Skip to content

MCP_STATUS.md

Latest commit

 

History

History
55 lines (40 loc) · 3.07 KB

MCP_STATUS.md

File metadata and controls

55 lines (40 loc) · 3.07 KB
Raw

RFlect MCP — Status & Tool Inventory

Last Updated: May 28, 2026 Current Version: v5.0.0 Status: Stable

Zero-dependency by design

As of v5.0.0, RFlect makes no outbound LLM/API calls and requires no API key or paid subscription. It is a deterministic RF analysis + rendering toolkit. The in-app AI chat assistant, AI report generation, LLM provider abstraction, and encrypted API-key store were all removed.

When RFlect is driven over MCP, the AI agent (Claude Code, Cline, Continue, …) is the LLM. RFlect supplies computed data and rendering; the agent supplies any natural-language narrative. Report prose is data-driven by default, or authored by the agent and passed to generate_report via the narrative parameter.

MCP server (41 tools, 9 categories)

rflect-mcp/server.py exposes the following tool groups. See docs/mcp/tools-reference.md for signatures and return shapes.

Category Count Examples
Import 6 import_antenna_file, import_passive_pair, import_antenna_folder
Analysis 5 analyze_pattern, get_gain_statistics, compare_polarizations, get_horizon_statistics
Reports 3 generate_report, preview_report, get_report_options
Bulk 5 bulk_process_passive, bulk_process_active, convert_to_cst
UWB 3 calculate_sff_from_files, analyze_uwb_channel, get_impedance_bandwidth
Calibration Drift 8 cal_drift_ingest, cal_drift_compare, cal_drift_report
Orchestration 1 process_folder (v4.2.0)
Validation 1 analyze_iperf_angle_sweep (v4.3.0)
RF Analysis 6 compare_antennas, analyze_s11, analyze_group_delay, estimate_link_budget, analyze_mimo_diversity, generate_active_cal (v5.0.0)
Misc 3 get_measurement_details, validate_file_pair, help resource

Report narrative

generate_report produces deterministic, data-driven prose from the measurement data with no LLM involved. A driving agent may override any of the following via the narrative parameter (omitted keys fall back to the deterministic text):

  • executive_summary (str)
  • section_analysis ({measurement_name: str})
  • recommendations (str)
  • captions ({plot_filename: str})

Deterministic analysis core

All analysis math lives in plot_antenna/ (analysis_engine.py, calculations.py, uwb_analysis.py, cal_drift.py, file_utils.py) as pure functions. The MCP tools are thin wrappers that validate input, call these functions, and return structured dicts. They never make network or LLM calls and never raise — failures surface in a warnings list.

History

  • v5.0.0 — Removed the entire AI/LLM stack (chat, AI report generation, provider abstraction, API-key store). Added 6 RF-analysis MCP tools (comparison, S11, group delay, link budget, MIMO diversity, active-cal). generate_report gained the agent-authored narrative parameter. MCP tool count 35 → 41.
  • v4.3.0 — analyze_iperf_angle_sweep (multi-angle throughput validation).
  • v4.2.0 — process_folder single-call folder orchestration.