mcp-ecosystem

mcp-ecosystem is a skill for Claude Code, Codex from drvoss/everything-copilot-cli. It costs 65 tokens per session (3,203 once invoked), scanned A, original, MIT.

Instructions for adding Model Context Protocol servers to Copilot CLI, GitHub’s command-line coding assistant. MCP servers connect an agent to services such as PostgreSQL, Redis, Jira, Slack, or internal APIs.

In plain words
What is it for?
It helps add, inspect, and configure custom MCP connections for databases, project-management tools, chat services, and internal systems.
Why use it?
It fills the gap when Copilot CLI’s built-in GitHub tools do not provide access to another service. It also explains where shared and workspace-specific MCP settings belong.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/drvoss/everything-copilot-cli/mcp-ecosystem
Any agent
npx skills add drvoss/everything-copilot-cli --skill mcp-ecosystem
Clone the repo
git clone --depth 1 https://github.com/drvoss/everything-copilot-cli

Made for: Claude Code, Codex.

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,203 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00065 $0.03203
Opus 5 $0.00032 $0.01602
Sonnet 5 $0.00013 $0.00641
Haiku 4.5 $0.00006 $0.00320

Measured 3d ago against content hash 3fc3f5e3e683, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-ecosystem scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/copilot-exclusive/mcp-ecosystem/SKILL.md · 387 lines

How it starts

The opening of the file, as written. The whole thing — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Server Ecosystem

Why This is Copilot-Exclusive

Copilot CLI ships with a built-in GitHub MCP server providing 20+ tools for Issues, PRs, Actions, code search, and repository management — zero configuration required. Beyond that, it has a practical MCP management flow through copilot mcp add, copilot mcp list, copilot mcp get, user config at ~/.copilot/mcp-config.json, workspace config in .mcp.json, and plugin-provided MCP servers. Claude Code supports MCP but has no built-in GitHub server and a different configuration workflow.

When to Use

  • Adding domain-specific tools that the built-in GitHub MCP does not cover, such as PostgreSQL, Redis, Jira, Slack, or an internal feature-flag API
  • Creating MCP bridges to internal systems or external SaaS tools outside the default GitHub workflow
  • Sharing custom MCP configurations across Copilot CLI and VS Code
  • Building specialized AI workflows that need custom tools beyond the built-in GitHub MCP

When NOT to Use

Instead of mcp-ecosystem Use
Reading GitHub issues, PRs, Actions, or repository metadata already covered by the built-in MCP Use the built-in GitHub MCP tools directly
Reviewing PRs, checking CI failures, or searching repository code Use the built-in GitHub MCP and normal repo tools directly
Pure code search, code review, or coding tasks with no external service dependency Use the normal repo tools or the most relevant skill for that task
Adding an untrusted third-party server without validating permissions and secret handling Review the server first and prefer least-privilege configuration

Common MCP Candidates

These are the kinds of services that usually justify this skill:

  • PostgreSQL or MySQL databases
  • Redis or other cache/data stores
  • Internal REST or GraphQL APIs
  • Jira, Slack, Notion, or other external SaaS tools

Workflow

1. Built-In GitHub MCP (Zero Config)

These tools work immediately — no setup required. Check this built-in coverage first before adding a custom MCP server:

Read the full file on GitHub · 387 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 387 lines · 65 tokens per session scan A 3fc3f5e3e683

Subscribe to this mod's changes

mcp-ecosystem is a skill published in the GitHub repository drvoss/everything-copilot-cli (45 stars, last pushed 7d ago), licensed MIT. It adds 65 tokens to every session and 3,203 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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