mcp tool drift check
Third-party Model Context Protocol (MCP) servers often update their tool manifests without notice.
Free
Works with the AI Agents you already use
mcp tool drift check
Example session with this skill installed
Check if the MCP server at https://mcp.brave.com/search has any tool drift.
- Read your context and instructions
- Compiled the mcp tool drift
Live response from the Dominion Observatory free drift check (run just now):
{
"server": "https://mcp.brave.com/search",
"state": "NO_BASELINE",
"supported": null,
"tracked": false,
"baseline": null,
"drift_detected": null,
"next_step": {
"method": "POST",
"url": "https://dominionobservatory.com/api/drift/baseline",
"note": "Capture publishes the manifest and compares against the previous successful capture. First capture is not detected drift."
}
}
What this tells the agent
| Field | Value | Meaning |
|---|---|---|
state | NO_BASELINE | First observation of this endpoint - there is no earlier snapshot to compare against yet. |
drift_detected | null | No verdict possible on a first check. This is expected, not an error. |
supported | null | Compatibility is determined when a capture runs. |
Next step for the agent: record what the manifest looks like now, then re-run the same check after the server's next release. A later drift_detected: true means the tool names, descriptions or input schemas changed since the baseline - review the diff before letting your agent call the tools again.
For scheduled checks with email and webhook alerts instead of manual re-checks, the skill points to the US$29/server/month monitoring plan at https://dominionobservatory.com/monitor.
Connects securely to your tools. The creator never sees your data.
About this skill
Third-party Model Context Protocol (MCP) servers often update their tool manifests without notice. When tool names, descriptions, or input schemas change, your agent's pre-built calls break or hallucinate. This skill verifies the current state of any public MCP endpoint against known baselines to detect silent schema drift.
What it does
- Endpoint validation checks if a public MCP URL is compatible with standard list tools requests.
- Drift detection compares the live manifest against a recorded baseline to identify changes.
- Manifest snapshotting records a cryptographically signed state of the server for future comparison.
- Compatibility reporting identifies if an endpoint supports SSE or JSON responses over HTTPS.
- Verification allows agents to validate Ed25519-signed captures against a public JWKS.
How it works
- Locate the target MCP server's public endpoint URL.
- Execute a drift check via the Dominion Observatory API.
- Parse the JSON response to determine the
stateanddrift_detectedflag. - Review the
baselinemetadata if a previous snapshot exists to see what changed.
Frameworks & tools
This skill interacts with the Dominion Observatory API using standard HTTPS GET requests and handles JSON payloads. It is compatible with any agent environment capable of making web requests, such as Claude Code or Cursor.
Why this beats prompting it yourself
Prompting an agent to "check for changes" usually results in it just re-reading the current docs without a historical reference. This skill provides access to a persistent, signed version history that the agent cannot maintain on its own.
Use cases
- Verify MCP tool schemas before executing high-stakes autonomous actions.
- Debug integration failures when an MCP server starts returning validation errors.
- Monitor public MCP endpoints for breaking API changes during development.
- Audit the integrity of third-party tool definitions using signed captures.
Known limitations
Does not support authenticated endpoints, redirects, or IPv6-only hosts. Only works with unauthenticated JSON or SSE responses over HTTPS. Free checks are one-time and manual.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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