Agentmetry vs MCP Skills: Which is Better in 2026?
A comprehensive comparison of Agentmetry and MCP Skills covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Agentmetry if:
- →You need records agent activity at the tool boundary or mitre att&ck technique tagging per event
Choose MCP Skills if:
- →You need a broader feature set (8 features vs 6)
- →You need 15 trust signals across 4 dimensions scored per repository or verified / established / new tiering with explicit thresholds and disqualifiers
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Agentmetry vs MCP Skills: At a Glance
Pricing Comparison: Agentmetry vs MCP Skills
Understanding the pricing differences between Agentmetry and MCP Skills is crucial for making the right choice. Here's how their plans compare side by side.
Agentmetry Pricing
MCP Skills Pricing
💡 Pricing takeaway: Both Agentmetry and MCP Skills offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Agentmetry and MCP Skills stacks up.
What Makes Each Tool Unique
🔵 Unique to Agentmetry
Features available in Agentmetry but not in MCP Skills:
- ✓Records agent activity at the tool boundary
- ✓MITRE ATT&CK technique tagging per event
- ✓Sequence correlation into single critical alerts
- ✓Runs fully local with zero cloud calls
- ✓Secret values excluded from the trail
- ✓SIEM-readable output format
🟣 Unique to MCP Skills
Features available in MCP Skills but not in Agentmetry:
- ✓15 trust signals across 4 dimensions scored per repository
- ✓Verified / Established / New tiering with explicit thresholds and disqualifiers
- ✓2,631 repositories scored across 5 registries
- ✓Safety Lab for running deeper checks on a server
- ✓Embeddable live trust badges and claimable Verified badges for maintainers
- ✓Monitoring so a repo's score change alerts you after install
- ✓API access for wiring trust checks into workflows
- ✓Published original research on malicious skills and ecosystem flaw rates
Use Case Recommendations
Best for: Agentmetry
Agentmetry is a local flight recorder for AI coding agents, written for the security engineer who found out their company was running Cursor by reading a pull request. Endpoint detection sees a process; it does not see that an agent read a private SSH key and then made an outbound network call in the same session. Agentmetry records agent activity at the tool boundary — every read, shell command and fetch — correlates the sequence, tags it against MITRE ATT&CK technique IDs, and raises a single critical alert for the pattern rather than a stream of individually unremarkable events. The worked example on the homepage is exactly that: a `cat ~/.ssh/id_rsa` read tagged T1552.004, an `aws configure list` shell call tagged T1059 with DLP flagging an AWS access key, and a WebFetch to a paste site tagged T1071.001, correlated into one credential-exfil finding. Secret values themselves are never written to the trail. It runs entirely on the machine with zero cloud calls, ships nine detection rules in the current phase, and emits in a format existing SIEMs already read, so it slots into an established pipeline rather than becoming another console. Install is a git clone plus `pip install -e`, with a PowerShell installer for Windows. The whole thing is Apache-2.0 open source with the code public, which matters for a tool whose entire value proposition is that it watches privileged activity.
Ideal use cases:
- •Teams or individuals who need records agent activity at the tool boundary
- •Teams or individuals who need mitre att&ck technique tagging per event
- •Teams or individuals who need sequence correlation into single critical alerts
- •Teams or individuals who need runs fully local with zero cloud calls
- •Anyone focused on security workflows
- •Anyone focused on agents workflows
Best for: MCP Skills
MCP Skills is a pre-install trust layer for MCP servers and agent skills. It turns public source, package, vulnerability, and supply-chain data into scored pages, trust badges, monitoring, and API workflows you can consult before an unknown tool reaches an agent. The reason it exists is documented on the site: OX Security submitted a benign proof-of-concept malicious MCP server to eleven public registries in April 2026, and nine of them — including LobeHub and Cursor Directory — published it with no security review. Only GitHub rejected it. MCP Skills scores each repository across fifteen trust signals grouped into four dimensions and assigns a tier: Verified means a composite of 7.0 or higher with dimension floors and no disqualifiers, Established means solid with caveats worth checking, and New means promising but unproven. It had scored 2,631 repositories across five registries as of late July 2026, and its own research found 1,184 malicious skills in the ClawHavoc incident and that 36.82% of skills carried at least one security flaw. Maintainers can claim a gold Verified badge on their score page or embed a live trust badge. Access is layered: a free tier allows ten scans per day with compact responses, a single full report costs $2, and Developer Pro adds monitoring and API keys.
Ideal use cases:
- •Teams or individuals who need 15 trust signals across 4 dimensions scored per repository
- •Teams or individuals who need verified / established / new tiering with explicit thresholds and disqualifiers
- •Teams or individuals who need 2,631 repositories scored across 5 registries
- •Teams or individuals who need safety lab for running deeper checks on a server
- •Anyone focused on mcp workflows
- •Anyone focused on supply-chain workflows
🛡️ Other AI Security & Testing Tools to Consider
Agentmetry and MCP Skills aren't the only options. Here are other popular tools in the same space:
Lineation
Security control plane for AI agents — zero-trust agent identity, LLM and MCP gateways, policy-as-code, and prompt-injection defense
Axtary
Payload-bound authorization for AI agents — human approval is cryptographically tied to the exact action, so a changed payload is denied
Tracecat
Open-source SOAR for AI-native security teams — agents, cases, and workflows with human approval gates
Trestle
Local secret scanner with an MCP server so coding agents check their own output
ZeroLeaks
Continuous AI red teaming for agents, endpoints and MCP tools, with unlimited scans on every plan
Bot Butcher
LLM-based spam classification API for contact forms — a reCAPTCHA alternative with no visitor friction
Is one of these your tool?
This page ranks for "Agentmetry vs MCP Skills" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Agentmetry better than MCP Skills?
It depends on your needs. Agentmetry offers 6 key features including Records agent activity at the tool boundary and MITRE ATT&CK technique tagging per event, while MCP Skills provides 8 features including 15 trust signals across 4 dimensions scored per repository and Verified / Established / New tiering with explicit thresholds and disqualifiers. Agentmetry uses a open-source model with a free tier, while MCP Skills is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Agentmetry cheaper than MCP Skills?
Both tools are similarly priced, starting at Apache-2.0 open source, installed from GitHub. No paid tier or pricing page is published as of August 2026.. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Agentmetry and MCP Skills together?
Yes, many users combine Agentmetry and MCP Skills in their workflow. Agentmetry excels at records agent activity at the tool boundary, while MCP Skills shines with 15 trust signals across 4 dimensions scored per repository. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Agentmetry and MCP Skills?
While both are ai security & testing tools, Agentmetry emphasizes records agent activity at the tool boundary, whereas MCP Skills is known for 15 trust signals across 4 dimensions scored per repository. The best choice depends on your specific workflow and feature priorities.
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