mcp-stdio
shigechika/mcp-stdio/.github/copilot-instructions.md
serve`) — the mirror image (server side: HTTP in, stdio out): spawns a local stdio MCP server as a child process and publishes it as a Streamable HTTP endpoint so clients
How real projects brief GitHub Copilot, from .github/copilot-instructions.md.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
shigechika/mcp-stdio/.github/copilot-instructions.md
serve`) — the mirror image (server side: HTTP in, stdio out): spawns a local stdio MCP server as a child process and publishes it as a Streamable HTTP endpoint so clients
spuentesp/lain/.github/copilot-instructions.md
LAIN — Codebase Intelligence You have access to the Lain MCP server (tool prefix `mcp__lain__`). Lain indexes the current workspace and exposes tools for structural queries, semantic search, and code
techtalk/ai-readiness-assessment/.github/copilot-instructions.md
commands/ai-readiness-assess.md` nor `skills/ai-readiness-assessment/SKILL.md` may reference, invoke, or depend on any other plugin, skill, agent, MCP server, or external service. The `dependencies` field in `.claude-plugin/plugin.json` must remain absent
tosin2013/documcp/.github/copilot-instructions.md
DocuMCP AI Coding Agent Instructions DocuMCP is an intelligent MCP server for GitHub Pages documentation deployment with 45+ tools, Knowledge Graph memory system, and AST-based code analysis. ## Architecture Essentials
Vasallo94/obsidian-mcp-server/.github/copilot-instructions.md
built with FastMCP that exposes Obsidian vault operations as tools, resources, and prompts. ``` obsidian-mcp-server/ ├── obsidian_mcp/ │ ├── server.py # Entry point - creates FastMCP instance and registers all modules │ ├── config.py # Pydantic
zfy465914233/scholar-agent/.github/copilot-instructions.md
Global Instructions ## Project Context This is Scholar Agent — a knowledge flywheel MCP server with an academic paper research pipeline. It combines domain knowledge retrieval, structured research synthesis, and academic paper
chrisribe/simple-memory-mcp/.github/copilot-instructions.md
Simple Memory MCP Server TypeScript MCP server for persistent memory storage with SQLite FTS5. Works as both MCP server and CLI tool. ## Quick Reference ### Build & Test (All operations < 10 seconds
cortex-works/cortex-works-minimal/.github/copilot-instructions.md
operation and defaults to `{}`. - Never nest `cortex_act_batch_execute` inside itself. - If `cortex_mcp_hot_reload` appears in a batch, it must be the final operation because it restarts
dotnetpower/infomesh/.github/copilot-instructions.md
FTS5** | Zero-install, embedded full-text search | | Vector Index | **ChromaDB** | Semantic search with embeddings | | MCP Server | **mcp-python-sdk** | VS Code / Claude / Cursor / Windsurf integration | | Admin API | **FastAPI** | Local status
maxzrff/KnowledgeMCP/.github/copilot-instructions.md
feature plans. Last updated: 2025-10-26 ## Active Technologies - Python 3.11+ (001-mcp-knowledge-server) ## Project Structure ```text src/ tests/ ``` ## Commands cd src [ONLY COMMANDS FOR ACTIVE TECHNOLOGIES][ONLY COMMANDS
roman10/mcode/.github/copilot-instructions.md
individual components. - MCP automation is a first-class surface. `src/devtools/mcp-server.ts` starts the app’s MCP server and registers tool groups from `src/devtools/tools/*`. The integration suites in `tests/suites/*` talk
signnow/sn-mcp-server/.github/copilot-instructions.md
server and client SDK for SignNow API integration, organized under `src/`. - Major components: - `sn_mcp_server/`: Main server logic, CLI, authentication, and tool integrations. - `signnow_client/`: Handles SignNow API communication
structured-world/gitlab-mcp/.github/copilot-instructions.md
GitHub Copilot Instructions for gitlab-mcp ## Project Overview This is a GitLab MCP (Model Context Protocol) server that provides GitLab API access through standardized MCP tools. The project uses TypeScript
undercoveragents/undercoveragents/.github/copilot-instructions.md
Belongs to `Connector`, schema discovery + visibility, `SchemaIntelligence` + `SqlQueryBroadcasts` concerns, agents, jobs, services, prompts | | `tool_mcp_server` | `mcp_server` | Belongs to `Connector`, discovers MCP tools + manages visibility | | `tool_rag_query
ajbmachon/ajbm-skills/.github/copilot-instructions.md
JSONL - AI-optimized CLI with JSON output - Built-in daemon for background operations - MCP server integration for Claude and other AI assistants ## Issue Tracking with bd **CRITICAL**: This project uses
awslabs/service-onboarding-accelerator-on-aws/.github/copilot-instructions.md
state is written to `.service-approval/ /` (per-service layout) in the current working directory. ## MCP servers Registered via `.vscode/mcp.json`. Confirm these are reachable before starting the skill: - `aws-documentation` (stdio
bvenkata/legacy2mcp/.github/copilot-instructions.md
plain website with no API docs into a safe, typed, audit-logged MCP server -- read-only by default, every call audit-logged, no hand-written adapter code or hand-maintained
drknowhow/code-context-control/.github/copilot-instructions.md
every session. 2. **VERIFY**: confirm tools such as `mcp_c3_c3_search` and `mcp_c3_c3_read` are available before proceeding. ## C3 Tools — MANDATORY (workflow rule — no hooks in this
microsoft/ContextShare/.github/copilot-instructions.md
This VS Code extension manages AI assistant catalog resources (chat modes, instructions, prompts, tasks, MCP servers) across multiple repositories. It provides centralized discovery, activation, and "Hats" (preset) functionality
Poorgramer-Zack/dart-expert-skills/.github/copilot-instructions.md
kebab-case for file and directory names - Keep skills atomic - one skill per technology/framework ## MCP Servers This repository uses two MCP servers (configured in `.mcp.json`): - **exa**: Web search and content
Repository-wide instructions for GitHub Copilot, kept in .github/copilot-instructions.md.
How to build and test, the project's structure, and the conventions Copilot should follow in suggestions and reviews.
No. Copilot's coding agent also reads AGENTS.md, so many projects keep the shared rules there.
Open a file to see its discussion. Reports from people and their agents are coming.