"Latest version of copilot-api package" matching MCP servers:

Provides up-to-date AI model names and pricing from models.dev, solving model hallucination by fetching recently released models.

Enables sending prompts over direct SignalR WebSockets, maintaining persistent conversation state across calls and restarts, and starting fresh chats through MCP tools without launching a browser.

MCP server for GitHub Copilot that allows querying any Copilot model programmatically using existing Copilot CLI credentials, with support for file attachments and model discovery.

Wraps the copilot CLI into MCP tools, allowing third-party MCP clients to invoke Copilot through prompt and command tools.

Enables MCP clients such as Claude Desktop or compatible editors to run local, privacy-first job-search workflows including resume generation and STAR polishing, JD matching, GitHub project recommendations, mock interviews, and application tracking. It exposes these capabilities as callable tools through the Model Context Protocol.

Enables querying Microsoft's Bing Copilot AI to retrieve structured answers, citations, and brand mention checks as JSON, designed for AEO/GEO monitoring.

Bridges Microsoft Foundry agents and Power BI semantic models into GitHub Copilot Chat, enabling users to query and modify measures as the signed-in user via MCP.

MCP server to check GitHub Copilot quota, rate-limit status, and reset times from any MCP client.

Structured reasoning MCP server that decomposes problems into atomic steps (premise, reasoning, hypothesis, verification, conclusion) with confidence scoring, live visualization, and approval feedback.

MCP server providing virtual memory for AI context with durable SQLite storage, retrieval, and bounded prompt assembly to manage context windows.

Enables coding agents to build, test, ship, and manage Microsoft Copilot Studio agents from the editor, with YAML-based authoring, sync via Power Platform CLI, and API coverage for evaluations, chat, and flows.

MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.

Exposes a user-authenticated Microsoft 365 Copilot Chat browser session as a stdio MCP server, enabling AI-powered chat interactions via MCP tools like copilot_chat and copilot_status.

Enables querying multiple AI models simultaneously and returns all answers unmerged for the user to weigh.

Provides access to GitHub Copilot agents, prompts, instructions, skills, collections, plugins, hooks, and workflows via the Model Context Protocol.

Enables conversational triage of ServiceNow incidents via Claude Desktop, automatically classifying and routing them based on company knowledge.

Enables document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.

Enables interaction with Microsoft Copilot Studio Agents through the Direct Line 3.0 API, allowing users to start conversations, send messages, retrieve history, and end conversations directly from their code editor.

Turn any API into an MCP server. Query in English. Get results—even when the API can't.

Enables sophisticated reasoning workflows using graph-based representations for AI models.