Discovers MCP servers for a project and provides optional GA4, Vercel, GitHub, and Sentry connectors with ROI reporting.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ we're steadily working through the catalog.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Percept.
One install. Your agent discovers the rest.
Your Agent's App Store. The first B2A2H (Business โ Agent โ Human) platform โ starting with @perceptdot/core, a discovery layer that scans your project and recommends exactly which MCP servers to install. Then the servers themselves (GA4, Vercel, GitHub, Sentry) give your agent direct read access to external services, automatically measuring ROI and reporting savings to humans.
The agent discovers. The agent evaluates. The agent reports. The human just pays.
One command. Your agent finds the rest.
Add to your MCP config and restart:
Then ask your agent: "Discover MCP servers for this project."
@perceptdot/core Does@perceptdot/core is the discovery and recommendation layer. It scans your project and tells your agent which MCP servers are worth installing โ no manual browsing of registries.
| Tool | What it does | Quota |
|---|---|---|
percept_discover | Scan project, auto-recommend MCP servers based on signals | FREE |
percept_recommend | Search curated MCP server database by keyword or category | FREE |
percept_installed | List all MCP servers currently configured | FREE |
percept_roi_summary | Session ROI report for this server | โ |
percept_discover โ example outputYour agent reads this output, copies the ready-made JSON configs, and tells you what to install. Zero manual research.
@perceptdot/core โ Discovery Layer (NEW)Your agent's app store. Scans projects and recommends the right MCP servers automatically.
@perceptdot/ga4 โ Google Analytics 4Real-time and historical analytics, delivered in a single tool call.
| Tool | What it does | Tokens saved vs. manual |
|---|---|---|
ga4_overview | Sessions, users, pageviews, bounce rate, avg session duration | ~450 |
ga4_realtime | Active users right now + top live pages | ~300 |
ga4_top_pages | Top N pages by views | ~350 |
ga4_events | Event counts (clicks, conversions, signups) | ~400 |
percept_roi_summary | Session ROI report | โ |
@perceptdot/vercel โ Deployment MonitoringCheck deployment status without leaving the agent context.
| Tool | What it does | Tokens saved vs. manual |
|---|---|---|
vercel_deployments | Recent deployments with status and commit messages | ~200 |
vercel_latest_status | Instant pass/fail on the most recent deploy | ~150 |
vercel_projects | All projects with latest deploy state | ~180 |
percept_roi_summary | Session ROI report | โ |
@perceptdot/github โ Repository IntelligencePRs, issues, and CI status without context switching.
| Tool | What it does | Tokens saved vs. manual |
|---|---|---|
github_prs | Open PRs with review status (up to 20) | ~400 |
github_pr_detail | Full PR diff stats, approvals, file changes | ~350 |
github_workflows | Recent CI/CD run status (up to 10) | ~300 |
github_issues | Open issues, filterable by label | ~350 |
percept_roi_summary | Session ROI report | โ |
@perceptdot/sentry โ Error MonitoringSurface errors and regressions directly in agent context.
| Tool | What it does | Tokens saved vs. manual |
|---|---|---|
sentry_issues | Recent unresolved issues by priority | ~380 |
sentry_issue_detail | Full stack trace and event count | ~420 |
sentry_releases | Release list with crash-free rate | ~250 |
percept_roi_summary | Session ROI report | โ |
Claude Code (~/.claude/settings.json or .mcp.json):
Restart your MCP client. No account required for the Free plan.
Every @perceptdot/* package tracks its own calls and token savings locally. No data leaves your machine unless you opt into Pro analytics.
Every percept_roi_summary call returns a report like this โ automatically, at the end of each session:
The agent computes this. The human receives it. No dashboard needed.
B2A2H (Business โ Agent โ Human) is a commerce model where AI agents evaluate, adopt, and recommend tools โ and humans only approve the payment. The term was first defined by perceptdot in March 2026.
Most developer tools are built B2H (Business โ Human): a human discovers, evaluates, installs, configures, and monitors a product.
B2A2H flips this:
Factual signals from GitHub, npm, and our automated checks โ not a rating.
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