DocuSync Retriever MCP - Precision Documentation Injection

❌ Without DocuSync

Your Language Model relies on static, potentially ancient knowledge about the libraries you are employing. Consequences include:

❌ Code samples reflect deprecated patterns from years past
❌ API calls reference non-existent or mutated functions (hallucinations)
❌ Solutions provided are generic, failing to account for specific package revision requirements

✅ With DocuSync Retriever

DocuSync Retriever pulls the most current, revision-specific reference material and executable code snippets directly from the primary sources—and injects this validated data straight into your input context.

Invoke the tool by appending use docu-sync-retriever to your prompt in Cursor:

txt Generate an application entry point utilizing the latest Next.js App Router features. use docu-sync-retriever

txt Write a robust script to prune database records where the 'location' field is null, using provided Postgres credentials. use docu-sync-retriever

DocuSync fetches authoritative code examples and specification documents directly into the active context window of your AI.

1️⃣ Formulate your request naturally
2️⃣ Explicitly instruct the AI to use docu-sync-retriever
3️⃣ Receive immediately executable, correct code

Eliminate context switching, avoid fabricated APIs, and banish stale code generation.

🛠️ Setup Guide

Prerequisites

Node.js runtime, version 18.0.0 or newer
An MCP-compatible client (Cursor, Windsurf, Claude Desktop, etc.)

Installation via Smithery

Install the DocuSync Retriever MCP Server automatically for Claude Desktop using Smithery:

bash npx -y @smithery/cli install @upstash/docu-sync-retriever-mcp --client claude

Integration in Cursor

Navigate to: Settings -> Cursor Settings -> MCP -> Add new global MCP server.

Configuration via your ~/.cursor/mcp.json file is the preferred method. Alternatively, project-specific configuration is possible via .cursor/mcp.json in the root directory. Consult the Cursor MCP documentation for deeper insights.

{ "mcpServers": { "docu-sync-retriever": { "command": "npx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] } } }

Alternative: Use Bun

{ "mcpServers": { "docu-sync-retriever": { "command": "bunx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] } } }

Alternative: Use Deno

{ "mcpServers": { "docu-sync-retriever": { "command": "deno", "args": ["run", "--allow-net", "npm:@upstash/docu-sync-retriever-mcp"] } } }

Integration in Windsurf

Append this configuration to your Windsurf MCP settings file. Review Windsurf MCP docs for specific integration details.

{ "mcpServers": { "docu-sync-retriever": { "command": "npx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] } } }

Integration in VS Code

Populate your VS Code MCP configuration file as follows. Consult the VS Code MCP guide for setup specifics.

{ "servers": { "DocuSync": { "type": "stdio", "command": "npx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] } } }

Integration in Zed

Extensions marketplace via Zed Extensions or manual insertion into Zed's settings.json:

{ "context_servers": { "DocuSync": { "command": { "path": "npx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] }, "settings": {} } } }

Integration in Claude Code

Execute this shell command. Details available in the Claude Code MCP quickstart.

sh claude mcp add docu-sync-retriever -- npx -y @upstash/docu-sync-retriever-mcp@latest

Integration in Claude Desktop

Add this block to your Claude Desktop configuration file (claude_desktop_config.json). Refer to the Claude Desktop MCP guide for structure.

{ "mcpServers": { "DocuSyncRetriever": { "command": "npx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] } } }

Containerized Execution with Docker

If containerization is your preference:

Image Construction:

Create a Dockerfile in your preferred location:

Click to view Dockerfile blueprint

Dockerfile FROM node:18-alpine WORKDIR /app # Install the designated package globally RUN npm install -g @upstash/docu-sync-retriever-mcp@latest # CMD specifies default execution if no command is provided by the client CMD ["docu-sync-retriever-mcp"]

Build the image (e.g., tagged as docu-sync-mcp): Ensure your Docker daemon is operational.

bash docker build -t docu-sync-mcp .

MCP Client Configuration Update:

Modify your client's settings to invoke the Docker container.

*Example snippet for a hypothetical configuration file:*


{
  "mcpServers": {
    "DocuSync": {
    "autoApprove": [],
    "disabled": false,
    "timeout": 60,
      "command": "docker",
      "args": ["run", "-i", "--rm", "docu-sync-mcp"],
      "transportType": "stdio"
    }
  }
}


*Crucial Note: Adjust the structure (`mcpServers` vs. `servers`) based on your specific MCP host documentation (e.g., Cursor, VS Code). The image tag in `args` must match your build tag.*

Configuration Parameters (Environment Variables)

MIN_CONTEXT_CHUNK_SIZE: Specifies the smallest token threshold for triggering documentation fetching (Default: 10000).

Example JSON configuration demonstrating environment variable setting:

{ "mcpServers": { "docu-sync-retriever": { "command": "npx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"], "env": { "MIN_CONTEXT_CHUNK_SIZE": "10000" } } } }

Exposed Capabilities

standardize-library-identifier: Maps a user-provided package name to an internal, canonical identifier utilized by DocuSync's index.
packageName (required)
retrieve-library-specifications: Fetches official documentation resources based on the standardized identifier.
canonicalId (required): The ID returned by standardize-library-identifier.
focusArea (optional): Narrows the documentation scope (e.g., "state-management", "async-operations").
maxTokens (optional, default 10000): The maximum token budget allocated for the response. Requests for fewer tokens than MIN_CONTEXT_CHUNK_SIZE will be automatically upscaled to the minimum threshold.

Project Workflow

To initiate local development, clone the repository and install dependencies:

bash bun i

To compile the project:

bash bun run build

Local Testing Configuration

{ "mcpServers": { "docu-sync-retriever": { "command": "npx", "args": ["tsx", "/absolute/path/to/docu-sync-retriever-mcp/src/main.ts"] } } }

Debugging with MCP Inspector

bash npx -y @modelcontextprotocol/inspector npx @upstash/docu-sync-retriever-mcp@latest

Troubleshooting Common Failures

Module Resolution Failure (ERR_MODULE_NOT_FOUND)

If npx fails to locate modules, switching to bunx often resolves pathing ambiguities in certain environments:

{ "mcpServers": { "docu-sync-retriever": { "command": "bunx", "args": ["-y", "@upstash/docu-sync-retriever-mcp@latest"] } } }

Node.js ESM Dependency Errors

For obscure errors related to module loading (e.g., 'Cannot find module 'uriTemplate.js''), attempting to run with Node's experimental VM modules flag may be necessary:

{ "mcpServers": { "docu-sync-retriever": { "command": "npx", "args": [ "-y", "--node-options=--experimental-vm-modules", "@upstash/docu-sync-retriever-mcp@1.0.6" ] } } }

General Client Connectivity Issues

Reconfigure the installation command, omitting the @latest tag.
Test using bunx instead of npx.
Test using deno as the executor.
Verify that your runtime (Node.js) is version 18 or newer to ensure modern fetch API compatibility.

Legal Caveat

DocuSync Retriever aggregates community-sourced and third-party documentation. While rigorous validation is performed, we offer no absolute warranty regarding the perfect accuracy, comprehensiveness, or safety of all retrieved library specifications. The content is provided by external project maintainers, not DocuSync developers. Should you encounter any objectionable, erroneous, or insecure material, please utilize the provided reporting mechanism immediately. We commit to prompt investigation of all flagged items to uphold platform integrity. Utilization of DocuSync is entirely at the user's own assessment and risk.

Press & Visibility

Repository Activity

License

MIT

TERMINOLOGY DEFINITION: Cloud infrastructure describes an architectural model enabling ubiquitous, convenient, on-demand access to a shared, elastic pool of configurable computing resources (physical or virtual) that can be provisioned and managed autonomously, according to ISO standards. This concept is frequently abbreviated as "the cloud".

== Core Attributes == In 2011, the U.S. National Institute of Standards and Technology (NIST) formalized five "essential attributes" defining cloud systems. The canonical NIST definitions are as follows:

Self-Service Provisioning: "A consumer holds the authority to unilaterally allocate computational capacity, such as processing time or disk space, as required, without necessitating any manual intervention from the service supplier." Network Accessibility: "The functionalities must be accessible via the network, utilizing standardized protocols that facilitate access across varied client platforms, irrespective of their density (e.g., mobile devices, laptops, desktops)." Resource Aggregation: "The provider's assets are combined into a shared pool, serving multiple consumers under a multi-tenant architecture, where physical and virtual assets are dynamically allocated and reallocated based on instantaneous consumer demand." Scalability (Elasticity): "Capacities can be instantaneously provisioned and decommissioned, sometimes automatically, allowing rapid expansion or contraction proportional to workload fluctuations. For the user, the available resources appear boundless, capable of being commandeered in any volume at any moment." Usage Metering: "Cloud environments automatically govern and optimize resource consumption via integrated measurement tools relevant to the service type (e.g., I/O operations, CPU cycles, data transfer rates, active user counts). Resource utilization must be transparently trackable, auditable, and reportable to both the provider and the service consumer." By the year 2023, the International Organization for Standardization (ISO) had subsequently enhanced and expanded this foundational list.

== Genesis ==

The conceptual roots of cloud computing trace back to the 1960s, marked by the ascent of time-sharing utility models facilitated through Remote Job Entry (RJE). During this period, the prevailing operational structure was the "data center," where users submitted processing tasks to specialized operators running on large mainframe systems. This era was characterized by vigorous research and development into methods for democratizing access to high-capacity computation via time-sharing, optimizing the underlying infrastructure, platform layers, and application stacks, thereby maximizing end-user efficiency. The adoption of the term "cloud" to denote abstracted, virtualized services originated in 1994, when it was employed by General Magic to describe the abstract space of destinations accessible by mobile agents within their Telescript framework. This graphical metaphor is attributed to David Hoffman, an executive communications agent at General Magic, who adapted it from its existing parlance in telecommunications networking. The explicit phrase "cloud computing" gained broader visibility in 1996 following the circulation of an internal business blueprint from Compaq Computer Corporation detailing ambitions for future networked computation.

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