
Lens Protocol MCP Server
Enables AI tools to interact with the Lens Protocol decentralized social network ecosystem. Supports fetching profiles, posts, followers, searching content, and accessing social graph data through standardized MCP interfaces.
README
Lens Protocol MCP Server
A Model Context Protocol (MCP) server that provides access to Lens Protocol data and functionality. This server enables AI tools to interact with the Lens Protocol ecosystem through standardized MCP interfaces.
Features
Tools (Actions)
- fetch_account - Fetch Lens Protocol account/profile by address
- fetch_posts - Fetch posts with optional filters (by author, pagination)
- fetch_followers - Get followers of a specific account
- fetch_following - Get accounts that a specific account follows
- search_accounts - Search for profiles (limited in public mode)
- search_posts - Search for posts (limited in public mode)
- fetch_apps - Fetch Lens Protocol applications
- fetch_groups - Fetch groups from the protocol
- fetch_usernames - Fetch username information
Resources (Data Access)
- lens://account/{address} - Account/profile information
- lens://post/{id} - Post/publication data
- lens://app/{address} - Application information
- lens://group/{address} - Group information
Installation
bun install
Usage
Starting the Server
Local (stdio) Mode
bun start
Remote HTTP Mode
bun start:http
# Or with custom port
PORT=8080 bun start:http
The server supports both stdio (for local use) and HTTP (for remote access) transports.
Configuration
Set environment variables:
LENS_ENVIRONMENT
: Set to "testnet" for testnet, defaults to mainnetPORT
: HTTP server port (default: 3000)
Example MCP Tool Calls
Fetch Account
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "fetch_account",
"arguments": {
"address": "0x1234567890123456789012345678901234567890"
}
}
}
Fetch Posts
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "fetch_posts",
"arguments": {
"pageSize": 5,
"author": "0x1234567890123456789012345678901234567890"
}
}
}
Fetch Followers
{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "fetch_followers",
"arguments": {
"account": "0x1234567890123456789012345678901234567890",
"pageSize": 10
}
}
}
MCP Client Configuration
Local Server Configuration
Add this server to your MCP client configuration:
{
"mcpServers": {
"lens-protocol": {
"command": "bun",
"args": ["index.ts"],
"cwd": "/path/to/lens-mcp"
}
}
}
Remote Server Configuration
For remote HTTP access:
{
"mcpServers": {
"lens-protocol-remote": {
"transport": {
"type": "http",
"url": "https://lens-mcp.lenscan.io/mcp"
}
}
}
}
Development
Running in Development Mode
# Stdio mode
bun dev
# HTTP mode
bun dev:http
Testing
# Run unit tests
bun test
# Run integration tests
bun test:integration
# Run all tests
bun test:all
Docker Deployment
# Build and run with Docker
docker build -f docker/Dockerfile -t lens-mcp .
docker run -p 3000:3000 lens-mcp
# Or use docker-compose
docker-compose -f docker/docker-compose.yml up
Architecture
The server is built using:
- @lens-protocol/client@canary - Official Lens Protocol TypeScript SDK
- @modelcontextprotocol/sdk - MCP server implementation
- Bun - Fast JavaScript runtime and package manager
Limitations
- Search functionality is limited in public client mode (requires authenticated session)
- Some advanced features require authentication which is not implemented in this server
- Rate limiting depends on Lens Protocol API limits
Contributing
- Fork the repository
- Create a feature branch
- Make changes
- Test with
bun test.ts
- Submit a pull request
License
MIT License
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
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。

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。
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。
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。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。