Ololand Dd MCP server
online · 100% uptimeio.github.aniebyl/ololand-dd·v1.0.1OloLand M&A intelligence — 33 tools for deal analysis, valuation, risk, and cross-deal learning.
0 stars72 downloads/wk
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Ololand Dd tools
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Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan2 source files scanned25/25
- Live reliabilityremote reachable in 139ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 2 days ago15/15
- Maintainer identitynamespace and repository owner differ; GitHub account older than a year6/10
How Ololand Dd compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 95/100
- higher than 97% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 109 ms
- faster than 82% of 30,031 servers
- Downloads a week
- 72
- more than 55% of 12,191 servers with a package
Install Ololand Dd in Claude Code, Cursor or VS Code
claude mcp add --transport http ololand-dd https://ma-workbench-api-303576587005.us-central1.run.app/mcp
What the publisher says
From the Ololand Dd repository's README, as published. We do not edit it. Read it on GitHub
OloLand Plugins
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.
Plugins in this marketplace
The plugins compose additively with each other and with Anthropic's first-party finance plugins.
Maintainer workflow
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.shSee docs/plugin-publishing.md for the full release process.
Prerequisites
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.
Two account rails
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.
What happens on first install (no env var setup needed)
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Ololand Dd: common questions
- Is Ololand Dd MCP server safe?
- Yes, by our scan: it is graded A (95/100). Read the Ololand Dd safety report
- How do I install Ololand Dd?
- It runs remotely at ma-workbench-api-303576587005.us-central1.run.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Ololand Dd need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is Ololand Dd maintained?
- The last commit was 39 days ago (2026-09-25). The latest release is v1.0.1.
- Is Ololand Dd up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Ololand Dd?
- Servers from other publishers that do the same job: Sem MCP server.
- How does Ololand Dd compare with other MCP servers?
- safety score 95/100 (higher than 97% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 109 ms (faster than 82% of 30,031 servers). Full comparison.
Alternatives to Ololand Dd
Same job from other publishers: the closest match first, then the best rated.
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