Packages

MCP server wrapping Sendbird's messaging platform REST API, providing agent-native tools for managing users, channels, and message history — enabling agents to query chat logs, moderate content, and manage in-app messaging channels without constructing raw API calls.

Official MCP server from SingleStore Labs (singlestore-labs org) for SingleStoreDB — a cloud-native distributed SQL database with real-time analytics and vector search capabilities. Enables AI agents to query, manage, and interact with SingleStore databases, supporting both SQL analytics workloads and vector similarity search for AI applications.

Official Tauri MCP plugin enabling AI agents to interact with Tauri desktop applications — controlling Tauri app windows, reading and writing application state, triggering Tauri commands, accessing the desktop app's backend (Rust) and frontend (WebView) from AI agents, and integrating AI capabilities into Tauri cross-platform desktop application development and testing workflows.

Vulnerable MCP Servers Lab — a security research and education platform containing multiple intentionally vulnerable MCP server implementations demonstrating various MCP attack vectors including prompt injection, tool poisoning, data exfiltration, SSRF, and authentication bypass, organized as a progressive learning lab for security researchers and developers building MCP defenses.

Official Box MCP server enabling AI agents to interact with Box's content management platform — reading, uploading, searching, and organizing files and folders; managing permissions; and accessing Box's AI features.

Official Google Ads MCP server from Google Marketing Solutions enabling AI agents to interact with Google Ads — querying campaign performance, managing ad groups and keywords, analyzing spend and ROAS, creating reports with GAQL, and integrating Google Ads data into agent-driven marketing automation and optimization workflows.

Fully managed cloud MongoDB service with global clusters, built-in vector search, Atlas Search (full-text), and an official MCP server for agent-driven database operations.

Official Nutrient (PSPDFKit) Document Web Services MCP server enabling AI agents to process documents — converting files between formats (PDF, Word, Excel, images), applying OCR to scanned documents, merging and splitting PDFs, adding annotations and watermarks, extracting text and data from documents, and integrating enterprise document processing into agent-driven document automation workflows.

Official QuickBooks Online MCP server enabling AI agents to interact with Intuit's QuickBooks Online accounting platform — managing invoices, expenses, customers, and transactions; querying financial reports; reconciling accounts; and integrating QuickBooks' small business accounting into agent-driven finance automation workflows.

The official Redis MCP server that gives AI agents natural language access to Redis data structures — strings, hashes, lists, sets, sorted sets, streams, JSON, and vector indexes — including semantic search and Azure EntraID authentication.

Vectorize MCP server enabling AI agents to use Vectorize.io's managed RAG platform — ingesting documents, performing semantic vector search, retrieving relevant context, and integrating Vectorize's managed embedding and retrieval infrastructure into agent-driven knowledge retrieval and RAG workflows.

Official Apache IoTDB MCP server enabling AI agents to interact with IoTDB's time-series database — querying sensor and device data, managing measurement schemas, executing time-series queries, and integrating IoTDB's industrial IoT time-series capabilities into agent-driven IoT analytics and monitoring workflows.

Official Axiom MCP server enabling AI agents to query and analyze log data stored in Axiom — running APL (Axiom Processing Language) queries, exploring datasets, and analyzing observability data at scale.

Official LangSmith MCP server enabling AI agents to interact with LangSmith's LLM observability platform — querying traces, evaluating runs, managing prompts in the Prompt Hub, accessing datasets, and monitoring LLM application performance.

Official Mem0 MCP server enabling AI agents to use Mem0's intelligent persistent memory layer — storing and retrieving memories for AI agents, personalizing responses based on user history, and providing long-term context management across agent sessions.

Prometheus MCP server enabling AI agents to query Prometheus time-series metrics, execute PromQL queries, retrieve alert states, inspect scrape targets, and analyze system performance data — connecting AI workflows directly to Prometheus-based monitoring infrastructure.

Official Weights & Biases MCP server enabling AI agents to query and manage ML experiments, runs, metrics, artifacts, sweeps, and the model registry — integrating W&B's experiment tracking platform into AI-driven MLOps workflows.

Hayhooks MCP server from deepset enabling AI agents to trigger and interact with Haystack AI pipelines — executing RAG pipelines, running document processing workflows, querying knowledge bases built with Haystack, and integrating Haystack's LLM application framework into agent-driven AI pipeline orchestration and knowledge retrieval workflows.

Official OpenSearch MCP server enabling AI agents to interact with OpenSearch clusters — executing search queries, managing indices, performing aggregations, and accessing OpenSearch's open-source fork of Elasticsearch for search and analytics.

Official Pulumi MCP server enabling AI agents to interact with Pulumi's infrastructure-as-code platform — deploying stacks, querying resource state, managing cloud infrastructure, and accessing Pulumi AI documentation.