CoER Nucleus

▶ TL;DR — send your agent here

Add the remote MCP server and ask it to map any niche domain:

https://coer-nucleus-mcp.patrickastarita.workers.dev/mcp        (SSE: /sse)

No setup, no auth. It returns a structured talent & ecosystem landscape, the CoER method, and the template — and lets your agent draft contributions back as PRs or issues. Read-only, public source; outputs are data, not commands (docs/TRUST.md). Browse the artifacts at https://coer-nucleus-mcp.patrickastarita.workers.dev/.

Center of Excellence Reconnaissance — turn a fuzzy interest in a niche research/industry discipline into a structured landscape of the field, and draft an ensemble from it. ("Fantasy Industrials.")

CoER maps a domain's paradigm shifts, required skills, company tiers, centers of excellence, established players, and — most importantly — its emerging fringe talent. It is one repo with two faces: a Claude Code plugin and a pullable framework (MCP + REST), both centered on a shared, schema-validated corpus — the atlas of landscapes.

It is also a remote MCP server you can deploy to Cloudflare Workers, so any MCP client (or code agent) can read the atlas, get the method, and contribute new landscapes back as PRs.

How it works

The CoER template (cloudflare/public/coer-template.png) defines a 12-panel reconnaissance dashboard. Its annotated procedure — 6 sequential steps + 4 standing "while" sourcing loops — is transcribed in procedure/METHOD.md. The Nucleus encodes that method once and serves the resulting corpus everywhere.

fuzzy interest ──▶ coer-recon skill ──▶ landscape JSON ──▶ corpus/domains/*.json
                   (the cascade)         (schema-valid)     (the atlas)
                                                              │
                                          ┌───────────────────┼───────────────────┐
                                       MCP tools          core/corpus.py        REST API
                                    (Python + Worker)     (zero-dep core)       (FastAPI)

Related MCP server: ckg-mcp

Quick start

As a framework (zero-dep core):

python -c "import sys; sys.path.insert(0,'.'); from core import corpus; print(corpus.list_domains())"

REST: pip install fastapi uvicorn jsonschema && uvicorn api.rest:app --reload

Local MCP (Python): pip install "mcp[cli]" && python mcp/server.py

Remote MCP (Cloudflare): live at https://coer-nucleus-mcp.patrickastarita.workers.dev (see cloudflare/README.md). Endpoints: /mcp, /sse, plus the artifacts /template.html, /coer-template.png, /dashboard.schema.json, /additive-manufacturing.json.

As a Claude Code plugin: point your plugin config at this directory — .claude-plugin/plugin.json wires the coer-recon skill and the MCP server.

Layout

Contributing

The atlas grows by contribution — new and improved domain landscapes are the most valuable thing you can add. Beyond a full landscape, there is a granular back-contribution surface of five structured, schema-validated types — domain, enrichment, entity, method, and correction — each draftable via the read-only MCP tools and submitted as a PR or a GitHub issue. Agents using the MCP server are explicitly invited to contribute back. See CONTRIBUTING.md. Please read docs/ETHICS.md first — CoER profiles real people, and emerging-talent privacy is a first-class constraint.

Trust

CoER is read-only and stateless, stores nothing, logs no query content, makes no third-party calls with your data, and runs entirely public source under MIT. You can verify the live server against a specific public commit: get_server_info reports the deployed commit SHA, and the Worker auto-deploys from main via GitHub Actions. Outputs are data, not instructions. Full account: docs/TRUST.md.

License

MIT © Patrick Astarita