MCP Sunucuları

A Model Context Protocol server for Apache Kafka implemented in Go. Lets AI assistants inspect clusters, list and describe topics and consumer groups, produce test messages, and consume recent records, making it easier to debug and operate event-streaming pipelines from natural language.

A collection of Apple-native tools exposed through the Model Context Protocol, letting AI assistants work with built-in macOS apps. Provides access to Messages, Notes, Contacts, Calendar, Reminders, Mail, and Maps so agents can send messages, create notes and events, and look up contacts directly on a Mac.

A Model Context Protocol server that provides a natural-language interface for LLMs and agents to manage, monitor, and query data in CockroachDB. Supports schema exploration, query plan inspection, and running SQL, with a read-only-by-default posture so agents can investigate a distributed SQL cluster safely.

A Model Context Protocol server for Grafana Tempo that lets AI assistants query and analyze distributed tracing data. Agents can search traces with TraceQL, fetch a trace by ID, and inspect spans to investigate latency and errors across services during incident analysis.

Mapbox's official Model Context Protocol server, giving AI agents access to Mapbox's geospatial APIs. Supports forward and reverse geocoding, routing and directions, isochrone and matrix travel-time computation, and static map image generation, so assistants can answer location questions and build map-driven workflows from natural language.

The official OpenSearch Model Context Protocol server, enabling AI assistants to interact with OpenSearch clusters. Lets agents list indices, inspect mappings, run search and aggregation queries, and read basic cluster health so they can explore and analyze data stored in OpenSearch through natural language.

A Model Context Protocol server for working with large Oracle databases. It provides contextual schema information for databases with thousands of tables, letting AI assistants understand relationships, look up table and column definitions, and run queries without loading the entire schema into context.

A lightweight Model Context Protocol server for Spotify that lets AI assistants control playback and manage playlists through the Spotify Web API. Agents can search tracks, albums, and artists, start or pause playback, queue tracks, and create or update playlists on behalf of the authenticated user.

Square's Model Context Protocol server (by Block), giving AI agents access to the Square API. Supports working with payments, orders, catalog items, customers, and inventory, so assistants can look up sales data, manage a catalog, and automate commerce operations for a Square account.

Aqua Security's Trivy plugin that runs as a Model Context Protocol server, exposing Trivy's scanning capabilities to AI assistants. Scans container images, filesystems, and repositories for vulnerabilities, misconfigurations, exposed secrets, and license issues, returning structured findings agents can triage and act on.

An MCP server that lets AI assistants delegate work to the Google Gemini CLI, taking advantage of Gemini's very large context window for whole-file and codebase analysis. Exposes tools to ask Gemini questions with file references, brainstorm ideas, and stream long responses in chunks, so a client model can offload large-context reasoning to Gemini without leaving the current session.

Google's official collection of Model Context Protocol servers that expose Google's security products to MCP clients. Provides access to Google SecOps (Chronicle) for SIEM search and case management, Google Threat Intelligence for indicator and malware lookups, and Security Command Center for cloud posture and findings. Lets security agents investigate alerts, enrich indicators of compromise, and triage vulnerabilities directly from natural language.

AgentMail MCP gives AI agents secure email operations through hosted MCP access and local stdio bridges for agent-native inbox workflows.

Apache Doris' MCP server provides agents with governed access to Doris analytics databases for schema discovery, query assistance, and operational investigation.

Apache IoTDB's MCP server connects agents to time-series data and metadata for operational analysis, industrial telemetry exploration, and query assistance.

Apache SkyWalking's MCP server gives agents access to observability data for tracing, service topology, metrics, logs, and production incident investigation.

Apache Solr's MCP server connects agents to search collections and query workflows for schema discovery, relevance investigation, and search application development.

Buildkite's official MCP server for querying and operating CI/CD pipelines, builds, jobs, artifacts, and organization-level delivery workflows.

Chrome's official MCP server for inspecting and controlling a live browser through Chrome DevTools. It helps agents diagnose UI, network, performance, and runtime issues.

Google Cloud's MCP server for deploying and managing applications on Cloud Run, giving coding agents a guided path from source code to a serverless production service.

Dagster's MCP integration enables agents to inspect and operate data assets, jobs, schedules, and runs in modern data platforms.