connect-mcp-server
ronnycoding/.claude
Руководство по подключению серверов MCP (Model Context Protocol) к Claude Code с использованием транспортных протоколов HTTP, stdio и SSE. В нем рассматриваются вопросы установки, настройки, аутентификации, переменных среды и безопасности. Используйте данное руководство, если пользователь хочет подключить серверы MCP, добавить интеграции, настроить внешние сервисы или упоминает MCP, серверы, интеграции или внешние инструменты.
...Расширить всеО connect-mcp-server
Скилл `connect-mcp-server` обеспечивает беспроблемную интеграцию серверов MCP (Model Context Protocol) с Claude Code, предоставляя стандартизированный метод подключения ИИ-помощников к внешним сервисам и источникам данных. Этот скилл решает проблему доступа к инструментам, ресурсам и подсказкам с различных платформ и управления ими без необходимости сложной ручной настройки. Благодаря поддержке транспортных протоколов HTTP, stdio и (устаревшего) SSE он позволяет пользователям эффективно подключаться как к локальным, так и к удаленным серверам, оптимизируя взаимодействие с API, базами данных и инструментами повышения продуктивности.
Ключевые особенности этого навыка включают гибкие варианты транспортных протоколов, позволяющие устанавливать соединения через HTTP для облачных сервисов, stdio для локальных серверов и SSE для устаревших сценариев использования. Он предоставляет команды для добавления серверов, настройки заголовков аутентификации или переменных среды, а также для тестирования соединений с целью обеспечения правильной настройки. Пользователи могут получить доступ к инструментам, ресурсам и подсказкам, предоставляемым MCP, через Claude Code с помощью простых префиксов, что обеспечивает беспроблемное выполнение таких задач, как создание задач в GitHub, управление страницами Notion или взаимодействие с пользовательскими API. Скилл поддерживает аутентификацию по OAuth 2.0, интеграцию с локальной системой и автономную работу с локальными серверами, обеспечивая всестороннее покрытие различных сценариев разработки и эксплуатации.
Этот навык идеально подходит для разработчиков, инженеров по данным и энтузиастов ИИ, которым необходимо интегрировать внешние сервисы в рабочие процессы Claude Code. Он поддерживает области действия на уровне проекта, на уровне пользователя и локальные области, удовлетворяя различным требованиям к совместной работе и развертыванию. Среди вариантов использования — автоматизация задач управления проектами, извлечение и обновление данных из подключённых сервисов, интеграция с проприетарными API, а также использование утилит локальной системы для расширения возможностей ИИ. Упрощая подключение к серверам MCP, этот навык позволяет пользователям расширять функциональность Claude Code и оптимизировать рабочие процессы на основе ИИ на различных платформах.
Часто задаваемые вопросы
Какой метод передачи данных следует использовать для удалённого сервиса?
Для удаленных облачных сервисов рекомендуется использовать HTTP-транспорт, так как он поддерживает JSON-RPC, работает в сетях и включает поддержку OAuth 2.0.
Можно ли запустить сервер MCP локально без доступа к сети?
Да, транспорт stdio позволяет запускать локальные серверы с прямым доступом к системе и возможностью работы в автономном режиме.
Как пройти аутентификацию на сервере MCP, требующем ключа API или токена?
Вы можете предоставить учетные данные с помощью HTTP-заголовков для HTTP-серверов или переменных среды для серверов stdio. Аутентификацию OAuth можно выполнить с помощью команды `/mcp` в Claude Code.
По-прежнему поддерживается транспорт SSE?
Транспорт SSE устарел, и для новых интеграций вместо него рекомендуется использовать HTTP-серверы.
Требуется ли специальная настройка для Windows при использовании локальных серверов?
Да, при использовании команд npx в Windows их следует обернуть в `cmd /c` и использовать разделитель `--` перед указанием команды.
Connect MCP Server Guide
This skill helps you connect MCP (Model Context Protocol) servers to Claude Code, enabling integrations with external services like GitHub, Notion, databases, project management tools, and custom APIs.
Quick Start
When connecting an MCP server, follow this workflow:
- Identify the server - Which service do you want to integrate?
- Choose transport - HTTP (remote), stdio (local), or SSE (deprecated)
- Gather credentials - API keys, tokens, or OAuth requirements
- Select scope - Local (default), project (.mcp.json), or user (cross-project)
- Add server - Use
claude mcp addcommand - Authenticate - Use
/mcpin Claude Code for OAuth - Test connection - Verify server status and available tools
- Use resources/prompts - Access via
@and/prefixes
What is MCP?
Model Context Protocol (MCP) is a standard for connecting AI assistants to external services and data sources. MCP servers provide:
- Tools: Functions Claude can execute (e.g., create GitHub issue)
- Resources: Data Claude can reference (e.g., @github:issue://123)
- Prompts: Pre-built commands (e.g., /mcp__github__review-pr)
Transport Protocols
1. HTTP Servers (Recommended)
Best for: Remote cloud-based servicesProtocol: HTTP/HTTPS with JSON-RPC
Basic syntax:
claude mcp add --transport http <name> <url>
Examples:
Notion integration:
claude mcp add --transport http notion https://mcp.notion.com/mcp
GitHub integration:
claude mcp add --transport http github https://mcp.github.com
Custom API with authentication:
claude mcp add --transport http secure-api https://api.example.com/mcp \ --header "Authorization: Bearer your-token-here"Multiple headers:
claude mcp add --transport http api https://api.example.com/mcp \ --header "Authorization: Bearer token" \ --header "X-API-Version: v2"
Advantages:
- No local installation required
- Works across networks
- Managed by service provider
- Automatic updates
- OAuth 2.0 support
2. Stdio Servers (Local)
Best for: Local tools requiring system accessProtocol: Standard input/output (stdin/stdout)
Basic syntax:
claude mcp add --transport stdio <name> <command> [args...]
Examples:
Using npx (recommended for Node.js servers):
claude mcp add --transport stdio filesystem -- npx -y @modelcontextprotocol/server-filesystem /path/to/allowed/directory
With environment variables:
claude mcp add --transport stdio airtable \ --env AIRTABLE_API_KEY=your-key-here \ -- npx -y airtable-mcp-server
Direct executable:
claude mcp add --transport stdio custom-server -- /usr/local/bin/my-server --arg1 value1
Windows-specific (requires cmd /c wrapper):
claude mcp add --transport stdio github-local -- cmd /c npx -y @modelcontextprotocol/server-github
Python server:
claude mcp add --transport stdio python-server -- python3 /path/to/server.py
Advantages:
- Direct file system access
- No network latency
- Full control over installation
- Works offline
- Can integrate system utilities
Important notes:
- The
--separator is required before the command - Use
-yflag with npx to auto-install - Windows requires
cmd /cwrapper for npx
3. SSE Servers (Deprecated)
Status: Deprecated - use HTTP servers instead
Syntax (if needed):
claude mcp add --transport sse <name> <url>
Note: SSE (Server-Sent Events) transport is being phased out. Migrate to HTTP servers where available.
Configuration Scopes
Local Scope (Default)
Storage: User settings (not shared)Use for: Personal project-specific servers
claude mcp add --transport http notion https://mcp.notion.com/mcp
No --scope flag means local scope.
Project Scope
Storage: .mcp.json in project root (shared via git)Use for: Team-wide integrations
claude mcp add --transport http github https://mcp.github.com --scope project
Creates: .mcp.json file:
{ "mcpServers": { "github": { "type": "http", "url": "https://mcp.github.com" } }}Important: Claude Code prompts for approval before using project-scoped servers from .mcp.json files for security.
User Scope
Storage: User settings (cross-project)Use for: Servers you use across all projects
claude mcp add --transport stdio filesystem \ --scope user \ -- npx -y @modelcontextprotocol/server-filesystem ~/DocumentsAvailable in all projects on your machine.
Manual Configuration (.mcp.json)
HTTP Server Configuration
{ "mcpServers": { "github": { "type": "http", "url": "https://mcp.github.com", "headers": { "Authorization": "Bearer ${GITHUB_TOKEN}", "X-Custom-Header": "value" } }, "notion": { "type": "http", "url": "https://mcp.notion.com/mcp" } }}Stdio Server Configuration
{ "mcpServers": { "filesystem": { "type": "stdio", "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/directory" ] }, "postgres": { "type": "stdio", "command": "npx", "args": ["-y", "@modelcontextprotocol/server-postgres"], "env": { "POSTGRES_CONNECTION_STRING": "${DATABASE_URL}" } }, "custom-python": { "type": "stdio", "command": "python3", "args": ["/path/to/server.py", "--config", "config.json"], "env": { "PYTHONPATH": "/custom/python/path", "API_KEY": "${MY_API_KEY}" } } }}Complete Example with Multiple Servers
{ "mcpServers": { "github": { "type": "http", "url": "https://mcp.github.com", "headers": { "Authorization": "Bearer ${GITHUB_TOKEN}" } }, "filesystem": { "type": "stdio", "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-filesystem", "${HOME}/projects" ] }, "postgres": { "type": "stdio", "command": "npx", "args": ["-y", "@modelcontextprotocol/server-postgres"], "env": { "POSTGRES_CONNECTION_STRING": "${DATABASE_URL:-postgresql://localhost:5432/mydb}" } }, "slack": { "type": "http", "url": "https://mcp.slack.com", "headers": { "Authorization": "Bearer ${SLACK_TOKEN}" } } }}Environment Variables
Variable Expansion
Claude Code supports environment variable expansion:
Syntax:
${VAR}- Expands to environment variable value${VAR:-default}- Uses default if variable not set
Supported locations:
- Command paths
- Arguments
- Environment settings
- HTTP headers
Examples:
{ "mcpServers": { "api": { "type": "http", "url": "https://api.example.com/mcp", "headers": { "Authorization": "Bearer ${API_TOKEN}", "X-Environment": "${ENVIRONMENT:-production}" } }, "local-server": { "type": "stdio", "command": "${HOME}/bin/my-server", "args": ["--config", "${CONFIG_PATH:-/etc/server.conf}"], "env": { "LOG_LEVEL": "${LOG_LEVEL:-info}", "DATA_DIR": "${DATA_DIR}" } } }}Setting Environment Variables
macOS/Linux (.bashrc, .zshrc):
export GITHUB_TOKEN="ghp_your_token_here"export DATABASE_URL="postgresql://user:pass@localhost:5432/db"export API_KEY="your-api-key"
Windows (PowerShell):
$env:GITHUB_TOKEN = "ghp_your_token_here"$env:DATABASE_URL = "postgresql://user:pass@localhost:5432/db"
Session-specific:
# Set variable before running Claude CodeGITHUB_TOKEN=token DATABASE_URL=url claudeAuthentication
OAuth 2.0 (Recommended)
Many cloud-based MCP servers use OAuth 2.0:
Process:
- Add server (no credentials needed initially)
- Start Claude Code
- Type
/mcpcommand - Follow browser login flow
- Tokens stored securely and auto-refreshed
Example:
# Add GitHub serverclaude mcp add --transport http github https://mcp.github.com# In Claude Code session/mcp# Opens browser for GitHub authentication
API Token Authentication
For services using API tokens:
Via header:
claude mcp add --transport http service https://api.example.com/mcp \ --header "Authorization: Bearer your-token"Via environment variable:
# Set environment variableexport SERVICE_TOKEN="your-token"# Add server with variable referenceclaude mcp add --transport http service https://api.example.com/mcp \ --header "Authorization: Bearer ${SERVICE_TOKEN}"
No Authentication
Public or local servers:
claude mcp add --transport http public https://public-api.example.com/mcp
Server Management Commands
List All Servers
claude mcp list
Output:
Configured MCP servers: github (http) - https://mcp.github.com filesystem (stdio) - npx -y @modelcontextprotocol/server-filesystem postgres (stdio) - npx -y @modelcontextprotocol/server-postgresGet Server Details
claude mcp get github
Output:
{ "type": "http", "url": "https://mcp.github.com", "headers": { "Authorization": "Bearer ..." }}Remove Server
claude mcp remove github
Reset Project Approval Choices
claude mcp reset-project-choices
Clears your approval decisions for project-scoped servers.
Check Server Status (In Claude Code)
/mcpShows:
- Connected servers
- Authentication status
- Available tools and resources
Using MCP Resources
Reference Resources with @
Type @ in Claude Code to see available resources:
Format:
@server:protocol://resource/pathExamples:
GitHub issue:
Review the implementation in @github:issue://123Notion page:
Summarize @notion:page://abc123def456File from filesystem server:
Compare @filesystem:file:///project/src/old.js with current implementationDatabase table:
Analyze schema for @postgres:table://usersUsing MCP Prompts
Execute Prompts with /
Type / to discover MCP prompts:
Format:
/mcp__servername__promptname [arguments]Examples:
GitHub PR review:
/mcp__github__review-pr 123Notion page creation:
/mcp__notion__create-page "Project Ideas" "Brainstorming session notes"Database query:
/mcp__postgres__query "SELECT * FROM users WHERE active = true"Output Limits
Default Limits
- Warning threshold: 10,000 tokens
- Default maximum: 25,000 tokens
Configure Output Limit
# Allow larger outputs (50,000 tokens)export MAX_MCP_OUTPUT_TOKENS=50000claude# Or inlineMAX_MCP_OUTPUT_TOKENS=50000 claude
Use when:
- Server returns large datasets
- Processing extensive documents
- Analyzing comprehensive logs
Timeout Configuration
MCP Server Startup Timeout
# 10-second timeout (default is 5 seconds)MCP_TIMEOUT=10000 claudeUse when:
- Server initialization is slow
- Network latency is high
- Complex server setup required
Popular MCP Servers
Official MCP Servers
GitHub:
claude mcp add --transport http github https://mcp.github.com
Tools: Create issues, review PRs, manage repositories
Filesystem:
claude mcp add --transport stdio filesystem -- npx -y @modelcontextprotocol/server-filesystem ~/DocumentsTools: Read/write files, search directories
PostgreSQL:
claude mcp add --transport stdio postgres \ --env POSTGRES_CONNECTION_STRING=postgresql://localhost:5432/db \ -- npx -y @modelcontextprotocol/server-postgres
Tools: Query database, analyze schema
Slack:
claude mcp add --transport http slack https://mcp.slack.com
Tools: Send messages, search history, manage channels
Google Drive:
claude mcp add --transport http gdrive https://mcp.google.com/drive
Tools: Access files, search documents, manage folders
Brave Search:
claude mcp add --transport stdio brave-search \ --env BRAVE_API_KEY=your-key \ -- npx -y @modelcontextprotocol/server-brave-search
Tools: Web search, fact-checking
Git:
claude mcp add --transport stdio git -- npx -y @modelcontextprotocol/server-git
Tools: Repository operations, commit history, diff analysis
Sentry:
claude mcp add --transport http sentry https://mcp.sentry.io \ --header "Authorization: Bearer ${SENTRY_TOKEN}"Tools: Error monitoring, stack trace analysis
Linear:
claude mcp add --transport http linear https://mcp.linear.app
Tools: Issue tracking, project management
Notion:
claude mcp add --transport http notion https://mcp.notion.com/mcp
Tools: Page creation, database queries, content search
Community MCP Servers
Airtable:
claude mcp add --transport stdio airtable \ --env AIRTABLE_API_KEY=your-key \ -- npx -y airtable-mcp-server
MongoDB:
claude mcp add --transport stdio mongodb \ --env MONGODB_URI=mongodb://localhost:27017 \ -- npx -y mongodb-mcp-server
Redis:
claude mcp add --transport stdio redis \ --env REDIS_URL=redis://localhost:6379 \ -- npx -y redis-mcp-server
AWS:
claude mcp add --transport stdio aws \ --env AWS_PROFILE=default \ -- npx -y aws-mcp-server
Enterprise MCP Configuration
Managed MCP Servers
Administrators can deploy centralized configurations:
macOS:
/Library/Application Support/ClaudeCode/managed-mcp.jsonWindows:
C:\ProgramData\ClaudeCode\managed-mcp.jsonLinux:
/etc/claude-code/managed-mcp.jsonAllowlists/Denylists
managed-settings.json:
{ "mcpServers": { "allowlist": ["github", "slack", "notion"], "denylist": ["unapproved-server"] }}Controls which servers users can configure.
Security Considerations
Trust Verification
CRITICAL WARNING: "Use third party MCP servers at your own risk - Anthropic has not verified the correctness or security of all these servers."
Before installing:
- Verify server source (official vs community)
- Review server code if open source
- Check reputation and reviews
- Understand data access requirements
- Review authentication requirements
Prompt Injection Risks
Servers that fetch untrusted content (web search, user input) can expose Claude to prompt injection attacks.
Mitigation:
- Use servers from trusted sources
- Limit server permissions
- Review server behavior regularly
- Monitor for unexpected actions
Credential Management
Best practices:
- Use environment variables for secrets
- Never commit tokens to git (.mcp.json with ${VAR})
- Rotate credentials regularly
- Use least-privilege access tokens
- Enable OAuth when available
Bad practice:
{ "mcpServers": { "api": { "headers": { "Authorization": "Bearer hardcoded-token-123" } } }}Good practice:
{ "mcpServers": { "api": { "headers": { "Authorization": "Bearer ${API_TOKEN}" } } }}Project-Scoped Server Approval
Claude Code prompts before using servers from .mcp.json:
Prompt:
This project wants to connect to the following MCP servers:- github (https://mcp.github.com)- filesystem (local file access)Do you trust these servers?[Allow for this session] [Always allow] [Never allow]Review before approving:
- Server purpose and source
- Data access requirements
- Team trustworthiness
- Security implications
Troubleshooting
Server Not Appearing
Check configuration:
claude mcp listclaude mcp get server-name
Verify:
- Server name is correct
- Configuration syntax is valid
- Environment variables are set
- Server is running (stdio)
Authentication Failing
For OAuth:
/mcpRe-authenticate through browser
For API tokens:
- Verify environment variable is set:
echo $TOKEN_NAME - Check token hasn't expired
- Verify token permissions
Connection Timeout
Increase timeout:
MCP_TIMEOUT=15000 claude
Check:
- Network connectivity
- Server URL is correct
- Server is running and accessible
Tools Not Available
Verify server is connected:
/mcpCheck:
- Server status shows as connected
- Authentication is complete
- Server supports expected tools
Large Output Truncated
Increase output limit:
MAX_MCP_OUTPUT_TOKENS=50000 claude
Alternative:
- Request smaller data chunks
- Use server filtering options
- Paginate results
Windows npx Issues
Use cmd /c wrapper:
claude mcp add --transport stdio server -- cmd /c npx -y package-name
Testing MCP Servers
1. Verify Server Added
claude mcp list
Confirm server appears in the list.
2. Check Server Details
claude mcp get server-name
Verify configuration is correct.
3. Test in Claude Code
Start Claude Code and run:
/mcpConfirm:
- Server shows as connected
- Authentication status is OK
- Tools are available
4. Test Resources
Type @ and verify server resources appear:
@server-name:5. Test Prompts
Type / and verify server prompts appear:
/mcp__server-name__6. Execute Test Command
Try a simple server operation:
/mcp__github__list-reposCommon Use Cases
Development Workflow
GitHub + Filesystem + Git:
# GitHub for issues and PRsclaude mcp add --transport http github https://mcp.github.com# Filesystem for project accessclaude mcp add --transport stdio filesystem -- npx -y @modelcontextprotocol/server-filesystem ~/projects# Git for version controlclaude mcp add --transport stdio git -- npx -y @modelcontextprotocol/server-git
Usage:
- Review code from @filesystem:file://
- Reference issues with @github:issue://
- Check git history with /mcp__git__log
Database Administration
PostgreSQL + MongoDB:
# PostgreSQLclaude mcp add --transport stdio postgres \ --env POSTGRES_CONNECTION_STRING=${DATABASE_URL} \ -- npx -y @modelcontextprotocol/server-postgres# MongoDBclaude mcp add --transport stdio mongodb \ --env MONGODB_URI=${MONGO_URL} \ -- npx -y mongodb-mcp-server
Usage:
- Query data:
/mcp__postgres__query "SELECT ..." - Analyze schema: @postgres:schema://table_name
- Monitor collections: @mongodb:collection://users
Project Management
Linear + Slack + Notion:
# Linear for issuesclaude mcp add --transport http linear https://mcp.linear.app# Slack for communicationclaude mcp add --transport http slack https://mcp.slack.com# Notion for documentationclaude mcp add --transport http notion https://mcp.notion.com/mcp
Usage:
- Create issues:
/mcp__linear__create-issue - Send updates:
/mcp__slack__send-message - Reference docs: @notion:page://abc123
Error Monitoring
Sentry + Logs:
# Sentry for error trackingclaude mcp add --transport http sentry https://mcp.sentry.io \ --header "Authorization: Bearer ${SENTRY_TOKEN}"# Custom log serverclaude mcp add --transport stdio logs -- python3 ~/mcp-servers/log-analyzer.py
Usage:
- Analyze errors: @sentry:issue://ERROR-123
- Search logs:
/mcp__logs__search "authentication failed"
Best Practices Checklist
When connecting an MCP server:
- Server source is trusted and verified
- Transport type matches use case (HTTP for remote, stdio for local)
- Scope is appropriate (local/project/user)
- Credentials use environment variables (not hardcoded)
- Authentication is configured (OAuth or API token)
- Server name is descriptive and unique
- Environment variables are set before adding server
- Configuration is tested (
claude mcp list,/mcp) - Resources and prompts are accessible (@ and /)
- Team is informed (for project-scoped servers)
- Security implications reviewed
- .mcp.json is committed to git (project scope)
- Secrets are NOT committed to git
Key Principles
- Trust first - Only install servers from verified sources
- Environment variables - Use ${VAR} for secrets, never hardcode
- Scope appropriately - Local for personal, project for team, user for cross-project
- OAuth when possible - Prefer OAuth over API tokens for security
- Test thoroughly - Verify connection and tools before relying on server
- Document for team - Explain server purpose in project README
- Monitor access - Review what data servers can access
- Keep updated - Update servers regularly for security patches
- Least privilege - Grant minimum necessary permissions
- Review regularly - Audit configured servers periodically
Workflow Summary
When user asks to connect an MCP server:
- Identify server - Which service/integration is needed?
- Find installation method - Official docs, GitHub, or custom
- Choose transport - HTTP (remote) or stdio (local)?
- Gather credentials - API keys, OAuth setup, connection strings
- Set environment variables - Export secrets before adding server
- Select scope - Local (default), project (team), or user (cross-project)
- Add server - Use
claude mcp addcommand - Verify configuration -
claude mcp listandclaude mcp get - Test connection -
/mcpin Claude Code session - Use server - Access resources (@) and prompts (/)
Remember: MCP servers extend Claude's capabilities by connecting to external services. Always verify server trust, use environment variables for secrets, and test thoroughly before relying on server integrations.
Установить connect-mcp-server
Скачайте файлы навыков и распакуйте их в каталог .claude/skills/.
Скачать ZIPКлонируйте репозиторий и скопируйте файлы навыка в свой проект.
git clone https://github.com/ronnycoding/.claude/blob/main/skills/connect-mcp-server/SKILL.md # Copy SKILL.md to your .claude/skills/ directory
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