Unified Knowledge Synchronizer MCP Server

An implementation of the Model Context Protocol (MCP) server layer engineered for seamless interaction with the SourceSync.ai enterprise data access API. This server provides AI agents with a standardized conduit to query and govern data residing within the SourceSync.ai intelligent information hub.

Core Capabilities

• Systematically manage knowledge partitions (namespaces) for logical separation.
• Facilitate content importation from diverse origins (raw text, remote URIs, full web crawls, connected external platforms).
• Execute persistent management of recorded assets: retrieval, modification, and lifecycle control.
• Enable sophisticated similarity-based (semantic) and combined (hybrid) information retrieval routines.
• Offer direct access to textual artifacts derived from analyzed Uniform Resource Locators (URLs).
• Provision management endpoints for external system integrations.
• Include built-in default provisioning for frictionless deployment alongside AI execution environments.

Deployment Methods

Execution via npx

bash

Provision and launch, supplying requisite credentials

sourcesync_api_key=your_api_key npx -y sourcesyncai-mcp

Installation through Smithery

For automated deployment targeting Claude Desktop environments using Smithery:

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

Conventional Local Setup

bash

Obtain the source repository

git clone https://github.com/yourusername/sourcesyncai-mcp.git cd sourcesyncai-mcp

Install requisite dependencies

npm install

Compile source code

npm run build

Initiate the service endpoint

node dist/index.js

Integration within Cursor IDE

To hook up the SourceSync.ai Knowledge Gateway within Cursor:

1. Navigate to Cursor Configuration Settings.
2. Access the section designated for Features > MCP Servers.
3. Select the option to + Add New MCP Server.
4. Input the following parameters:
5. Identifier Name: sourcesyncai-mcp (or any chosen label)
6. Protocol Type: command
7. Execution Command: env SOURCESYNCAI_API_KEY=your-api-key npx -y sourcesyncai-mcp

Once configured, articulate your knowledge management objectives to Cursor to invoke the SourceSync.ai suite of capabilities.

Configuration for Windsurf Environment

Incorporate the following stanza into your ./codeium/windsurf/model_config.json file:

{ "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" } } } }

Setup for Claude Desktop

To link this MCP endpoint with the Claude Desktop client:

1. Locate the configuration file for Claude Desktop:

2. macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

3. Windows: %APPDATA%\Claude\claude_desktop_config.json

4. Linux: ~/.config/Claude/claude_desktop_config.json

5. Augment the configuration file by registering the SourceSync.ai endpoint:

{ "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. Persist the modifications and initiate a restart of the Claude Desktop application.

Configuration Parameters

Environmental Mandates

• SOURCESYNC_API_KEY: The prerequisite authentication token for SourceSync.ai access.

Optional Environment Settings

• SOURCESYNC_NAMESPACE_ID: The default data partition identifier for routine operations.
• SOURCESYNC_TENANT_ID: The organizational tenant identifier (optional).

Parameterization Examples

Standard setup utilizing baseline parameters:

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

Available Operations (Tools)

Credential Verification

• validate_api_key: Authenticate the provided SourceSync.ai credential.

{ "name": "validate_api_key", "arguments": {} }

Knowledge Partition Management

• create_namespace: Provision a new organizational context.
• list_namespaces: Enumerate all existing contexts.
• get_namespace: Retrieve specific details for a context.
• update_namespace: Modify parameters of an existing context.
• delete_namespace: Erase a specified context.

{ "name": "create_namespace", "arguments": { "name": "project-alpha-repository", "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": "rebranded-namespace-title" } }

{ "name": "delete_namespace", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX" } }

Data Acquisition Pipelines

• ingest_text: Load content supplied as raw string data.
• ingest_urls: Process content fetched from a list of web addresses.
• ingest_sitemap: Index content discovered via an XML sitemap.
• ingest_website: Perform a recursive crawl of a specified web domain.
• ingest_notion: Synchronize knowledge artifacts from a Notion instance.
• ingest_google_drive: Integrate files from Google Drive storage.
• ingest_dropbox: Import assets held within Dropbox.
• ingest_onedrive: Pull content from Microsoft OneDrive.
• ingest_box: Connect and ingest data from the Box platform.
• get_ingest_job_run_status: Query the operational state of a prior ingestion task.

{ "name": "ingest_text", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "TEXT", "config": { "name": "initial-data-snippet", "text": "This constitutes the primary knowledge fragment for system indexing.", "metadata": { "classification": "core", "originator": "Automated Agent" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_urls", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "URLS", "config": { "urls": ["https://acme-corp.com/docs/manual-v1", "https://acme-corp.com/release-notes"], "metadata": { "source_type": "web_links", "grouping": "manuals" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_sitemap", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "SITEMAP", "config": { "url": "https://global-info.net/sitemap.xml", "metadata": { "source": "sitemap_index", "domain_root": "global-info.net" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_website", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "WEBSITE", "config": { "url": "https://enterprise-portal.org", "maxDepth": 5, "maxPages": 500, "metadata": { "source": "web_crawl", "site_name": "Enterprise Portal" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_notion", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "NOTION", "config": { "connectionId": "notion_connect_ref_456", "metadata": { "source": "notion_workspace", "workspace_name": "Engineering Wiki" } } }, "tenantId": "your_tenant_id" } }

{ "name": "ingest_google_drive", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "GOOGLE_DRIVE", "config": { "connectionId": "gdrive_auth_token_123", "metadata": { "source": "google_drive_sync", "principal": "it_dept@corp.com" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_dropbox", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "DROPBOX", "config": { "connectionId": "dropbox_link_987", "metadata": { "source": "dropbox_backup", "account_id": "finance_team_user" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_onedrive", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "ONEDRIVE", "config": { "connectionId": "msft_auth_ref_abc", "metadata": { "source": "onedrive_shared", "user": "manager@corp.com" } } }, "tenantId": "tenant_XXX" } }

{ "name": "ingest_box", "arguments": { "namespaceId": "your_namespace_id", "ingestConfig": { "source": "BOX", "config": { "connectionId": "box_api_token_xyz", "metadata": { "source": "box_repository", "owner_dept": "legal" } } }, "tenantId": "tenant_XXX" } }

{ "name": "get_ingest_job_run_status", "arguments": { "namespaceId": "your_namespace_id", "ingestJobRunId": "ingestion_process_ID_404", "tenantId": "tenant_XXX" } }

Asset Management

• getDocuments: Query and retrieve stored digital assets, optionally applying criteria.
• updateDocuments: Modify descriptive metadata associated with selected assets.
• deleteDocuments: Permanently decommission specified assets.
• resyncDocuments: Trigger a re-indexing or refresh operation for existing assets.
• fetchUrlContent: Retrieve the raw textual payload linked to a document's content pointer.

{ "name": "getDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "filterConfig": { "documentTypes": ["PRESENTATION", "SPREADSHEET"] }, "includeConfig": { "parsedTextFileUrl": true } } }

{ "name": "updateDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "filterConfig": { "documentIds": ["doc_XXX", "doc_YYY"] }, "data": { "metadata": { "validation_status": "verified_and_approved", "security_level": "internal_confidential" } } } }

{ "name": "deleteDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "filterConfig": { "documentIds": ["doc_XXX", "doc_YYY"] } } }

{ "name": "resyncDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "filterConfig": { "documentIds": ["doc_XXX", "doc_YYY"] } } }

{ "name": "fetchUrlContent", "arguments": { "url": "https://data-endpoint.sourcesync.ai/artifact/doc_XXX/raw_text", "apiKey": "obfuscated_key_for_direct_access", "tenantId": "tenant_XXX" } }

Information Retrieval

• semantic_search: Execute a meaning-based query against the indexed corpus.
• hybrid_search: Combine vector similarity with traditional term matching for enhanced relevance.

{ "name": "semantic_search", "arguments": { "namespaceId": "your_namespace_id", "query": "parameters governing Q3 financial forecasts", "topK": 10, "tenantId": "tenant_XXX" } }

{ "name": "hybrid_search", "arguments": { "namespaceId": "your_namespace_id", "query": "operational procedure for server failover", "topK": 7, "tenantId": "tenant_XXX", "hybridConfig": { "semanticWeight": 0.85, "keywordWeight": 0.15 } } }

Service Linkage Management

• create_connection: Establish a new authenticated linkage to an external data provider.
• list_connections: View all currently active service integrations.
• get_connection: Inspect the details of a specific integration.
• update_connection: Modify the parameters of an existing integration.
• revoke_connection: Terminate and invalidate a service linkage.

{ "name": "create_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "name": "HR_System_Feed", "connector": "SHAREPOINT_ONLINE", "clientRedirectUrl": "https://my-internal-portal.com/auth/callback" } }

{ "name": "list_connections", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX" } }

{ "name": "get_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "connectionId": "connect_ref_456" } }

{ "name": "update_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "connectionId": "connect_ref_456", "name": "HR_System_Primary_Feed", "clientRedirectUrl": "https://new-portal.com/auth/return" } }

{ "name": "revoke_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "connectionId": "connect_ref_456" } }

Usage Scenarios (Illustrative Prompts)

Examples for instructing an AI agent after initializing the MCP gateway:

• "Query the synchronized knowledge repository for policy documents regarding remote work standards."
• "Initiate ingestion of the latest quarterly report located at this specific web address: [URL] into the designated assets partition."
• "Establish a dedicated knowledge space within SourceSync.ai for handling compliance audit trails."
• "Generate a manifest of all indexed assets currently resident in the primary data vault."
• "Retrieve and display the parsed textual payload for the asset identified by identifier: [document_id] from the active data partition."

Issue Resolution

Connectivity Faults

If connection establishment proves problematic:

1. Path Verification: Confirm that all specified file locations utilize absolute addressing, avoiding relative references.
2. Execution Rights: Guarantee the primary server executable possesses necessary file system execution privileges (chmod +x dist/index.js).
3. Client Diagnostics: Within Claude Desktop, activate Diagnostic Mode and scrutinize the generated MCP Log File.
4. Direct Service Check: Manually confirm server responsiveness via CLI execution:

bash node /full/path/to/sourcesyncai-mcp/dist/index.js

1. Client Environment Reset: Effect a full restart of the consuming AI application (Claude Desktop or Cursor) post-configuration adjustment.
2. Credential Audit: Validate that all mandatory environmental variables are accurately provisioned.

Verbose Logging

To activate detailed operational tracing, set the DEBUG environment variable:

Development Guide

Directory Layout

• src/index.ts: Core bootstrapping and API server definition.
• src/schemas.ts: Definitive structure validation artifacts for all exposed operations.
• src/sourcesync.ts: The dedicated client module interfacing with the SourceSync.ai backend API.
• src/sourcesync.types.ts: TypeScript interface declarations.

Build and Testing Cycle

bash

Compile the source code base

npm run build

Execute automated verification suites

npm test

Stewardship

License: MIT

Reference Links

• SourceSync.ai Official Documentation
• SourceSync.ai API Specification
• Model Context Protocol Specification

Workflow for Content Extraction:

1. Invoke getDocuments, ensuring includeConfig.parsedTextFileUrl is set to true, which returns links to the parsed artifacts.
2. Extract the resultant content Uniform Resource Locator from the response payload.
3. Execute the fetchUrlContent operation utilizing the extracted URI to retrieve the actual data streams:

{ "name": "fetchUrlContent", "arguments": { "url": "http://retrieval-proxy.net/asset-content-id" } }

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