Remote MCP server to run your Atako AI agents: chat, projects, files, integrations and channels.
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 132 ms · Last checked
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Evidence for your next connection.
Independent measurements of remote MCP servers. Every observation has a timestamp.
Read-only probesMCP server · Code & DevOps
App Store opportunity data for coding agents: unmet demand, paying markets, build briefs.
2 failed · 8 not measured
Median of successful probes over 7 days
Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.
Tool definitions returned by this server
Independent monitoring
Outdated check
Last connection measurement is over 24 hours old. Current availability is unknown.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 4 | 1 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 3 | 1 | 0 |
Publisher identityCan the publisher be traced to its source? | 4 | 0 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Start using com.minradar/minradar
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http com-minradar-minradar https://minradar.com/mcpCapabilities
Explain the scoring formulas, weights, and the honest limitations of the data. Use when a user questions the numbers.
DiscoveredFind opportunities a single developer can realistically build: clear winnability plus an explicit single-user, local or offline core. Use when solo feasibility is the primary constraint.
DiscoveredRank App Store opportunities in apps that already have a large user base but whose users are clearly unhappy (unmet demand). Returns a ranked table with tier, score, rating and scale. Use this first when deciding what app to build.
DiscoveredProduce a ready-to-build product specification for an opportunity, formatted for a specific AI coding agent (codex, claude, or cursor). Includes the wedge, the verbatim complaints to fix, verified open-source accelerators, and a verification plan.
DiscoveredFull evidence dossier for one app: score breakdown, plain-language diagnosis, complaint themes with verbatim user quotes, review provenance, and matching open-source accelerators. Use after find_low_hanging_fruit to inspect a specific candidate.
DiscoveredReport local data coverage (apps, reviews, chart snapshots) and the last ingest run.
DiscoveredFind maintained, commercially reusable open-source projects for a niche, with license posture. Use to avoid rebuilding infrastructure and to check whether a dependency is safe to ship.
DiscoveredRank app categories by evidence that users already pay inside them: how many of its apps reach the store-wide Top-Grossing chart, how many charge upfront, paywall language in sampled reviews, and review depth. Call this before building to confirm a market monetises.
DiscoveredRecent measurements
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 332 ms | 8 |