Tool Connections & Integrations · Preview

servers

Model Context Protocol Servers

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can domcp_config, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot85k stars

11k forks · 1.0k contributors

Official first step Read manual preview Source repository

Preview status · 2026-05-16

What is servers?

The Model Context Protocol (MCP) Servers repository is the official collection of reference implementations for MCP servers. MCP is a protocol that enables AI models to interact with exter...
Best fit: Users who want source-backed project understanding before installing it.
Capability added to an AI workflow: mcp_config, recipe, host_instruction, eval, preflight
Evidence base: https://github.com/modelcontextprotocol/servers, https://github.com/modelcontextprotocol/servers, https://github.com/modelcontextprotocol/servers#readme
Preview pages are noindex until English quality, canonical, and citation gates pass.
servers still needs sandbox verification before production use.

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilitymcp_config, recipe, host_instruction, eval, preflight

Model Context Protocol Servers

Repositorymodelcontextprotocol/servers

85k stars · 11k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Home

Related topics: Repository Structure, Quick Start Guide

Sources: [CLAUDE.md:1]()

Repository Structure

Quick Start Guide

Everything Server

Related topics: Filesystem Server, Memory Server

Sources: [src/everything/README.md]()

Filesystem Server

Related topics: Everything Server, Git Server

Sources: [src/filesystem/README.md:1-10]()

Sources: https://github.com/modelcontextprotocol/servers, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars85k stars

Forks11k forks

Contributors1.0k contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using servers with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
The filesystem server stopped working with the OpenAI Agent SDK.
github / github_issue
02
Filesystem extension: Frequent timeout or outright failures since claude
github / github_issue
03
filesystem MCP server doesn't support legal Windows pathnames in claude_
github / github_issue
04
Latest release of @modelcontextprotocol/server-filesystem is not on npmj
github / github_issue
05
Filesystem server canonicalizes configured Windows mapped-drive paths to
github / github_issue
06
Add baselings-mcp — 42 DeFi tools for Base chain (swaps, reactor burns,
github / github_issue
07
confusing documentation
github / github_issue
08
memory: safer persistence defaults, atomic writes, quotas, redaction, an
github / github_issue
09
puppeteer: update old MCP SDK and add browser-automation guardrails by d
github / github_issue
10
Reference implementation: self-evolving macOS MCP server (Swift, 71 tool
github / github_issue
11
Schema quality: missing property descriptions across official MCP server
github / github_issue
12
A curated list of Model Context Protocol (MCP) servers : r/ClaudeAI
reddit / searxng_indexed

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npx -y @modelcontextprotocol/server-memory

Official start command · https://github.com/modelcontextprotocol/servers#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

servers Manual

The Model Context Protocol (MCP) Servers repository is the official collection of reference implementations for MCP servers. MCP is a protocol that enables AI models to interact with exter...

Open the full manual

servers Human Manual
Table of Contents
Home
Related Pages
Overview
Repository Architecture
Available MCP Servers
Server Comparison Table

Home

Related topics: Repository Structure, Quick Start Guide

Sources: [CLAUDE.md:1]()

Repository Structure

Quick Start Guide

Everything Server

Related topics: Filesystem Server, Memory Server

Sources: [src/everything/README.md]()

Filesystem Server

Related topics: Everything Server, Git Server

Sources: [src/filesystem/README.md:1-10]()

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start ManifestPROJECT_PACK.json

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
The preview remains noindex until English quality and reciprocal indexing gates are explicitly opened.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

no_demo

medium

Review upstream issue

no_demo

low

Review upstream issue

issue_or_pr_quality=unknown。

low

Review upstream issue

release_recency=unknown。