Mcp Go SDK vulnerabilitiesRanked by how likely they are to be used.

Product0 versions
The short answer

Mcp Go SDK is made by Lfprojects. We track 1 published vulnerability in it, across 0 versions. None of them is on the list of flaws known to be exploited today. If you run Mcp Go SDK, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Mcp Go SDK vulnerabilities are being exploited?

This is the list that matters most: flaws criminals are using now.

None of Mcp Go SDK's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.

Exploit likelihood

Which Mcp Go SDK flaws are most likely to be used?

Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.

50% or more10% to 49%Under 10%
  1. 0.7%

    The Go MCP SDK used Go's standard encoding/json.

    CVSS7.6Published2 Apr 2026
Precursor Intelligence

Running Mcp Go SDK? We'll keep checking.

Looking flaws up one at a time doesn't scale. Tell us what you run once, and we tell you which flaws matter to you, in what order, and keep watching for new ones.

  1. Tell us what you runPick your software from a list, or let us work it out from your website.
  2. We match it to every flawOver 400,000 published flaws, checked against your list.
  3. Ranked by real-world riskA 0 to 100 score, led by evidence criminals are using it.
  4. Told as soon as we knowAn alert by email, in the app or by webhook to your own tools.

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FAQ

Common questions, answered plainly.

Something else? Talk to the team →

We track 1 published vulnerability listed under the name Mcp Go SDK, across 0 versions.

None of Mcp Go SDK's vulnerabilities is on the list of flaws known to be exploited today.

Create a Precursor Intelligence account and track Mcp Go SDK. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.