productivity

SourceSync.ai

by scmdr

Streamline knowledge with SourceSync.ai's document management software for seamless archiving, search, and retrieval acr

Integrates with SourceSync.ai's knowledge management platform to enable semantic search, document management, and content ingestion from diverse sources for AI-driven knowledge retrieval and document analysis.

github stars

1

Semantic search capabilitiesMultiple content source supportOne-click install via Smithery

best for

  • / Knowledge workers building searchable document repositories
  • / Teams needing AI-powered content retrieval and analysis
  • / Researchers organizing and querying large document collections

capabilities

  • / Ingest content from text, URLs, websites, and external services
  • / Perform semantic and hybrid searches across knowledge bases
  • / Manage and organize documents in namespaces
  • / Retrieve and update stored documents
  • / Connect to external data sources
  • / Parse and access content from URLs

what it does

Connects to SourceSync.ai's knowledge management platform to ingest, search, and manage documents from various sources using AI-driven semantic search.

about

SourceSync.ai is an official MCP server published by scmdr that provides AI assistants with tools and capabilities via the Model Context Protocol. Streamline knowledge with SourceSync.ai's document management software for seamless archiving, search, and retrieval acr It is categorized under productivity.

how to install

You can install SourceSync.ai in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

SourceSync.ai is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

SourceSync.ai MCP Server

smithery badge

A Model Context Protocol (MCP) server implementation for the SourceSync.ai API. This server allows AI models to interact with SourceSync.ai's knowledge management platform through a standardized interface.

Features

  • Manage namespaces for organizing knowledge
  • Ingest content from various sources (text, URLs, websites, external services)
  • Retrieve, update, and manage documents stored in your knowledge base
  • Perform semantic and hybrid searches against your knowledge base
  • Access document content directly from parsed text URLs
  • Manage connections to external services
  • Default configuration support for seamless AI integration

Installation

Running with npx

# Install and run with your API key and tenant ID
env SOURCESYNC_API_KEY=your_api_key npx -y sourcesyncai-mcp

Installing via Smithery

To install sourcesyncai-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @pbteja1998/sourcesyncai-mcp --client claude

Manual Installation

# 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

Running on Cursor

To configure SourceSync.ai MCP in Cursor:

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click + Add New MCP Server
  4. Enter the following:
    • Name: sourcesyncai-mcp (or your preferred name)
    • Type: command
    • Command: env SOURCESYNCAI_API_KEY=your-api-key npx -y sourcesyncai-mcp

After adding, you can use SourceSync.ai tools with Cursor's AI features by describing your knowledge management needs.

Running on Windsurf

Add this to your ./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"
      }
    }
  }
}

Running on Claude Desktop

To use this MCP server with Claude Desktop:

  1. Locate the 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
  2. Edit the configuration file to add the SourceSync.ai MCP server:

{
  "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"
      }
    }
  }
}
  1. Save the configuration file and restart Claude Desktop

Configuration

Environment Variables

Required

  • SOURCESYNC_API_KEY: Your SourceSync.ai API key (required)

Optional

  • SOURCESYNC_NAMESPACE_ID: Default namespace ID to use for operations
  • SOURCESYNC_TENANT_ID: Your tenant ID (optional)

Configuration Examples

Basic configuration with default values:

export SOURCESYNC_API_KEY=your_api_key
export SOURCESYNC_TENANT_ID=your_tenant_id
export SOURCESYNC_NAMESPACE_ID=your_namespace_id

Available Tools

Authentication

  • validate_api_key: Validate a SourceSync.ai API key
{
  "name": "validate_api_key",
  "arguments": {}
}

Namespaces

  • create_namespace: Create a new namespace
  • list_namespaces: List all namespaces
  • get_namespace: Get details of a specific namespace
  • update_namespace: Update a namespace
  • delete_namespace: Delete a namespace
{
  "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"
  }
}

Data Ingestion

  • ingest_text: Ingest text content
  • ingest_urls: Ingest content from URLs
  • ingest_sitemap: Ingest content from a sitemap
  • ingest_website: Ingest content from a website
  • ingest_notion: Ingest content from Notion
  • ingest_google_drive: Ingest content from Google Drive
  • ingest_dropbox: Ingest content from Dropbox
  • ingest_onedrive: Ingest content from OneDrive
  • ingest_box: Ingest content from Box
  • get_ingest_job_run_status: Get the status of an ingestion job run
{
  "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"
  }
}

Documents

  • getDocuments: Retrieve documents with optional filters
  • updateDocuments: Update document metadata
  • deleteDocuments: Delete documents
  • resyncDocuments: Resync documents
  • fetchUrlContent: Fetch text content from document URLs
{
  "name": "getDocuments",
  "arguments": {
    "namespaceId": "namespace_XXX",
    "tenantId": "tenant_XXX",
    "filterConfig": {
      "documentTypes": ["PDF"]
    },
    "includeConfig": {
      "parsedTextFileUrl": true
    }
  }
}
{
  "name": "updateDocuments",
  "arguments": {
    "namespaceId": "namespace_XXX",
    "tena

---

FAQ

What is the SourceSync.ai MCP server?
SourceSync.ai is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for SourceSync.ai?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    SourceSync.ai is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated SourceSync.ai against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: SourceSync.ai is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    SourceSync.ai reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend SourceSync.ai for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: SourceSync.ai surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    SourceSync.ai has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, SourceSync.ai benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired SourceSync.ai into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    SourceSync.ai is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.