OpenClaw MCP Server

OpenClaw MCP Server

MCP server that exposes OpenClaw Gateway tools to Claude Code and other MCP clients, enabling messaging, session management, scheduling, node control, web search, memory search, and TTS.

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OpenClaw MCP Server

MCP (Model Context Protocol) server that exposes OpenClaw Gateway tools to Claude Code and other MCP-compatible clients.

Features

Gives Claude Code (and any MCP client) access to:

  • Messaging — Send messages via Telegram, WhatsApp, Discord, Slack, Signal, iMessage, Google Chat
  • Sessions — List, inspect, and communicate with other OpenClaw sessions
  • Scheduling — Create and manage cron jobs for automated tasks
  • Nodes — Control paired devices (notifications, camera, location, remote commands)
  • Web — Search and fetch web content
  • Memory — Search OpenClaw's memory files
  • TTS — Text-to-speech conversion
  • Gateway — Status and configuration access

Prerequisites

  • Node.js 18+
  • OpenClaw Gateway running locally (default: http://127.0.0.1:18789)
  • Gateway auth token (if configured)

Installation

# Clone and install
cd /path/to/openclaw-mcp-server
npm install
npm run build

# Or install globally
npm install -g .

Configuration

Environment Variables

Variable Description Default
OPENCLAW_GATEWAY_URL Gateway HTTP URL http://127.0.0.1:18789
OPENCLAW_GATEWAY_TOKEN Auth token (if required) (none)

Client Setup

The OpenClaw MCP server works with any MCP-compatible client. Below are configuration instructions for popular clients.

Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "openclaw": {
      "command": "node",
      "args": ["/absolute/path/to/openclaw-mcp-server/dist/index.js"],
      "env": {
        "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
      }
    }
  }
}

Note: Restart Claude Desktop after editing the configuration file.

Claude Code (CLI)

Add using the Claude Code CLI:

# Using the CLI
claude mcp add openclaw -- node /path/to/openclaw-mcp-server/dist/index.js

# Or with environment variables
claude mcp add openclaw -e OPENCLAW_GATEWAY_TOKEN=your-token -- node /path/to/openclaw-mcp-server/dist/index.js

Or manually edit ~/.claude/settings.json:

{
  "mcpServers": {
    "openclaw": {
      "command": "node",
      "args": ["/absolute/path/to/openclaw-mcp-server/dist/index.js"],
      "env": {
        "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
      }
    }
  }
}

Zed Editor

Add to your Zed settings file (open with Zed: Open Settings or edit ~/.config/zed/settings.json):

{
  "context_servers": {
    "openclaw": {
      "command": {
        "path": "node",
        "args": ["/absolute/path/to/openclaw-mcp-server/dist/index.js"]
      },
      "settings": {
        "env": {
          "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
        }
      }
    }
  }
}

Note: You may need to reload Zed after adding the configuration.

Cline (VSCode Extension)

  1. Open VSCode settings (Cmd/Ctrl + ,)
  2. Search for "Cline: MCP Servers"
  3. Click "Edit in settings.json"
  4. Add the OpenClaw server configuration:
{
  "cline.mcpServers": {
    "openclaw": {
      "command": "node",
      "args": ["/absolute/path/to/openclaw-mcp-server/dist/index.js"],
      "env": {
        "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
      }
    }
  }
}

Alternatively, use the Cline MCP settings UI:

  1. Open Cline panel
  2. Click the settings/gear icon
  3. Navigate to MCP Servers section
  4. Add server with command: node /absolute/path/to/openclaw-mcp-server/dist/index.js

Note: Reload VSCode window after configuration changes.

Windsurf Editor

Add to Windsurf's configuration file (~/.windsurf/settings.json or via Settings UI):

{
  "mcp.servers": {
    "openclaw": {
      "command": "node",
      "args": ["/absolute/path/to/openclaw-mcp-server/dist/index.js"],
      "env": {
        "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
      }
    }
  }
}

Or use the Windsurf Settings UI:

  1. Open Settings (Cmd/Ctrl + ,)
  2. Navigate to "MCP Servers"
  3. Click "Add Server"
  4. Enter server details:
    • Name: openclaw
    • Command: node
    • Args: /absolute/path/to/openclaw-mcp-server/dist/index.js
    • Environment variables: OPENCLAW_GATEWAY_TOKEN=your-token-here

Note: Restart Windsurf after adding the configuration.

Other MCP Clients

For any other MCP-compatible client, use the standard MCP server configuration format:

{
  "command": "node",
  "args": ["/absolute/path/to/openclaw-mcp-server/dist/index.js"],
  "env": {
    "OPENCLAW_GATEWAY_TOKEN": "your-token-here"
  }
}

Important Notes

  • Absolute Paths: Always use absolute paths (e.g., /Users/username/... or C:\Users\...) in configuration files, not relative paths or ~
  • Token Security: If your OpenClaw Gateway requires authentication, set the OPENCLAW_GATEWAY_TOKEN environment variable
  • Gateway URL: If your Gateway is not running on default http://127.0.0.1:18789, set OPENCLAW_GATEWAY_URL in the environment variables
  • Server Restart: Most clients require a restart or reload after changing MCP server configuration

Available Tools

Messaging

openclaw_message_send

Send a message via OpenClaw to various messaging platforms (Telegram, WhatsApp, Discord, Slack, Signal, iMessage, Google Chat).

Natural Language Examples:

  • "Send a Telegram message to @john saying 'Meeting at 3pm'"
  • "Message my team on Slack: 'Deploy is complete'"
  • "Send a silent notification to the dev channel on Discord"

Parameters:

  • message (string, required) - Message text to send
  • channel (string, optional) - Channel type: telegram, whatsapp, discord, slack, signal, imessage, googlechat
  • target (string, optional) - Target chat/user ID or name
  • replyTo (string, optional) - Message ID to reply to
  • silent (boolean, optional) - Send silently without notification

Example Input:

{
  "channel": "telegram",
  "target": "@username",
  "message": "Hello from OpenClaw!",
  "silent": false
}

Example Output:

{
  "success": true,
  "messageId": "msg_123456",
  "timestamp": "2026-02-02T10:30:00Z"
}

openclaw_message_broadcast

Broadcast a message to multiple targets across messaging platforms.

Natural Language Examples:

  • "Broadcast 'Server maintenance tonight at 10pm' to all my Telegram groups"
  • "Send a message to Alice, Bob, and Charlie on WhatsApp about the project update"
  • "Notify everyone in my contact list about the event"

Parameters:

  • message (string, required) - Message text to broadcast
  • targets (array of strings, required) - List of target IDs
  • channel (string, optional) - Channel type

Example Input:

{
  "channel": "telegram",
  "targets": ["@user1", "@user2", "@user3"],
  "message": "Important announcement for everyone!"
}

Example Output:

{
  "success": true,
  "sent": 3,
  "failed": 0,
  "results": [
    { "target": "@user1", "status": "delivered" },
    { "target": "@user2", "status": "delivered" },
    { "target": "@user3", "status": "delivered" }
  ]
}

Sessions

openclaw_sessions_list

List active OpenClaw sessions with optional filtering.

Natural Language Examples:

  • "Show me all active sessions from the last hour"
  • "List my Telegram sessions with their recent messages"
  • "What sessions have been active in the past 30 minutes?"

Parameters:

  • kinds (array of strings, optional) - Filter by session kinds/types
  • activeMinutes (number, optional) - Filter by activity within N minutes
  • limit (number, optional) - Maximum number of sessions to return
  • messageLimit (number, optional) - Include last N messages per session

Example Input:

{
  "activeMinutes": 60,
  "limit": 10,
  "messageLimit": 5
}

Example Output:

{
  "sessions": [
    {
      "sessionKey": "sess_abc123",
      "kind": "telegram",
      "label": "Main Chat",
      "active": true,
      "lastActivity": "2026-02-02T10:25:00Z",
      "messageCount": 127,
      "recentMessages": [
        { "role": "user", "content": "What's the weather?" },
        { "role": "assistant", "content": "Let me check..." }
      ]
    }
  ],
  "total": 1
}

openclaw_sessions_history

Fetch complete message history for a specific session.

Natural Language Examples:

  • "Show me the conversation history for session sess_abc123"
  • "Get the last 100 messages from my main session"
  • "Fetch the history with all tool calls for the Telegram session"

Parameters:

  • sessionKey (string, required) - Session key to fetch history for
  • limit (number, optional) - Maximum number of messages to return
  • includeTools (boolean, optional) - Include tool calls in history

Example Input:

{
  "sessionKey": "sess_abc123",
  "limit": 50,
  "includeTools": true
}

Example Output:

{
  "sessionKey": "sess_abc123",
  "messages": [
    {
      "timestamp": "2026-02-02T10:00:00Z",
      "role": "user",
      "content": "Search for OpenClaw documentation"
    },
    {
      "timestamp": "2026-02-02T10:00:05Z",
      "role": "assistant",
      "content": "I'll search for that...",
      "toolCalls": [
        { "tool": "web_search", "args": { "query": "OpenClaw documentation" } }
      ]
    }
  ],
  "total": 127
}

openclaw_sessions_send

Send a message to another active OpenClaw session.

Natural Language Examples:

  • "Ask Assistant-2 if they're done with the data analysis"
  • "Send a message to the monitoring session asking for current status"
  • "Tell the background session to pause its work"

Parameters:

  • message (string, required) - Message to send
  • sessionKey (string, optional) - Target session key
  • label (string, optional) - Target session label (alternative to sessionKey)
  • timeoutSeconds (number, optional) - Timeout for response

Example Input:

{
  "label": "Assistant-2",
  "message": "Can you help with the data analysis task?",
  "timeoutSeconds": 30
}

Example Output:

{
  "success": true,
  "response": "Sure, I'll start working on the data analysis right away.",
  "responseTime": 2.4
}

openclaw_sessions_spawn

Spawn a background sub-agent in an isolated session for autonomous task execution.

Natural Language Examples:

  • "Spawn a background agent to monitor server logs for errors"
  • "Create a sub-agent to research competitors and summarize findings in 30 minutes"
  • "Start an isolated session to handle customer support messages while I work on other tasks"

Parameters:

  • task (string, required) - Task description for the sub-agent
  • agentId (string, optional) - Specific agent ID to use
  • model (string, optional) - Model to use (e.g., "claude-sonnet-4")
  • label (string, optional) - Human-readable session label
  • runTimeoutSeconds (number, optional) - Maximum execution time

Example Input:

{
  "task": "Monitor the server logs and alert me if any errors occur in the next hour",
  "label": "Log Monitor",
  "model": "claude-sonnet-4",
  "runTimeoutSeconds": 3600
}

Example Output:

{
  "success": true,
  "sessionKey": "sess_xyz789",
  "label": "Log Monitor",
  "status": "running",
  "startTime": "2026-02-02T10:30:00Z"
}

Scheduling

openclaw_cron_list

List all scheduled cron jobs.

Natural Language Examples:

  • "Show me all my scheduled tasks"
  • "List all cron jobs including disabled ones"
  • "What automated tasks do I have set up?"

Parameters:

  • includeDisabled (boolean, optional) - Include disabled jobs in the list

Example Input:

{
  "includeDisabled": true
}

Example Output:

{
  "jobs": [
    {
      "id": "job_001",
      "name": "Daily Backup",
      "schedule": { "hour": 2, "minute": 0 },
      "enabled": true,
      "nextRun": "2026-02-03T02:00:00Z",
      "lastRun": "2026-02-02T02:00:00Z"
    },
    {
      "id": "job_002",
      "name": "Weekly Report",
      "schedule": { "dayOfWeek": 1, "hour": 9, "minute": 0 },
      "enabled": false
    }
  ],
  "total": 2
}

openclaw_cron_add

Create a new scheduled cron job.

Natural Language Examples:

  • "Schedule a daily backup at 2am"
  • "Create a cron job to send me weather updates every morning at 7am"
  • "Set up a weekly report to be generated every Monday at 9am"

Parameters:

  • job (object, required) - Job definition containing:
    • name (string) - Job name
    • schedule (object) - Schedule specification (minute, hour, dayOfWeek, etc.)
    • payload (object) - Task payload/configuration
    • sessionTarget (string) - Target session: main or isolated
    • enabled (boolean) - Whether job is enabled

Example Input:

{
  "job": {
    "name": "Morning Weather Alert",
    "schedule": {
      "hour": 7,
      "minute": 0
    },
    "payload": {
      "action": "send_message",
      "channel": "telegram",
      "message": "Good morning! Here's today's weather forecast."
    },
    "sessionTarget": "main",
    "enabled": true
  }
}

Example Output:

{
  "success": true,
  "jobId": "job_003",
  "nextRun": "2026-02-03T07:00:00Z"
}

openclaw_cron_remove

Delete a scheduled cron job.

Natural Language Examples:

  • "Delete the morning weather alert job"
  • "Remove cron job job_003"
  • "Cancel the daily backup task"

Parameters:

  • jobId (string, required) - Job ID to remove

Example Input:

{
  "jobId": "job_003"
}

Example Output:

{
  "success": true,
  "message": "Job job_003 removed successfully"
}

openclaw_cron_run

Trigger a cron job to run immediately, outside its scheduled time.

Natural Language Examples:

  • "Run the backup job now"
  • "Trigger the weekly report immediately"
  • "Execute job_001 right now"

Parameters:

  • jobId (string, required) - Job ID to execute

Example Input:

{
  "jobId": "job_001"
}

Example Output:

{
  "success": true,
  "executionId": "exec_12345",
  "startTime": "2026-02-02T10:30:00Z",
  "status": "completed",
  "result": "Backup completed successfully"
}

Nodes (Paired Devices)

openclaw_nodes_status

Get status information for all paired nodes (mobile devices, remote machines).

Natural Language Examples:

  • "Show me the status of all my connected devices"
  • "Which nodes are currently online?"
  • "What's my iPhone's battery level?"

Parameters: None

Example Input:

{}

Example Output:

{
  "nodes": [
    {
      "id": "node_iphone",
      "name": "iPhone 15 Pro",
      "type": "mobile",
      "platform": "ios",
      "online": true,
      "lastSeen": "2026-02-02T10:29:00Z",
      "battery": 87,
      "capabilities": ["camera", "location", "notifications"]
    },
    {
      "id": "node_laptop",
      "name": "MacBook Pro",
      "type": "computer",
      "platform": "macos",
      "online": true,
      "lastSeen": "2026-02-02T10:30:00Z"
    }
  ],
  "total": 2
}

openclaw_nodes_notify

Send a push notification to a paired node.

Natural Language Examples:

  • "Send a notification to my iPhone: 'Task completed successfully'"
  • "Alert my phone with high priority that the deployment is done"
  • "Notify all my devices that dinner is ready"

Parameters:

  • title (string, required) - Notification title
  • body (string, required) - Notification body/message
  • node (string, optional) - Node ID or name (defaults to all nodes)
  • priority (string, optional) - Priority level: passive, active, timeSensitive

Example Input:

{
  "node": "node_iphone",
  "title": "Task Complete",
  "body": "Your data analysis has finished processing.",
  "priority": "timeSensitive"
}

Example Output:

{
  "success": true,
  "delivered": true,
  "node": "node_iphone",
  "timestamp": "2026-02-02T10:30:00Z"
}

openclaw_nodes_camera_snap

Capture a photo from a node's camera.

Natural Language Examples:

  • "Take a picture with my iPhone's back camera"
  • "Snap a photo from both cameras on my phone"
  • "Capture a high-quality image from the front camera"

Parameters:

  • node (string, optional) - Node ID or name
  • facing (string, optional) - Camera to use: front, back, both
  • quality (number, optional) - Image quality 0-100

Example Input:

{
  "node": "node_iphone",
  "facing": "back",
  "quality": 85
}

Example Output:

{
  "success": true,
  "images": [
    {
      "camera": "back",
      "url": "https://openclaw.gateway/images/img_abc123.jpg",
      "size": 2456789,
      "timestamp": "2026-02-02T10:30:00Z"
    }
  ]
}

openclaw_nodes_location

Get current location from a paired node.

Natural Language Examples:

  • "Where is my iPhone right now?"
  • "Get the precise location of my phone"
  • "Show me the current location of node_iphone"

Parameters:

  • node (string, optional) - Node ID or name
  • desiredAccuracy (string, optional) - Accuracy level: coarse, balanced, precise

Example Input:

{
  "node": "node_iphone",
  "desiredAccuracy": "precise"
}

Example Output:

{
  "success": true,
  "location": {
    "latitude": 37.7749,
    "longitude": -122.4194,
    "accuracy": 10,
    "altitude": 52,
    "timestamp": "2026-02-02T10:30:00Z",
    "address": "San Francisco, CA"
  }
}

openclaw_nodes_run

Execute a command on a paired node.

Natural Language Examples:

  • "Run 'ls -la' on my laptop"
  • "Execute a git pull on the remote server"
  • "Check disk space on node_laptop by running 'df -h'"

Parameters:

  • command (array of strings, required) - Command and arguments to execute
  • node (string, optional) - Node ID or name
  • cwd (string, optional) - Working directory for command execution
  • timeoutMs (number, optional) - Command timeout in milliseconds

Example Input:

{
  "node": "node_laptop",
  "command": ["ls", "-la", "/home/user/projects"],
  "timeoutMs": 5000
}

Example Output:

{
  "success": true,
  "stdout": "total 48\ndrwxr-xr-x  6 user staff  192 Feb  2 10:00 .\ndrwxr-xr-x 12 user staff  384 Feb  1 09:00 ..\n...",
  "stderr": "",
  "exitCode": 0,
  "executionTime": 124
}

Web

openclaw_web_search

Search the web using the Brave Search API.

Natural Language Examples:

  • "Search the web for 'best TypeScript practices 2026'"
  • "Find recent articles about AI assistants from the past week"
  • "Look up OpenClaw documentation online"

Parameters:

  • query (string, required) - Search query
  • count (number, optional) - Number of results to return (1-10)
  • country (string, optional) - 2-letter country code for localized results
  • freshness (string, optional) - Time filter: pd (past day), pw (past week), pm (past month), py (past year)

Example Input:

{
  "query": "OpenClaw AI assistant",
  "count": 5,
  "freshness": "pm"
}

Example Output:

{
  "results": [
    {
      "title": "OpenClaw - Personal AI Assistant Platform",
      "url": "https://example.com/openclaw",
      "description": "OpenClaw is an advanced AI assistant platform...",
      "age": "2 days ago"
    },
    {
      "title": "Getting Started with OpenClaw",
      "url": "https://docs.example.com/openclaw/intro",
      "description": "Learn how to set up and use OpenClaw...",
      "age": "1 week ago"
    }
  ],
  "totalResults": 5
}

openclaw_web_fetch

Fetch and extract readable content from a URL.

Natural Language Examples:

  • "Fetch the content from https://example.com/article and extract it as markdown"
  • "Get the text from this blog post: https://blog.example.com/post"
  • "Download and summarize the article at this URL"

Parameters:

  • url (string, required) - URL to fetch
  • extractMode (string, optional) - Extraction format: markdown or text
  • maxChars (number, optional) - Maximum characters to return

Example Input:

{
  "url": "https://example.com/article",
  "extractMode": "markdown",
  "maxChars": 5000
}

Example Output:

{
  "success": true,
  "url": "https://example.com/article",
  "title": "Understanding AI Assistants",
  "content": "# Understanding AI Assistants\n\nAI assistants have revolutionized...",
  "length": 3456,
  "extracted": "2026-02-02T10:30:00Z"
}

Gateway & Utilities

openclaw_gateway_status

Get current status of the OpenClaw Gateway session.

Natural Language Examples:

  • "What's the status of my current session?"
  • "Show me the Gateway status"
  • "How long has this session been active?"

Parameters:

  • sessionKey (string, optional) - Specific session key to query

Example Input:

{
  "sessionKey": "sess_abc123"
}

Example Output:

{
  "sessionKey": "sess_abc123",
  "status": "active",
  "uptime": 3600,
  "messageCount": 127,
  "toolCallCount": 45,
  "lastActivity": "2026-02-02T10:30:00Z",
  "connectedNodes": 2
}

openclaw_gateway_config_get

Retrieve current Gateway configuration settings.

Natural Language Examples:

  • "Show me the Gateway configuration"
  • "What features are enabled in my Gateway?"
  • "Get the current Gateway settings"

Parameters: None

Example Input:

{}

Example Output:

{
  "version": "1.2.0",
  "config": {
    "maxSessions": 50,
    "enabledChannels": ["telegram", "slack", "discord"],
    "features": {
      "webSearch": true,
      "tts": true,
      "nodes": true
    }
  }
}

openclaw_tts

Convert text to speech audio.

Natural Language Examples:

  • "Convert 'Hello world' to speech"
  • "Generate an audio file saying 'The task is complete'"
  • "Create a voice message for Telegram saying 'Running late, be there soon'"

Parameters:

  • text (string, required) - Text to convert to speech
  • channel (string, optional) - Target channel for format optimization

Example Input:

{
  "text": "Hello, this is a text to speech test.",
  "channel": "telegram"
}

Example Output:

{
  "success": true,
  "audioUrl": "https://openclaw.gateway/audio/tts_xyz789.mp3",
  "duration": 3.2,
  "format": "mp3",
  "size": 51200
}

openclaw_memory_search

Search OpenClaw's memory files using semantic search.

Natural Language Examples:

  • "Search my memory for conversations about the weather"
  • "Find any mentions of project deadlines from last week"
  • "Look up what we discussed about the deployment process"

Parameters:

  • query (string, required) - Search query
  • maxResults (number, optional) - Maximum number of results to return
  • minScore (number, optional) - Minimum relevance score (0-1)

Example Input:

{
  "query": "weather forecast discussions from last week",
  "maxResults": 5,
  "minScore": 0.7
}

Example Output:

{
  "results": [
    {
      "content": "We discussed the weather forecast for San Francisco...",
      "timestamp": "2026-01-28T14:30:00Z",
      "score": 0.89,
      "source": "session_log_2026-01-28"
    },
    {
      "content": "The forecast indicated rain for the weekend...",
      "timestamp": "2026-01-27T10:15:00Z",
      "score": 0.82,
      "source": "session_log_2026-01-27"
    }
  ],
  "total": 5
}

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build for production
npm run build

# Run built version
npm start

Testing

Test the server with MCP inspector:

npx @modelcontextprotocol/inspector node dist/index.js

Or test directly:

echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js

License

MIT

Author

Helms AI

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通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

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TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

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本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

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TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

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Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

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Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

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Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

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