MCP Servers

Elasticsearch MCP Server allows AI assistants to: - Manage Cluster Health: Retrieve the health status of the Elasticsearch cluster. - Perform Index Operations: List, create, and reindex indices with optional settings and mappings. - Handle Mappings: Get and update field mappings for specific indices. - Execute Searches: Perform searches using Elasticsearch's Query DSL. - Manage Templates: Create, retrieve, and delete index templates. This integration facilitates AI-driven management and querying of Elasticsearch data through conversational commands.

Nile MCP Server allows AI assistants to: - Manage Databases: Create, list, retrieve details, and delete databases. - Handle Credentials: Create and list database credentials. - Access Regions: List available regions for database creation. - Execute SQL Queries: Perform SQL queries directly on Nile databases. This integration facilitates AI-driven management and querying of Nile databases through conversational commands.

BloodHound-MCP-AI allows security professionals to: - Query BloodHound Data Using Natural Language: Perform complex Active Directory attack path analyses without needing to write Cypher queries. - Discover Complex Attack Paths: Identify potential security vulnerabilities and privilege escalation paths within Active Directory environments. - Assess Security Posture Efficiently: Streamline the process of evaluating Active Directory security by leveraging AI-driven analysis. This integration makes complex Active Directory attack path analysis accessible to a broader range of security professionals by simplifying the querying process through natural language.

OpenAI WebSearch MCP Server allows AI assistants to: - Perform Web Searches: Execute web searches using OpenAI's web search functionality to retrieve current information not present in the assistant's training data. This integration enables AI-driven interaction with the internet, facilitating tasks such as fetching the latest news, facts, or other web-based information through natural language commands.

Gibson AI MCP Server allows AI assistants to: Access Gibson AI Services: Interact with various services provided by Gibson AI. Execute Commands: Perform actions and retrieve information through natural language commands. This integration enables AI-driven interaction with Gibson AI's platform, facilitating tasks such as data retrieval and execution of services through conversational interfaces.

Cursor MCP Installer allows users to: - Install MCP Servers: Easily install MCP servers from npm packages, Git repositories, or local directories. - Configure MCP Servers: Automatically add installed MCP servers to Cursor's configuration. - Manage Installations: Handle installation paths, environment variables, and arguments for MCP servers. This integration streamlines the process of setting up and managing MCP servers within Cursor, enhancing the development workflow.

DBHub serves as a universal database gateway, allowing AI assistants to: - Explore Database Schemas: Access and navigate database schemas, tables, indexes, and procedures. - Execute SQL Queries: Perform SQL operations across supported databases. - Manage Database Resources: Retrieve and manipulate database elements such as schemas, tables, and indexes. This integration facilitates AI-driven database management and exploration through natural language commands.

IcebergMCP allows AI assistants to: - - Query Data: Execute SQL queries on Iceberg tables. - Manage Tables: Create, alter, and drop tables within the Iceberg catalog. - Retrieve Metadata: Access metadata information about tables and schemas. This integration facilitates AI-driven management and analysis of data within an Apache Iceberg Lakehouse through conversational commands.

DodoPayments MCP Server allows AI assistants to: - Manage Payments: Create, retrieve, and list payments. - Handle Subscriptions: Create, retrieve, update, and list subscriptions. - Manage Customers: Create, retrieve, update, and list customer information. - Process Refunds: Initiate and retrieve refund details. - Manage Products: Create, retrieve, update, and list products. This integration enables AI-driven interaction with DodoPayments' services, facilitating tasks such as payment processing and subscription management through natural language commands.

Mac Messages MCP allows AI assistants to: - Read Recent Messages: Access recent iMessage conversations from the macOS Messages app. - Filter by Contact: Retrieve messages specific to a particular contact. - Send Messages: Send new messages through iMessage. - Attachment Processing: Handle message attachments appropriately. - Contact Management: Manage contact information within messages. - Group Chat Handling: Support interactions within group chats. This integration enables AI-driven interaction with iMessage, facilitating tasks such as querying conversation history and sending messages through natural language commands.

GCP MCP Server allows AI assistants to: - Query and Modify GCP Resources: Interact with various GCP services using natural language commands. - Multi-Project and Multi-Region Support: Manage multiple GCP projects and regions seamlessly. - Secure Credential Handling: Ensures that credentials are managed securely without exposure to external services. - Local Execution: Operates using locally configured GCP credentials for enhanced security. - Automatic Retries: Implements retries for improved reliability in operations. This integration facilitates AI-driven management of GCP resources, enabling tasks such as listing projects, retrieving billing information, managing Cloud SQL instances, and accessing logs through conversational commands.

Hyperbrowser MCP Server enables AI assistants to perform various web automation and data extraction tasks, including: - Web Scraping: Extract formatted content from web pages. - Web Crawling: Navigate through linked pages and extract content. - Structured Data Extraction: Convert HTML into structured JSON data. - Search with Bing: Perform web searches using Bing. - Browser Automation: Utilize agents like OpenAI's CUA and Anthropic's Claude for browser tasks. This integration allows AI-driven interaction with web content through natural language commands.

Neon MCP Server allows AI assistants to: - Manage Projects: Create, list, describe, and delete Neon projects. - Handle Branches: Create, describe, and delete branches within projects. - Execute SQL Queries: Run individual SQL queries or transactions against Neon databases. - Retrieve Database Information: List tables and describe table schemas. - Perform Migrations: Safely prepare and apply database schema changes using Neon's branching capabilities. This integration enables AI-driven management of Neon databases through conversational commands.

Puppeteer MCP Server allows AI assistants to: - Navigate Web Pages: Direct the browser to specified URLs. - Capture Screenshots: Take screenshots of entire pages or specific elements. - Interact with Page Elements: Click, hover, fill forms, and select options. - Execute JavaScript: Run custom JavaScript code within the browser context. This integration enables AI-driven browser automation, facilitating tasks such as web scraping, testing, and content interaction through natural language commands.

Raygun MCP Server allows AI assistants to: - Manage Applications: List, retrieve, and regenerate API keys for applications. - Handle Error Groups: List error groups, retrieve details, and update statuses (e.g., resolve, activate, ignore). - Manage Deployments: List, retrieve, update, delete, and reprocess deployment commits. - User and Session Management: List customers, sessions, and retrieve session details. - Performance Monitoring: Access page metrics, including time-series data and histograms. - Source Map Management: List, retrieve, update, delete, and upload source maps. - Team Management: Manage team invitations, including listing, sending, retrieving, and revoking. - This integration enables AI-driven management of Raygun's monitoring services through natural language commands.

Tinybird MCP Server allows AI assistants to: - Query Data Sources: Execute queries on Tinybird Data Sources using the Query API. - Access API Endpoints: Retrieve results from existing Tinybird API Endpoints via HTTP requests. - Push Datafiles: Upload local data files to create remote Data Sources or Pipes in the Tinybird Workspace. - List Resources: Enumerate all Data Sources and Pipes within the Tinybird Workspace. - Retrieve Resource Details: Obtain detailed information about specific Data Sources or Pipes, including schemas and SQL transformations. - Analyze Pipes: Utilize Tinybird's analyze API to run ClickHouse explanations on Pipe Endpoint queries, providing optimization suggestions. - Save Events: Send events to Tinybird Data Sources, facilitating user-generated prompt storage and retrieval. This integration enables AI-driven interaction with Tinybird's real-time data platform, facilitating tasks such as data analysis and management through natural language commands.

MCP Snowflake Service allows AI assistants to: - Execute SQL Queries: Perform SELECT, INSERT, UPDATE, DELETE, and other SQL operations on Snowflake databases. - Manage Database Connections: Automatically handle connection lifecycles, including creation, timeout reconnection, and closure. - Handle Query Results and Errors: Process query outcomes and manage errors effectively. - Perform Secure Database Operations: Ensure safe execution of database tasks. This integration enables AI-driven interaction with Snowflake databases, facilitating tasks such as data retrieval and manipulation through natural language commands.