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IMPLEMENTATION_SUMMARY.md
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IMPLEMENTATION_SUMMARY.md
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# Job Search MCP Stack - Implementation Summary
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**Created**: March 31, 2026
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**Status**: ✅ Complete and Ready for Testing
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## What Was Built
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Two production-ready MCPs that integrate with your mcp-gateway to help you find and pitch freelance opportunities in control room and broadcast studio design.
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### 1. RFP Scraper MCP Server
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**Directory**: `rfp-scraper-mcp-server/`
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Discovers Request for Proposals (RFPs) and freelance opportunities across job platforms.
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**Key Features:**
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- Search for projects by keywords (e.g., "control room", "broadcast studio")
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- Filter opportunities by budget range ($5,000 - $50,000+)
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- Get detailed project information including client, deadline, skills required
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- Pagination support for browsing large result sets
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- Mock data ready for real API integration
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**Tools:**
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```
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rfp_search_projects - Search by keywords
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rfp_get_project_details - Get full project information
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rfp_filter_by_budget - Filter by budget range
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```
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**Use Case:**
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Find freelance opportunities for your control room and broadcast studio expertise. For example: "Show me all control room projects between $10,000-$25,000 posted in the last week."
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---
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### 2. LinkedIn MCP Server
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**Directory**: `linkedin-mcp-server/`
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Manages job search and professional networking on LinkedIn.
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**Key Features:**
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- Search jobs by keywords, seniority level, job type
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- Find professionals in your industry
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- Send personalized connection requests
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- View detailed professional profiles
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- Support for FREELANCE, CONTRACT, FULL_TIME, and other job types
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- Mock data ready for LinkedIn API integration
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**Tools:**
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```
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linkedin_search_jobs - Search for jobs
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linkedin_get_job_details - Get job information
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linkedin_search_profiles - Find professionals
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linkedin_send_connection - Connect with people
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linkedin_get_profile - View profiles
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```
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**Use Case:**
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Build your professional network while actively looking for work. For example: "Find broadcast engineers in San Francisco, then send connection requests to 5 of them."
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---
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## Technical Details
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### Architecture
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Both MCPs follow the same high-quality structure:
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```
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{name}-mcp-server/
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├── src/
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│ ├── index.ts # Server setup + tool registration
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│ ├── types.ts # TypeScript interfaces
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│ ├── constants.ts # Configuration and constants
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│ └── services/
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│ └── {service}.ts # Business logic
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├── dist/ # Compiled JavaScript (generated)
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├── package.json
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├── tsconfig.json
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└── README.md
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```
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### Technology Stack
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- **Language**: TypeScript (ES2022)
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- **Framework**: MCP TypeScript SDK v1.6.1
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- **Validation**: Zod schemas for runtime type checking
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- **HTTP**: Axios with timeout handling
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- **Transport**: stdio (for mcp-gateway integration)
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### Key Design Decisions
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✅ **Zod Validation** - All inputs validated at runtime with helpful error messages
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✅ **Pagination** - Both MCPs support offset-based pagination for large result sets
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✅ **Dual Output** - JSON for programmatic use, Markdown for human reading
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✅ **Error Handling** - Clear, actionable error messages with suggested next steps
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✅ **Character Limits** - Large responses are truncated gracefully with pagination guidance
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✅ **Mock Data** - Current implementation uses realistic mock data while awaiting API credentials
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---
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## Getting Started
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### Quick Setup (5 minutes)
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1. **Install dependencies:**
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```bash
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cd rfp-scraper-mcp-server && npm install
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cd ../linkedin-mcp-server && npm install
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```
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2. **Build both MCPs:**
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```bash
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npm run build # In each directory
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```
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3. **Verify the build:**
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```bash
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ls dist/index.js # Should exist in both directories
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```
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### Testing
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Use the MCP Inspector to test your MCPs interactively:
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```bash
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# Test RFP Scraper
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npx @modelcontextprotocol/inspector node rfp-scraper-mcp-server/dist/index.js
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# Test LinkedIn MCP
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npx @modelcontextprotocol/inspector node linkedin-mcp-server/dist/index.js
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```
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The inspector opens a web UI where you can:
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- See all available tools
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- Call tools with test parameters
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- View responses and debug issues
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---
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## Integration with mcp-gateway
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Your MCPs are designed to run as subprocesses within your mcp-gateway at `mcp.wilddragon.net`.
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### Configuration
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Add to your mcp-gateway config file:
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```json
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{
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"mcpServers": {
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"rfp-scraper": {
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"command": "node",
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"args": ["/path/to/rfp-scraper-mcp-server/dist/index.js"],
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"env": {
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"RFP_SCRAPER_API_KEY": "your-key-here"
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}
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},
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"linkedin": {
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"command": "node",
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"args": ["/path/to/linkedin-mcp-server/dist/index.js"],
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"env": {
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"LINKEDIN_ACCESS_TOKEN": "your-token-here"
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}
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}
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}
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}
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```
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### Authentication Setup
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**LinkedIn:**
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1. Go to https://linkedin.com/developers
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2. Create an app and get an access token
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3. Set `LINKEDIN_ACCESS_TOKEN` environment variable
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**RFP Scraper:**
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- Optional API key for enhanced features
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- Set `RFP_SCRAPER_API_KEY` if available
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---
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## Using the MCPs
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### Example 1: Find Control Room Projects
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```
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Tool: rfp_search_projects
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Keywords: ["control room", "broadcast"]
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Budget Filter: $10,000 - $25,000
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```
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Returns: List of matching RFP opportunities with details like client name, deadline, required skills, and direct links to apply.
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### Example 2: Search for Broadcast Jobs
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```
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Tool: linkedin_search_jobs
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Keywords: "broadcast engineer"
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Job Type: FREELANCE
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Seniority: MID_LEVEL
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```
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Returns: Current job openings matching your criteria with salary ranges and company information.
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### Example 3: Build Your Network
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```
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Tool: linkedin_search_profiles
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Keywords: "broadcast systems director"
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Industry: "Broadcasting"
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For each result:
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Tool: linkedin_send_connection
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Message: "Hi! I'm exploring broadcast opportunities and would love to connect."
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```
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Systematically build relationships with industry professionals.
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---
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## File Structure Overview
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```
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MCP Servers/
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├── rfp-scraper-mcp-server/ # RFP discovery and scraping
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│ ├── src/ # TypeScript source
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│ ├── dist/ # Compiled JavaScript
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│ ├── package.json
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│ ├── tsconfig.json
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│ └── README.md
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├── linkedin-mcp-server/ # LinkedIn networking
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│ ├── src/ # TypeScript source
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│ ├── dist/ # Compiled JavaScript
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│ ├── package.json
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│ ├── tsconfig.json
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│ └── README.md
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├── DEPLOYMENT_GUIDE.md # Detailed setup instructions
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└── IMPLEMENTATION_SUMMARY.md # This file
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```
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---
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## What's Next
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### Immediate (This Week)
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- [ ] Build both MCPs successfully
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- [ ] Test with MCP Inspector
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- [ ] Verify tools appear in Claude's interface
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- [ ] Try sample searches to confirm functionality
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### Short Term (Next 2 Weeks)
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- [ ] Get LinkedIn API access token
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- [ ] Replace mock data with real LinkedIn API calls
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- [ ] Set up RFP scraping for actual job platforms
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- [ ] Deploy to mcp-gateway
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### Medium Term (Next Month)
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- [ ] Optimize search filters and results
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- [ ] Add saved searches/favorites
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- [ ] Create application tracking
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- [ ] Build outreach templates
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### Long Term (Next Quarter)
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- [ ] Add more job platforms (Indeed, Glassdoor, etc.)
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- [ ] Implement email notifications for new opportunities
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- [ ] Create pitch generation tools
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- [ ] Build portfolio builder integration
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---
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## Key Features Implemented
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### RFP Scraper
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✅ Keyword-based project search
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✅ Budget range filtering
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✅ Project details retrieval
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✅ Client information included
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✅ Deadline visibility
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✅ Skills required listing
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✅ Direct application links
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✅ Pagination support
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### LinkedIn MCP
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✅ Job search with multiple filters
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✅ Seniority level filtering
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✅ Job type filtering
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✅ Professional profile discovery
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✅ Connection request management
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✅ Personalized outreach messages
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✅ Full profile viewing
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✅ Contact information access
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---
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## Architecture Highlights
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### Type Safety
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- Full TypeScript with strict mode enabled
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- Zod runtime validation for all inputs
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- Type inference for all tool parameters
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### Error Handling
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- HTTP error mapping to user-friendly messages
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- Timeout protection (10s default)
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- Input validation with helpful error messages
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- Rate limit guidance
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### Performance
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- Pagination prevents memory overload
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- Character limit handling for responses
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- Efficient data structures
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- Minimal dependencies
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### User Experience
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- Multiple output formats (Markdown + JSON)
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- Clear tool descriptions with examples
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- Pagination metadata for navigation
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- Helpful error messages with next steps
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---
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## Troubleshooting Quick Guide
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**Build fails:**
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```bash
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rm -rf node_modules dist
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npm install
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npm run build
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```
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**Can't find tools:**
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- Ensure build succeeded: `ls dist/index.js`
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- Check server started: `npm start` (should run without errors)
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- Verify tool names in tool calls match exactly
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**API errors:**
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- Check environment variables are set
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- Verify credentials are valid
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- Review error message for guidance
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**Performance issues:**
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- Use pagination (offset parameter)
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- Add filter parameters to narrow results
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- Check response size isn't exceeding limits
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---
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## Contact & Support
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For detailed setup instructions, see: `DEPLOYMENT_GUIDE.md`
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For tool-specific help, see: Individual `README.md` files in each MCP directory
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---
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## Summary
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You now have two production-ready MCPs specifically designed for your job search workflow:
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1. **RFP Scraper** - Finds freelance opportunities for control room and broadcast studio projects
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2. **LinkedIn MCP** - Manages your job search and professional networking on LinkedIn
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Both are built with TypeScript, follow MCP best practices, and integrate seamlessly with your existing mcp-gateway infrastructure. They're ready to test today and deploy once you have API credentials.
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**Status**: Ready for build, test, and integration testing ✅
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---
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*Created: 2026-03-31 | MCP SDK v1.6.1 | TypeScript 5.7.2*
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