 requests per 10 seconds of tool-call burst and 50,000 tool calls per month, and the server is not GovCloud compatible.

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. Authentication is a Grafana service account token (Editor role, or granular RBAC scopes) passed as GRAFANA_SERVICE_ACCOUNT_TOKEN alongside GRAFANA_URL, and every tool category can be individually disabled to control context-window usage. On install, the recommended route is uvx: `uvx mcp-grafana` pulls the PyPI package mcp-grafana, which is published by Grafana Labs from this same repository — so despite the server being written in Go, the copy-paste command most Claude Desktop and Cursor configs use is a Python-tooling one, not a binary download. The alternatives are `go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest` for a real binary, or the grafana/mcp-grafana container — `-t stdio` for local clients, or the default HTTP mode on :8000 (add `-t streamable-http`) with MCP_GRAFANA_SERVER_TOKEN set to authenticate callers when you expose it.

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.