Freelance Ops Mcp

Practical LLM Apps

Clone-and-run AI agents, RAG apps, and MCP servers.

Hand-built examples you can customize and ship — not slide-deck demos.

Works with OpenAI, and several apps run fully local with no API key.

Run one now

Invoice Follow-up Agent

git clone https://github.com/nimish14/practical-llm-apps.gitcd practical-llm-apps/starter_ai_agents/invoice_followup_agentpip install -r requirements.txtcp .env.example .env   # add OPENAI_API_KEYstreamlit run app.py

Chat with PDF

cd practical-llm-apps/starter_ai_agents/chat_with_pdfpip install -r requirements.txtcp .env.example .env   # add OPENAI_API_KEYstreamlit run app.py

Resume Evidence RAG (no API key)

cd practical-llm-apps/rag_apps/resume_evidence_ragpip install -r requirements.txtstreamlit run app.py

Freelance Ops MCP (Cursor / Claude)

cd practical-llm-apps/mcp_servers/freelance-ops-mcpnpm installnpm run buildnpx -y @modelcontextprotocol/inspector node dist/index.js

Add to Cursor MCP settings:

{  "mcpServers": {    "freelance-ops": {      "command": "npx",      "args": ["-y", "freelance-ops-mcp"]    }  }}

(After npm publish — until then, point args at node + local dist/index.js.)

Browse templates

Starter AI Agents

RAG Apps

MCP Servers

Project goals

1. Every app: clone → install → run in under 2 minutes
2. Clear README with problem, pipeline, and limits
3. MCP servers packaged for npm + MCP Registry
4. Prefer small, focused tools over mega-frameworks

License

MIT — fork it, ship it, sell it.