ACSE: Autonomous Curriculum Vitae Generator Server

Introduction to the ACSE Platform

This application functions as a specialized Model Context Protocol (MCP) server. Its primary function is to empower advanced conversational agents with the capacity to revise and enrich your standardized JSON Resume artifacts by performing deep analysis of your active software development repositories. The MCP endpoints furnished by this server enable intelligent assistants, such as those found in environments like Windsurf or Cursor, to execute the following sequences:

1. Determine the existence of a current, committed JSON Resume document.
2. Systematically scan the repository structure to ascertain proficiency levels and inventory ongoing development efforts.
3. Augment the existing resume data structure with precise attributes derived from the current working branch/project.

By employing this utility, a user can simply issue a directive like, "Incorporate the essence of my present development undertaking into my professional summary," and the system will autonomously inspect the code, distill requisite technical information, and modify the associated resume file accordingly.

Demonstration Video Reference: https://x.com/ajaxdavis/status/1896953226282594381

Core Capabilities

• Profile Enrichment: Systematically probes the local codebase to append detailed context regarding completed or ongoing projects to the resume data.
• Version Control Synchronization: Facilitates fetching and persisting the resume file to and from GitHub Gists for persistent storage.
• Intelligent Content Generation: Utilizes sophisticated models (OpenAI) to compose polished, professional narratives describing project scope and accrued technical proficiencies.
• Schema Conformance: Employs TypeScript and Zod schema validation to guarantee all output adheres strictly to the canonical JSON Resume data structure.
• Ecosystem Interoperability: Maintained compatibility with the official JSON Resume registry.

Installation Procedure

Prerequisites for Operation

• A valid GitHub credentials set, including a Personal Access Token authorized for gist scope operations.
• An active API credential for OpenAI services.
• Runtime environment: Node.js version 18 or higher.
• An Integrated Development Environment (IDE) configured with native MCP support (e.g., Windsurf or Cursor).

Deployment via Smithery

To initiate automated deployment of the ACSE server for use with Claude Desktop via Smithery:

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

Standard NPM Installation

bash npm install -g @jsonresume/mcp

Integration into Assistant Environments

Integrate the following configuration snippet into your respective assistant's configuration file:

Windsurf Configuration

Navigate to Settings → MCP Servers and introduce this object:

{ "jsonresume": { "command": "npx", "args": ["-y", "@jsonresume/mcp"], "env": { "GITHUB_TOKEN": "your-github-token", "OPENAI_API_KEY": "your-openai-api-key", "GITHUB_USERNAME": "your-github-username" } } }

Cursor Configuration

Modify your ~/.cursor/mcp_config.json file with this entry:

{ "mcpServers": { "jsonresume": { "command": "npx", "args": ["-y", "@jsonresume/mcp"], "env": { "GITHUB_TOKEN": "your-github-token", "OPENAI_API_KEY": "your-openai-api-key", "GITHUB_USERNAME": "your-github-username" } } } }

Operational Directives

Once the server is initialized and requisite credentials are set, utilize the following conversational prompts with your connected AI agent:

Directive: Portfolio Enhancement via Current Project

Query your AI agent with:

"Could you please enrich my professional document using artifacts from the project currently under development?"

The agent will execute the following sequence: 1. Locate your extant resume record on GitHub (or provision a placeholder if absent). 2. Perform a comprehensive analysis of the active project's source code structure. 3. Formulate sophisticated explanatory text for the project milestones and associated competencies. 4. Commit the revised data back into your resume file. 5. Persist these modifications to the designated GitHub repository. 6. Furnish a hyperlink for immediate review of the updated professional summary.

Directive: Status Inquiry

Engage the agent using:

"Ascertain the current state of my JSON Resume file."

The agent will verify the presence of a document and display its current metadata.

Directive: Codebase Profiling

Prompt the agent with:

"Enumerate the principal technological stacks employed within this codebase."

The agent will return an analysis detailing programming languages, utilized frameworks, and recent source code contribution patterns.

System Parameterization

The ACSE server mandates the establishment of the following environmental variables for successful execution:

Development Workflow

To initiate the server in a debugging or development context:

1. Obtain a local copy of the source code: bash git clone https://github.com/jsonresume/mcp.git cd mcp

2. Install project dependencies: bash npm install

3. Launch the application in development mode: bash npm run dev

This command starts the MCP server, concurrently enabling the integrated inspection tool for tracing execution flows.

Community Contributions

We encourage and welcome external contributions! The pathway for involvement is as follows:

1. Create a personal fork of the repository.
2. Establish a dedicated feature branch: git checkout -b feature/my-new-enhancement.
3. Commit your modifications: git commit -m 'Introduce my fantastic feature'.
4. Push your branch to your fork: git push origin feature/my-new-enhancement.
5. Submit a formal Pull Request for review.

Please ensure all submitted code aligns with established style conventions and includes requisite unit/integration tests.

Validation Routines

The ACSE server incorporates a suite of test scripts dedicated to debugging and verifying system integrity.

Executing Tests

Test scripts reside within the tests/ directory. Before execution, ensure your required environment credentials are set in your shell session:

bash export GITHUB_TOKEN=your_github_token export OPENAI_API_KEY=your_openai_api_key export GITHUB_USERNAME=your_github_username

OpenAI Credential Health Check

Confirms that the provided OpenAI API access is operational:

bash npx tsx tests/check-openai.ts

Synthetic Resume Augmentation Test

Validates the profile enhancement logic using predetermined placeholder data (zero external API interaction):

bash npx tsx tests/debug-mock.ts

End-to-End Resume Augmentation Validation

Tests the complete profile updating sequence involving live external API interactions:

bash npx tsx tests/debug-enhance.ts

MCP Protocol Communication Test

Verifies the correct negotiation and exchange messages according to the MCP specification:

bash node tests/test-mcp.js

Integration into package.json Scripts

For streamlined invocation, consider mapping these commands within your package.json file:

"scripts": { "test:openai": "tsx tests/check-openai.ts", "test:mock": "tsx tests/debug-mock.ts", "test:enhance": "tsx tests/debug-enhance.ts", "test:mcp": "node tests/test-mcp.js" }

Subsequent execution can then proceed via npm run test:mock, etc.

Licensing

This software artifact is distributed under the terms specified in the LICENSE file.

Acknowledgements

• Credit to JSON Resume for defining the professional document standard.
• Appreciation to the Model Context Protocol initiative for enabling sophisticated AI tool interfacing.
• Recognition for OpenAI whose models facilitate the intelligent refinement of professional narratives.

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