1.2.0
What's new on the BlazeMeter MCP
Failure criteria
- Read failure criteria on tests with a structured domain model and human-friendly labels (KPIs, operators, and rule fields) so agents can explain thresholds without exposing raw API codes first.
failure_criteria_meta— local, read-only catalog of KPIs, conditions, and rule fields (no BlazeMeter API call); use it to build valid rules before configuring.configure_failure_criteria— set or replace the full failure-criteria ruleset for a test (enable/disable, thresholds, sliding windows, stop-on-violation, and related options), with merge guidance when preserving existing rules.
Execution reporting and AI-assisted insights
ai_analysison the execution tool — start or poll BlazeMeter AI analysis for a finished (or running) execution; responses indicate when results are ready vs. still processing.read_anomalies_stats— anomaly statistics for an execution (status, counts, affected labels, per-anomaly context for LLMs), with clearer formatting and behavior when stats are unavailable for the account.read_summary— structured summary reports with normalized field names, metric explanations, and guidance aimed at better AI interpretation and troubleshooting (including pointers to relevant Skills where appropriate).read_errorsandread_request_stats— richer, more consistent formatting and context for agents; improved handling when report data is not available (including archived executions).read_all_reports— simplified aggregation of summary, errors, and request stats in one call.
Reliability, security, and compliance
- Stronger validation and alignment with documented tool/action schemas across managers (reduces invalid or ambiguous MCP calls).
- Security-focused hardening: safer handling of paths and HTML in help, traceback sanitization, token and HTTP request constraints, skills and upload paths, and expanded automated tests (including Windows in CI where applicable).
- Dependency updates, including MCP stack CVE remediation and refreshed lockfile; python-multipart bump.
- Mend (SCA) scanning in CI
Developer and distribution experience
- Deeplink install — one-click style links on README.md to add the MCP in supported clients (e.g. Cursor, VS Code).
- Docker — image pull policy updated so runs use
alwayspull for fresher images. - Project hygiene — updated license, SECURITY.md (clearer reporting process), logo, and Node.js 24 in GitHub Actions.
Full Changelog: v1.1.1...v1.2.0