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MCP Servers (official)

Standard plug-in tools for agents.

Gives a local agent hands: files, git and more.

—PENDING
Gap ScorePending test on Mac Studio

Used inAn agent that does tasks

Where it sits
Want it installed?Hand this page to your agent.
.md .json
Let your agent do itNot run · docs checked
curl -fsSL https://insidethemachine.ai/install/mcp-servers.sh | bash
macOS and Linux
Plan, check, undo

Add -s -- plan to print every step and run nothing, verify to only check, rollback --yes to undo. Not run: commands checked against the official docs only. Commands checked against the official docs on 2026-10-15. Not run end to end.

AGENT VIEW · text/markdown · or send Accept: text/markdown
---
schema: "https://insidethemachine.ai/schema/listing.schema.json"
slug: "mcp-servers"
name: "MCP Servers (official)"
category: "MCP / Tools"
stack_layer: "tools"
homepage: "https://modelcontextprotocol.io/"
repo: "https://github.com/modelcontextprotocol/servers"
docs: "https://modelcontextprotocol.io/"
license: "See repo LICENSE (GitHub reports NOASSERTION)"
platforms: ["macos-apple-silicon", "linux", "windows"]
mac_studio_fit: "Primary"
stars: 91283
stars_as_of: "2026-10-15"
last_push: "2026-10-13"
gap_score: null
gap_score_status: "pending test on Mac Studio"
benchmarks_status: "pending test on Mac Studio"
verified_on: "2026-10-15"
sponsored: false
---

# MCP Servers (official)

> Reference Model Context Protocol servers: memory, git, filesystem and more, ready to plug into any MCP client.

**What:** Standard plug-in tools for agents. **Why:** Gives a local agent hands: files, git and more.

**Stack layer:** tools (model → runtime → harness → memory → tools)

The official collection of reference MCP server implementations. TypeScript servers run via npx, Python servers via uvx or pip.

**Gap role:** Tool use: gives local agents the same standardized tools (files, git, memory, fetch) frontier assistants use.

## Gap Score

null (pending test on Mac Studio)

## Prerequisites

- Node.js (for npx servers)
- uv/uvx (brew install uv) for Python servers
- An MCP-capable client

## Install

### macOS (Apple Silicon)

1. Run:

```bash
brew install node uv
```

2. runs the Memory server (stdio):

```bash
npx -y @modelcontextprotocol/server-memory
```

3. runs the Git server; or: pip install mcp-server-git && python -m mcp_server_git:

```bash
uvx mcp-server-git
```

## Configure

1. the README's client example uses Claude Desktop; other clients use the same command/args shape:

```bash
# add to your MCP client's config, e.g.
{
  "mcpServers": {
    "memory": {"command": "npx", "args": ["-y", "@modelcontextprotocol/server-memory"]}
  }
}
```

## Verify

1. Expect: MCP Inspector opens in your browser and lists the server's tools

```bash
npx @modelcontextprotocol/inspector npx -y @modelcontextprotocol/server-memory
```

## Rollback

1. Run:

```bash
# remove the server entry from your MCP client config and restart the client
```

2. Run:

```bash
npm cache clean --force   # optional, clears npx downloads
```

## One-command install

Status: docs-checked (Not run: commands checked against the official docs only). The wrapper scripts are generated from the site data. Every .sh passed bash -n and shellcheck and ran in plan mode on Linux (Debian 13). Every .ps1 passed the PowerShell parser and chat.ps1 ran in plan, verify and rollback mode under PowerShell 7 on Linux with Windows calls mocked. Not run on macOS or real Windows.

```bash
curl -fsSL https://insidethemachine.ai/install/mcp-servers.sh | bash            # install, then check
curl -fsSL https://insidethemachine.ai/install/mcp-servers.sh | bash -s -- plan    # print only
curl -fsSL https://insidethemachine.ai/install/mcp-servers.sh | bash -s -- rollback --yes
```

Details and Windows: https://insidethemachine.ai/install/mcp-servers.md

## Caveats

- Reference servers are examples, not hardened production services; review each server's README.

## Benchmarks

Status: pending test on Mac Studio. Rig: Mac Studio, Apple Silicon, 128GB unified memory. No results published yet.

## Works with

- agents-md (https://insidethemachine.ai/setups/agents-md.md)

## Sources

- https://github.com/modelcontextprotocol/servers
- https://modelcontextprotocol.io/