"Python context management and dependency solving in ComfyUI" matching MCP servers:

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

MCP server for managing devices via JAMF Pro and Microsoft Intune APIs, enabling AI assistants to query and control device management tasks.

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

Enables AI assistants to manage OpenStack cloud resources including compute, images, identity, network, and block storage via the Model Context Protocol.

Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.

Enables integration between Claude AI and Nasuni environments to monitor appliance health, manage volumes and shares, and generate comprehensive infrastructure reports. Users can interact with the Nasuni Management Center through natural language to track performance metrics and summarize system notifications.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

This template enables developers to quickly scaffold, deploy, and extend a Model Context Protocol server on Render, with bearer-token authentication and a streamable HTTP endpoint, by adding custom tools via Python.

Enables deploying a minimal MCP server on Render with Streamable HTTP transport, bearer-token authentication, a health check endpoint, and a sample tool.

A minimal MCP server template for Python with Streamable HTTP transport, bearer token authentication, and a health check endpoint, designed for one-click deployment on Render.

A minimal MCP server template with Streamable HTTP transport, bearer token authentication, and a health check endpoint, designed for quick deployment on Render. It provides an example tool and is meant to be forked and customized with your own tools.

A minimal Model Context Protocol server template for Render with bearer token authentication, an example tool, and a health check endpoint. Enables deploying custom MCP tools quickly on Render.

An MCP Server providing access to Google's Firebase API, allowing natural language interaction with Firebase services and resources.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Provides AI agents with secure, natural-language access to Oracle Cloud Infrastructure through 69 tools covering services like compute, storage, networking, and databases. It features deep IAM integration and supports deployment across platforms like Claude Desktop, Cursor, and OCI Generative AI.

An MCP server that enables interaction with Google's My Business Account Management API, allowing users to perform account management operations through natural language interactions.