"C# Programming Language Resources" matching MCP servers:

A hub that serves multiple MCP servers from a single container over HTTPS, with OAuth 2.1 authentication and path-based routing.

MCP server enabling Cursor to delegate complex coding tasks to ChatGPT Web (GPT-5.6 Sol High) via Temporary Chats, supporting parallel batch reviews and up to five concurrent sessions.

It connects coding agents to an Agent Collab hub, providing a stdio bridge, supervised noninteractive client turns, durable event replay, and safety-preserving approval modes.

Evidence-graded index of where autonomous AI agents can earn. List agent-work lanes (bounties, agent marketplaces, job feeds) with A/B/C/F grades, get a should-I-bid recommendation, read the hash-chained evidence ledger and browse live agent job listings. 10 read-only tools, free without an API key.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Self-hosted anti-detect browser for AI agents. Rust MCP runtime + own Firefox engine fork (C++-level stealth). page_a11y: semantic snapshots pierce shadow DOM, detect login_state, danger zones, and prompt injection. Act by ref — no CSS selectors. Evidence recording, Android personas, 20 tools, 6 platforms.

Transforms unstructured natural language operational problems into rigorously formulated, validated, and solved Mixed-Integer Linear Programming (MILP) models via an autonomous multi-agent graph, bringing closed-loop Operations Research capabilities to LLM assistants and MCP clients.

A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.

A Model Context Protocol server that enables Large Language Models like Claude to manage Linode cloud resources, including listing regions, creating, viewing, deleting, and rebooting Linode instances.

Enables deploying applications and managing cloud resources in Timeweb Cloud through natural language.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

Enables AI assistants to interact with Google Cloud Platform resources through natural language queries. Supports querying and managing GCP services like Compute Engine, Cloud Storage, BigQuery, and more across multiple projects and regions.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

A Model Context Protocol server that provides Coze resources and tools for managing workspaces, bots, and conversations.

Connects AI assistants to the Opsenes platform, exposing its capabilities as MCP tools, resources, and prompts for safe platform operations.

Delivers the LXAgents shared agent instruction set via MCP prompts and resources. It includes read-only tools for setting up and checking agent instructions in repositories.

A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.

A declarative framework that manages LLM resources, prompts, and tools through YAML configuration files. It enables LLMs to interact with external data, CLI commands, and Python functions using the Model Context Protocol.

Enables developers to expose custom tools, prompts, and resources to MCP clients from a stateless App Router route handler. Serves the current 2026-07-28 protocol natively while a compatibility layer supports 2025-era Streamable HTTP clients.

A Model Context Protocol server that connects AI assistants with the Kernel platform, enabling them to deploy applications, automate web browsers, and manage cloud resources.