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io.github.agentmark-ai/mcp-server

NPM · @AGENTMARK-AI/MCP-SERVER · SCANNED AUG 8

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npm · @agentmark-ai/mcp-server 45
+40 this week 45 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 30 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
  • Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
  • Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
  • Clear OSI-approved license (AGPL-3.0-or-later).Pass
  • Actively maintained (last published 45 days ago).Pass
  • Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability0
  • Instruction-quality not yet verified: the AI judgement didn't run.Unverified
  • Nothing to assess: this server exposes no tool/resource definitions to measure a footprint for. See how to fix → Fail
  • Nothing to assess: this server has no tools to check for usage examples. See how to fix → Fail
Stability & Change Management43
  • Stability observed for 13 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage0
  • Nothing to assess: this server exposes no tools, so there are no tool definitions to check for coverage.Fail
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @agentmark-ai/mcp-server

# add to Claude Code
claude mcp add agentmark-ai-mcp-server -- npx -y @agentmark-ai/mcp-server
# add to Codex CLI
codex mcp add agentmark-ai-mcp-server -- npx -y @agentmark-ai/mcp-server
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agentmark-ai-mcp-server": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@agentmark-ai/mcp-server"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add agentmark-ai-mcp-server --command npx --arg -y --arg @agentmark-ai/mcp-server
# ~/.hermes/config.yaml
mcp_servers:
  agentmark-ai-mcp-server:
    command: "npx"
    args: ["-y", "@agentmark-ai/mcp-server"]
// mcp.json
{
  "mcpServers": {
    "agentmark-ai-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@agentmark-ai/mcp-server"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 8 Aug 26 +4
    • Known CVEs: partial → pass ▲ security
    • Dependency health: partial → 0.85 functional
  • 7 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

  • 5 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +33
    • Provenance: unverified → fail ▼ security
    • Malware scan: unverified → pass ▲ security
    • Install scripts: unverified → pass ▲ security
    • Known CVEs: unverified → partial ▲ security
    • Stability: unverified → 0.23 ▲ functional
    • License: unverified → pass ▲ functional
    • Dependency health: unverified → partial ▲ functional
    • Maintenance: unverified → pass ▲ functional
    • Licence: AGPL-3.0-or-later functional
  • 1 Aug 26 +5
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Jul 26 −18
    • Malware scan: pass → unverified ▼ security
  • 30 Jul 26 0
    • Tool coverage: unverified → fail ▼ functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 8 Aug 2026 · Analysed npm/@agentmark-ai/[email protected]

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm
Dependencies 96 packages
Packages resolved 96
Stale 30
Tree resolution Complete
MCP tools

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

The sandbox run completed and this package exposed no tools.