SourceSync.ai MCP 服务器

SourceSync.ai API 的模型上下文协议 (MCP) 服务器实现。该服务器允许 AI 模型通过标准化接口与 SourceSync.ai 的知识管理平台进行交互。
特征
安装
使用 npx 运行
# Install and run with your API key and tenant ID
env SOURCESYNC_API_KEY=your_api_key npx -y sourcesyncai-mcp
通过 Smithery 安装
要通过Smithery自动为 Claude Desktop 安装 sourcesyncai-mcp:
npx -y @smithery/cli install @pbteja1998/sourcesyncai-mcp --client claude
手动安装
# Clone the repository
git clone https://github.com/yourusername/sourcesyncai-mcp.git
cd sourcesyncai-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Run the server
node dist/index.js
在光标上运行
要在 Cursor 中配置 SourceSync.ai MCP:
打开游标设置
前往Features > MCP Servers
点击+ Add New MCP Server
输入以下内容:
添加后,您可以通过描述您的知识管理需求,将SourceSync.ai工具与Cursor的AI功能结合使用。
在风帆冲浪中奔跑
将其添加到您的./codeium/windsurf/model_config.json
:
{
"mcpServers": {
"sourcesyncai-mcp": {
"command": "npx",
"args": ["-y", "soucesyncai-mcp"],
"env": {
"SOURCESYNC_API_KEY": "your_api_key",
"SOURCESYNC_NAMESPACE_ID": "your_namespace_id",
"SOURCESYNC_TENANT_ID": "your_tenant_id"
}
}
}
}
在 Claude Desktop 上运行
要将此 MCP 服务器与 Claude Desktop 一起使用:
找到 Claude Desktop 配置文件:
macOS : ~/Library/Application Support/Claude/claude_desktop_config.json
Windows : %APPDATA%\Claude\claude_desktop_config.json
Linux : ~/.config/Claude/claude_desktop_config.json
编辑配置文件以添加 SourceSync.ai MCP 服务器:
{
"mcpServers": {
"sourcesyncai-mcp": {
"command": "npx",
"args": ["-y", "sourcesyncai-mcp"],
"env": {
"SOURCESYNC_API_KEY": "your_api_key",
"SOURCESYNC_NAMESPACE_ID": "your_namespace_id",
"SOURCESYNC_TENANT_ID": "your_tenant_id"
}
}
}
}
保存配置文件并重新启动Claude Desktop
配置
环境变量
必需的
选修的
配置示例
具有默认值的基本配置:
export SOURCESYNC_API_KEY=your_api_key
export SOURCESYNC_TENANT_ID=your_tenant_id
export SOURCESYNC_NAMESPACE_ID=your_namespace_id
可用工具
验证
{
"name": "validate_api_key",
"arguments": {}
}
命名空间
create_namespace
:创建一个新的命名空间
list_namespaces
:列出所有命名空间
get_namespace
:获取特定命名空间的详细信息
update_namespace
:更新命名空间
delete_namespace
:删除命名空间
{
"name": "create_namespace",
"arguments": {
"name": "my-namespace",
"fileStorageConfig": {
"provider": "S3_COMPATIBLE",
"config": {
"endpoint": "s3.amazonaws.com",
"accessKey": "your_access_key",
"secretKey": "your_secret_key",
"bucket": "your_bucket",
"region": "us-east-1"
}
},
"vectorStorageConfig": {
"provider": "PINECONE",
"config": {
"apiKey": "your_pinecone_api_key",
"environment": "your_environment",
"index": "your_index"
}
},
"embeddingModelConfig": {
"provider": "OPENAI",
"config": {
"apiKey": "your_openai_api_key",
"model": "text-embedding-3-small"
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "list_namespaces",
"arguments": {
"tenantId": "tenant_XXX"
}
}
{
"name": "get_namespace",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX"
}
}
{
"name": "update_namespace",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"name": "updated-namespace-name"
}
}
{
"name": "delete_namespace",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX"
}
}
数据提取
ingest_text
:提取文本内容
ingest_urls
:从 URL 中提取内容
ingest_sitemap
:从站点地图中提取内容
ingest_website
:从网站提取内容
ingest_notion
:从 Notion 中提取内容
ingest_google_drive
:从 Google Drive 提取内容
ingest_dropbox
:从 Dropbox 提取内容
ingest_onedrive
:从 OneDrive 提取内容
ingest_box
:从 Box 中提取内容
get_ingest_job_run_status
:获取摄取作业运行的状态
{
"name": "ingest_text",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "TEXT",
"config": {
"name": "example-document",
"text": "This is an example document for ingestion.",
"metadata": {
"category": "example",
"author": "AI Assistant"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_urls",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "URLS",
"config": {
"urls": ["https://example.com/page1", "https://example.com/page2"],
"metadata": {
"source": "web",
"category": "documentation"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_sitemap",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "SITEMAP",
"config": {
"url": "https://example.com/sitemap.xml",
"metadata": {
"source": "sitemap",
"website": "example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_website",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "WEBSITE",
"config": {
"url": "https://example.com",
"maxDepth": 3,
"maxPages": 100,
"metadata": {
"source": "website",
"domain": "example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_notion",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "NOTION",
"config": {
"connectionId": "your_notion_connection_id",
"metadata": {
"source": "notion",
"workspace": "My Workspace"
}
}
},
"tenantId": "your_tenant_id"
}
}
{
"name": "ingest_google_drive",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "GOOGLE_DRIVE",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "google_drive",
"owner": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_dropbox",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "DROPBOX",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "dropbox",
"account": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_onedrive",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "ONEDRIVE",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "onedrive",
"account": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "ingest_box",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "BOX",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "box",
"owner": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
{
"name": "get_ingest_job_run_status",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestJobRunId": "ingest_job_run_XXX",
"tenantId": "tenant_XXX"
}
}
文件
{
"name": "getDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"filterConfig": {
"documentTypes": ["PDF"]
},
"includeConfig": {
"parsedTextFileUrl": true
}
}
}
{
"name": "updateDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"documentIds": ["doc_XXX", "doc_YYY"],
"filterConfig": {
"documentIds": ["doc_XXX", "doc_YYY"]
},
"data": {
"metadata": {
"status": "reviewed",
"category": "technical"
}
}
}
}
{
"name": "deleteDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"documentIds": ["doc_XXX", "doc_YYY"],
"filterConfig": {
"documentIds": ["doc_XXX", "doc_YYY"]
}
}
}
{
"name": "resyncDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"documentIds": ["doc_XXX", "doc_YYY"],
"filterConfig": {
"documentIds": ["doc_XXX", "doc_YYY"]
}
}
}
{
"name": "fetchUrlContent",
"arguments": {
"url": "https://api.sourcesync.ai/v1/documents/doc_XXX/content?format=text",
"apiKey": "your_api_key",
"tenantId": "tenant_XXX"
}
}
搜索
{
"name": "semantic_search",
"arguments": {
"namespaceId": "your_namespace_id",
"query": "example document",
"topK": 5,
"tenantId": "tenant_XXX"
}
}
{
"name": "hybrid_search",
"arguments": {
"namespaceId": "your_namespace_id",
"query": "example document",
"topK": 5,
"tenantId": "tenant_XXX",
"hybridConfig": {
"semanticWeight": 0.7,
"keywordWeight": 0.3
}
}
}
连接
{
"name": "create_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"name": "My Connection",
"connector": "GOOGLE_DRIVE",
"clientRedirectUrl": "https://your-app.com/callback"
}
}
{
"name": "list_connections",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX"
}
}
{
"name": "get_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"connectionId": "connection_XXX"
}
}
{
"name": "update_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"connectionId": "connection_XXX",
"name": "Updated Connection Name",
"clientRedirectUrl": "https://your-app.com/updated-callback"
}
}
{
"name": "revoke_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"connectionId": "connection_XXX"
}
}
示例提示
以下是配置 MCP 服务器后可以与 Claude 或 Cursor 一起使用的一些示例提示:
“在我的 SourceSync 知识库中搜索有关机器学习的信息。”
“将这篇文章纳入我的 SourceSync 知识库:[URL]”
“在 SourceSync 中为我的项目文档创建一个新的命名空间。”
“列出我的 SourceSync 命名空间中的所有文档。”
“从我的 SourceSync 命名空间获取文档 [document_id] 的文本内容。”
故障排除
连接问题
如果您在连接 SourceSync.ai MCP 服务器时遇到问题:
验证路径:确保配置中的所有路径都是绝对路径,而不是相对路径。
检查权限:确保服务器文件具有执行权限( chmod +x dist/index.js
)。
启用开发者模式:在 Claude Desktop 中,启用开发者模式并检查 MCP 日志文件。
测试服务器:直接从命令行运行服务器:
node /path/to/sourcesyncai-mcp/dist/index.js
重新启动 AI 客户端:进行更改后,完全重新启动 Claude Desktop 或 Cursor。
检查环境变量:确保所有必需的环境变量都已正确设置。
调试日志
如需详细日志记录,请添加 DEBUG 环境变量:
发展
项目结构
src/index.ts
:主入口点和服务器设置
src/schemas.ts
:所有工具的架构定义
src/sourcesync.ts
:与 SourceSync.ai API 交互的客户端
src/sourcesync.types.ts
:TypeScript 类型定义
构建和测试
# Build the project
npm run build
# Run tests
npm test
执照
麻省理工学院
链接
文档内容检索工作流程:
首先,使用getDocuments
和includeConfig.parsedTextFileUrl: true
来获取文档及其内容 URL
从文档响应中提取 URL
使用fetchUrlContent
检索实际内容:
{
"name": "fetchUrlContent",
"arguments": {
"url": "https://example.com"
}
}