Nima Career

A public, open-source, read-only MCP server that exposes Nima Karami's curated, public-safe career history. Point any MCP client at it — Claude Code, Cursor, Claude Desktop, or a custom website backend — and ask about his experience, or have it assemble a tailored resume draft on the fly.

The server only ever returns vetted data. The AI's job is to select, order, and tailor pre-approved material for a query — never to author new facts. That guarantee is enforced in code: every tool reads through a validated corpus, and the resume tool emits only corpus values with provenance ids attached.

Quick start (local)

Requires uv.

uv sync --all-extras --dev

# Interactive dev + MCP Inspector (stdio). Requires Node/npx:
npx -y @modelcontextprotocol/inspector uv run nima-career-mcp
# (equivalent via the SDK dev wrapper, using the root shim — see note below:)
uv run mcp dev dev_server.py

# Or run the HTTP server locally:
uv run nima-career-mcp --transport streamable-http   # serves http://127.0.0.1:8080/mcp

# Tests (includes corpus integrity + the honesty guarantee):
uv run pytest -q

Why dev_server.py? mcp dev imports its target file by path, which strips the package context and breaks this src-layout package's relative imports. dev_server.py is a one-line shim that re-imports the server via an absolute import so mcp dev works. The npx … uv run nima-career-mcp form spawns the installed entry point and needs no shim.

Connecting clients

Claude Code / Cursor / Claude Desktop (remote — live):

claude mcp add --transport http nima https://nima-career-mcp.fly.dev/mcp

Local stdio (any client that spawns a process): run nima-career-mcp (no --transport).

Custom website backend: see examples/website_backend.py for both the Claude API MCP-connector path and a raw ClientSession path.

Tool surface (all read-only)

Tool	Purpose
get_profile	Public-safe identity, links, bio
get_about	Languages, interests, education, principles (each with depth, in his words)
list_roles / get_role	Browse roles (flat); drill into one (evidence + approved bullets)
list_experience	Roles grouped into company tenures (title progressions; gaps split into stints)
list_projects / get_project	Browse/drill into projects
list_skills	Skills by category, each backed by evidence
search_experience	Rank roles/projects/bullets/skills for a query
list_bullets	Fetch pre-approved resume bullets
assemble_resume	Assemble a tailored resume draft from approved material only

Resource career://guidance returns the honesty/anti-injection rules a host should embed in its system prompt. (Other career:// resources and prompt templates are stubbed opt-ins.)

The corpus

All data lives in corpus/ as curated YAML and is validated at startup. See corpus/CORPUS.md for the schema and the evidence→bullet model. The content is a public-safe, sanitized view of real experience: every claim traces to vetted evidence, and individuals, internal codenames, and private partner details are deliberately generalized. This repo holds no secrets and no private data; application tracking lives in a separate private repo.

Safety posture

Intentionally public and unauthenticated, but bounded: read-only tool surface (no write/exec), per-IP rate limiting (keyed on Fly's unforgeable client IP, with idle-bucket eviction), request body-size caps (enforced on the actual stream), and Origin + Host validation (DNS-rebinding defense) — see src/nima_career_mcp/security.py. Host/Origin allowlists are env-driven (NIMA_ALLOWED_HOSTS / NIMA_ALLOWED_ORIGINS); the shipped fly.toml locks Host to the deploy hostname (add custom domains there). The Fly machine also caps concurrency so a flood sheds load instead of OOMing. Behavioral guardrails (don't fabricate, treat queries as data) belong in the consuming host's system prompt and are served from career://guidance.

Deploy (Fly.io)

fly launch --no-deploy   # or edit fly.toml: set app name + region
fly deploy

The container runs uvicorn nima_career_mcp.server:app (the middleware-wrapped Streamable- HTTP app). The shipped fly.toml keeps one machine always warm (min_machines_running = 1, no cold starts) while extra machines autostart/autostop under load. After deploy, smoke-test with the MCP Inspector:

npx @modelcontextprotocol/inspector   # then connect to https://nima-career-mcp.fly.dev/mcp

License

MIT — see LICENSE.