OloLand M&A intelligence — 33 tools for deal analysis, valuation, risk, and cross-deal learning.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-aniebyl-ololand-dd": {
"command": "<see-readme>",
"args": []
}
}
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The underwriting layer inside Claude. Every hour of your diligence survives into the deal record.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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The verifier stack for buy-side underwriting, as Claude plugins.
This repo is OloLand's plugin marketplace for Claude Cowork (Claude Desktop) and Claude Code (CLI). It hosts the OloLand plugins that augment Anthropic's first-party finance plugin lineup (private-equity, financial-analysis, investment-banking, equity-research, wealth-management).
Anthropic ships breadth. OloLand ships depth. Same Cowork session. Deterministic computation. Defensible record.
| Plugin | Status | What it does |
|---|---|---|
ololand-dd | v1.6.1 | Institutional due diligence: deterministic financial engines, 246-category risk taxonomy, cross-document reconciliation, war-game RL strategy simulation, and a flywheel that retrains from analyst corrections. |
ololand-forensic-qoe | v0.2.0 | Forensic Quality-of-Earnings primitives as a standalone wedge SKU: Beneish, Benford, EBITDA bridge, journal-entry testing, lapping detection, working-capital deep dive. The Pre-LOI Forensic Screen — $7,500 / 72 hours, IC-defensible, vs Big-4 QoE at $150-500K / 4-8 weeks. |
ololand-compliance-hooks | v0.2.0 | Drop-in compliance, citation, and provenance hooks for Anthropic's Claude Cowork finance plugins. PreToolUse MNPI guard, PostToolUse citation enforcer, audit-log writeback. Populates the empty hooks/ scaffold Anthropic's verticals ship with. |
The plugins compose additively with each other and with Anthropic's first-party finance plugins.
This repository generates Claude and Codex plugin artifacts from canonical YAML
metadata. Edit marketplace.yaml and plugins/*/plugin.yaml, then run:
python3 -m pip install -r scripts/requirements.txt
python3 scripts/generate-plugin-artifacts.py
./scripts/check-plugin-artifacts.sh
See docs/plugin-publishing.md for the full release process.
The only thing you need is a free OloLand account. No env var setup, no manual API key creation. The plugins handle authentication via OAuth automatically when you install them.
| Rail | Cost | Access |
|---|---|---|
| Developer (free) | Sign up at https://app.ololand.ai/signup | Sandbox-only — full MCP tool access against the included sample deal (Paragon Flight School (Sample)). Unlimited calls. No payment, no credit card. |
| Platform (paid) | Pro $199/mo, Firm $800/seat/mo, or per-deal SKUs (see pricing) | Access to your own deals + cross-deal memory + outcome flywheel + production volumes |
You can install the plugins on a free Developer account and explore everything against the sample deal — DCF, LBO, Monte Carlo, forensic QoE, risk taxonomy, war-game, all of it. When you're ready to run on your own data, upgrade to a paid plan.
ololand MCP connector that points at OloLand's backendThat's it. The OAuth flow happens once and the connector is authenticated for that session and future ones.
If you're running the plugins in a headless environment (CI, server-side automation, custom MCP client that can't run OAuth), you can bypass OAuth with a manual agent key: