GibWork MCP Server

Overview

The GibWork MCP Server bridges Claude‑style AI assistants with the GibWork platform, turning a web‑based task marketplace into an interactive, programmatic resource. By exposing the platform’s core operations through the Model Context Protocol (MCP), developers can embed task creation, retrieval, and search directly into conversational agents. This eliminates the need for manual API calls or custom UI components, allowing an AI assistant to manage jobs in real time as part of a broader workflow.

At its core, the server implements three primary tools: create-task, get-tasks, and get-tasks-by-id. Each tool maps to a single GibWork API endpoint, translating user‑friendly parameters into the platform’s expected payload. For example, a user can ask an assistant to “create a new design task with the tag ‘UX’,” and the MCP server will automatically construct the necessary Solana transaction, sign it with a secure private key, and submit it to . The response is then returned in a structured format that the AI can interpret and continue the conversation.

Key Features

• Task Management – Create, read, and filter tasks with fine‑grained control over pagination, ordering, and tag filtering.
• Secure Solana Integration – All transaction signing is handled server‑side, keeping the private key out of client code.
• MCP Compatibility – The server follows MCP standards, enabling seamless integration with any AI platform that supports the protocol.
• Extensible Toolset – The architecture is modular; new tools can be added by implementing additional MCP handlers without changing the core server.

Use Cases

1. AI‑Driven Project Management – A project manager’s assistant can automatically generate tasks for team members, track progress, and surface overdue items.
2. Freelance Marketplace Automation – Freelancers can let an AI bot post new gigs, search for relevant opportunities, and update statuses—all from a single chat interface.
3. Workflow Orchestration – In CI/CD pipelines, an AI orchestrator can create a task whenever a build fails, notify stakeholders, and log the incident in GibWork for later review.
4. Customer Support Automation – Support agents can use the assistant to pull up task histories for a client, reducing ticket resolution time.

Integration Flow

1. Configure MCP – Add the GibWork server to an AI client’s MCP configuration, specifying the executable path.
2. Invoke Tools – The assistant calls one of the three tools via a standard MCP request, passing JSON parameters.
3. Server Execution – The server authenticates with Solana, performs the API call to GibWork, and returns a structured JSON response.
4. Assistant Response – The AI formats the result, presents it to the user, and can trigger subsequent actions based on the outcome.

Unique Advantages

• Zero‑Code Interaction – Developers can expose complex blockchain operations to AI without writing custom wrappers.
• Security by Design – Private keys never leave the server environment, mitigating exposure risks.
• Rich Querying – The tool supports full text search, tag filtering, and pagination, giving AI agents powerful data retrieval capabilities.
• Open‑Source Simplicity – Built on Node.js and TypeScript, the server is lightweight yet fully typed, making it easy to audit and extend.

By integrating GibWork’s task marketplace into AI workflows through the Model Context Protocol, this server empowers developers to build intelligent assistants that can create, manage, and reason about real‑world work items with minimal friction.