JSONL
- AI-optimized CLI with JSON output
- Built-in daemon for background operations
- MCPserver integration for Claude and other AI assistants
## Tech Stack
- **Language**: Go 1.21+
- **Storage**: SQLite (internal/storage/sqlite
412mo agoReviewMountCreate a free account to mount
Copilot coding agent supports MCP **tools** only: resources and prompts are not supported.
Remote MCPservers require OAuth authentication; the Blueprint public endpoint needs no API key, sign
mcp.json` (worktree sessions) → use the CLI twin:
`task_graph_cli.py --json`. Hermes operators: add the proposed `mcp_servers:` entry to
`~/.hermes/config.yaml`; Hermes walks up from its own working directory.
## Non-negotiable invariants
mcp.json` (worktree sessions) → use the CLI twin:
`task_graph_cli.py --json`. Hermes operators: add the proposed `mcp_servers:` entry to
`~/.hermes/config.yaml`; Hermes walks up from its own working directory.
## Non-negotiable invariants
summarize, not decide.
- Never execute, install, or connect to a scanned MCPserver.
- Never add default-on telemetry.
- Never weaken a detector, golden fixture, or corpus expectation to pass tests
ComparEdge MCPServer — Copilot Instructions
This repository contains the ComparEdge MCPserver (`@comparedge/mcp-server`).
## What this server does
Provides structured access to verified SaaS and AI tool data:
- Pricing plans
instructions apply whenever you are working in this repository or using the
**ie-mcp** MCPserver from any workspace.
---
## Automatic ie-mcp usage for tracked packages
If the user asks
maintained, fully-cited
personal wiki in Google's [Open Knowledge Format](../docs/okf-reference.md), with an MCPserver so an
AI can search and read it. It implements Karpathy's LLM-Wiki
Copilot Instructions for seq-mcp
This repository is dedicated to building a Dockerized MCPserver that provides AI agents (for example Codex and Copilot) with controlled access to Datalust
have access to opencode-cli-mcp: it orchestrates opencode agent runs, sessions, and system diagnostics through opencode serve.
**Before starting work:**
1. Check server status: opencode_system(action="status
GitHub Copilot Instructions
You are assisting on a TypeScript Model Context Protocol (MCP) server template project.
## Project goals
- Build a reliable, composable, production-minded MCPserver baseline.
- Keep the MCP
Mind Map MCP — Code Memory Engine (v1.4.0)
You have the AI Mind Map MCPserver connected. It is a persistent code memory system that eliminates redundant file re-reading