Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

io.github.furkanisikay/ardupilot-mcp

PYPI · ARDUPILOT-MCP

Diagnoses ArduPilot flight logs (.bin and .tlog) over the Model Context Protocol.

Available components

+3 this week 85 Trust /100

Last scanned (14 hours ago)

Scores higher than 88% of PyPI servers

Category IoT and Hardware

Trust breakdown (7 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 → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to furkanisikay/ardupilot-mcp). View diagnostics → Pass
  • Clear OSI-approved license (AGPL-3.0-only).Pass
  • Actively maintained (last published 17 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability60
  • AI-judged instruction clarity (fair).Partial
  • Context-footprint check failed: tool/resource definitions use about 1407 tokens (~117/item across 12 items; 12 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management60
  • Stability observed for 18 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
What we tested

Checks we ran (16)

  • Malware scan
  • Known CVEs
  • Install scripts
  • Dependency health
  • Source repository
  • Provenance
  • License
  • Maintenance
  • Security disclosure
  • Schema quality
  • Stability
  • Tool coverage
  • Injection markers
  • Destructive annotations
  • Judged manipulation
  • MCP protocol

Does not apply to this package (2)

  • Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
  • Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.

The score does not measure everything. What the score does not measure →

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.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Nov 26 0
    • Package version: 0.1.2 → 1.0.0 functional
  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

  • 23 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

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 5 Nov 2026 · Analysed pypi/ardupilot-mcp@1.0.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo furkanisikay/ardupilot-mcp
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/furkanisikay/ardupilot-mcp/.github/workflows/publish.yml@refs/heads/main
Rekor log index 3312508936
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:4778413e6ec1bfa2131801f72f119346c32dbf7d3c68d7cfc145843b5a350678

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend Known build tool hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 32 packages
Packages resolved 32
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 12 exposed · ~1,286 tokens

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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
analyze_log ~200

Run the full deterministic diagnostic suite over an ArduPilot .bin log (or a ground station's .tlog). A .tlog is the telemetry the ground station received: a few Hz, the primary sensor and EKF core only, and gaps where the radio link dropped. Checks that would read a link dropout as a vehicle fault (log integrity, timing) are skipped on it; prefer the onboard .bin when the user has it. Returns severity-ranked findings (each with concrete evidence AND official ArduPilot doc links), per-check results, a plain-language summary, and `guidance`. Read the cited references for the log's firmware version, call `vehicle_profile` for the airframe's physical configuration, and fold in any real-world details the user gives — then explain and cite sources. Every finding is grounded in the log; do not invent causes beyond them.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
checks_skippedarray––
critical_countinteger––
findingsarray–All findings, sorted by severity (most severe first).
guidancestring–How the LLM should use this report: read the cited docs for the log's firmware version, factor in the vehicle_profile (frame, motors, battery, power margin) and any physical details (weight, prop siz…
incident––Onset/impact summary when the log shows an anomaly while armed; the full event list is available from the incident_timeline tool.
info_countinteger––
log_summary–yes–
logging_advicearray–Copter/Heli: LOG_BITMASK bits that are off and whose data a check needed.
referencesarray–De-duplicated documentation links across all findings.
resultsarray–Per-check outcomes, including skipped/errored checks.
summary_textstring–Deterministic summary skeleton. The LLM enriches this; it never invents findings.
warn_countinteger––

No examples provided.

compare_logs ~122

What changed between two logs of the same vehicle ("it flew fine last week")? Lists configuration parameters that differ (separately from values the autopilot learns/counts itself), parameters present in only one log, the firmware change, and flight metrics side by side (vibration, hover throttle, battery/board voltage minimums). Differences only — it does not judge which side is right. By convention A is the earlier/good flight and B the later/bad one.

NameTypeReqDescription
path_astringyes–
path_bstringyes–
NameTypeReqDescription
addedarray–Parameters only in log B.
changedarray–Configuration parameters whose value differs (user changes).
firmware_a–––
firmware_b–––
firmware_changedboolean––
learned_changedarray–Values the autopilot learns or counts itself (STAT_*, MOT_THST_HOVER, gyro offsets...).
metricsobject–Flight metrics side by side.
notesarray––
path_astringyes–
path_bstringyes–
removedarray–Parameters only in log A.

No examples provided.

forum_report ~100

A Markdown reply to paste into a discuss.ardupilot.org thread: vehicle and firmware, what went wrong first (onset and impact), the findings with their corroborating log records, and a small text plot of the data behind each one. It contains no GPS positions and is returned as text (nothing is written to disk). Review it with the user and add what they saw before they post it.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
markdownstringyesPaste-ready Markdown: vehicle, what went wrong first, findings with text plots. Contains no GPS positions.
pathstringyes–

No examples provided.

get_params ~187

Parameter values recorded in the log's PARM dump. ``name_glob`` is a case-insensitive glob, e.g. 'INS_HNTCH_*'. Includes `total` (full param count), `metadata_url` (version-specific definitions to interpret values), and a `note` if the snapshot looks incomplete (truncated log) — in which case ask the user for their exported .param file and read it with `load_param_file`. `documented` gives each returned param's documented range, units, listed values and bitmask bits for the log's firmware (bundled, offline); a value outside the documented range or list is not necessarily wrong (some defaults, e.g. 0 = disabled, lie outside). `undocumented` names params that release does not document.

NameTypeReqDescription
name_glob–––
pathstringyes–
NameTypeReqDescription
documentedobject–Bundled documented metadata of the returned params (when at most 200 are returned).
matchedinteger–Params returned after the name filter.
metadata_url––Version-specific parameter definitions (apm.pdef.xml) — meanings, ranges, values and bitmasks (not defaults). The LLM should consult this to interpret values.
metadata_version––Which bundled release `documented` comes from, and how it matches the log's firmware.
note––Completeness caveat (e.g. truncated log -> snapshot may be partial).
paramsobject––
pathstringyes–
sourcestring–'log' (PARM dump) or 'file' (exported .param).
totalinteger–Total params available in the source (before filtering).
undocumentedarray–Returned params the release documents nowhere: script-added params, typos, or another firmware's params.

No examples provided.

incident_timeline ~113

What went wrong first, and what followed: the onset (first anomaly while armed), the impact (crash check, crash disarm, or the log ending while armed), and every firmware verdict, error, failsafe mode change and finding in time order, each tagged before_onset / onset / after_onset / impact / after_impact. Use it to answer "what failed first, and is the rest just the crash?". Time order only — never causation.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
caveatsarray––
conditionsarray–WARN+ findings that describe the whole flight or configuration (compass statistics, parameters, boot messages, flight-long windows): context, never the onset.
eventsarray––
first_anomaly_check_id––Check (or 'firmware'/'err'/'mode') of the onset event.
impact_basis–––
impact_s––Time of the crash/impact, when the log shows one.
log_ended_armedboolean––
onset_basis––The event that marks the onset.
onset_s––Time of the first anomaly while armed.
pathstringyes–

No examples provided.

list_checks ~19

List the registered diagnostic checks (the extensible catalogue).

Input schema present but exposes no named parameters.

NameTypeReqDescription
checksarray––
totalinteger––

No examples provided.

list_events ~62

Decoded ERR/MODE/EV/MSG timeline. ``kinds`` filters families (ERR, MODE, EV, MSG); times are seconds.

NameTypeReqDescription
end_s–––
kinds–––
pathstringyes–
start_s–––
NameTypeReqDescription
eventsarray––
pathstringyes–
totalinteger––

No examples provided.

load_param_file ~141

Load a user-exported ArduPilot parameter file (.param / .params). The authoritative *complete* configuration — use it when the log's PARM snapshot is truncated/incomplete, or to compare the flown config (get_params) against the user's current/intended config. ``name_glob`` filters. ``firmware`` (e.g. 'ArduCopter V4.6.3', from the log's log_summary) attaches the documented metadata and lists names that release does not document (typos, script or other-firmware params).

NameTypeReqDescription
firmware–––
name_glob–––
pathstringyes–
NameTypeReqDescription
documentedobject–Bundled documented metadata of the returned params (when at most 200 are returned).
matchedinteger–Params returned after the name filter.
metadata_url––Version-specific parameter definitions (apm.pdef.xml) — meanings, ranges, values and bitmasks (not defaults). The LLM should consult this to interpret values.
metadata_version––Which bundled release `documented` comes from, and how it matches the log's firmware.
note––Completeness caveat (e.g. truncated log -> snapshot may be partial).
paramsobject––
pathstringyes–
sourcestring–'log' (PARM dump) or 'file' (exported .param).
totalinteger–Total params available in the source (before filtering).
undocumentedarray–Returned params the release documents nowhere: script-added params, typos, or another firmware's params.

No examples provided.

log_summary ~35

Cheap orientation: vehicle, firmware, duration, message counts, flight modes, max altitude, integrity.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
available_messagesarray––
board–––
duration_s–––
firmware_version–––
flight_modesarray––
integrity–––
integrity_detail–––
max_altitude_m––Highest altitude above home/take-off (m) — not AMSL.
message_countsobject––
pathstringyes–
sourcestring–'dataflash' (the onboard .bin log) or 'tlog' (a ground station's MAVLink telemetry log).
start_time_s–––
vehicle_type–––

No examples provided.

query_timeseries ~158

Numeric time series for a message type and fields, for drilling into a finding. Multi-instance messages (VIBE/IMU per IMU, GPS per receiver, MAG per compass, BAT per battery, XKF* per EKF core) are returned one instance at a time: pass ``instance`` (default: the first one; see ``available_instances``). Values are aligned with ``times_s`` by index. Downsamples (decimates) to at most ``max_points`` points.

NameTypeReqDescription
end_s–––
fieldsarrayyes–
instance–––
max_pointsinteger––
message_typestringyes–
pathstringyes–
start_s–––
NameTypeReqDescription
available_instancesarray–Instances this message type has in the log (e.g. one per IMU/GPS).
downsampledboolean––
fieldsarrayyes–
instance––Sensor/core instance returned (multi-instance messages only).
message_typestringyes–
note–––
pathstringyes–
sample_countinteger––
seriesobject–One value per entry of times_s (aligned by index); null where a record lacks the field.
times_sarray––

No examples provided.

recommend_tuning ~57

Advisory tuning recommendations (harmonic notch from the batch sampler, a fast IMU, the in-flight FFT or ESC RPM; PID; autotune). Recommendation ONLY — never applied.

NameTypeReqDescription
area–––
pathstringyes–
NameTypeReqDescription
notesarray––
pathstringyes–
recommendationsarray––

No examples provided.

vehicle_profile ~92

Physical / architecture profile of the aircraft inferred from the log. Frame class & type, motor count, battery cells/capacity, and — the key physical insight — the hover throttle and resulting power margin / thrust-to-weight. Use this to reason about the craft physically and to combine with real-world details the user gives (weight, prop diameter, motor KV, wind).

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
assessmentarray–Plain-language physical observations (e.g. 'underpowered').
battery_capacity_mah–––
battery_cells––Estimated LiPo cell count (S).
firmware_version–––
frame_class–––
frame_class_name–––
frame_type–––
frame_type_name–––
hover_throttle––Throttle (0..1) needed to hover; from MOT_THST_HOVER or measured.
max_voltage_v–––
motor_count––Number of lift motors implied by the frame.
nominal_voltage_v–––
notesarray––
pathstringyes–
power_margin_pct––Spare throttle above hover (100*(1-hover)); low = underpowered.
referencesarray––
thrust_to_weight_estimate––Rough max-thrust/weight (~1/hover_throttle).
vehicle_kind–––
vehicle_type–––

No examples provided.

Install

How do I install the io.github.furkanisikay/ardupilot-mcp server?

io.github.furkanisikay/ardupilot-mcp runs locally as a PyPI package, launched with uvx ardupilot-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · ardupilot-mcp

# add to Claude Code
claude mcp add furkanisikay-ardupilot-mcp -- uvx ardupilot-mcp
Common questions

What is the io.github.furkanisikay/ardupilot-mcp server?

io.github.furkanisikay/ardupilot-mcp is listed in the public MCP registry as io.github.furkanisikay/ardupilot-mcp. Diagnoses ArduPilot flight logs (.bin and .tlog) over the Model Context Protocol. This page covers its PyPI package (ardupilot-mcp).

Is the io.github.furkanisikay/ardupilot-mcp server safe to use?

io.github.furkanisikay/ardupilot-mcp scores 85 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.furkanisikay/ardupilot-mcp server expose?

io.github.furkanisikay/ardupilot-mcp exposes 12 tools: analyze_log, incident_timeline, forum_report, compare_logs, log_summary, and 7 more. Their descriptions and schemas cost roughly 1,286 tokens of context every time the server is loaded.

Is the io.github.furkanisikay/ardupilot-mcp server still maintained?

io.github.furkanisikay/ardupilot-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.furkanisikay/ardupilot-mcp server under?

io.github.furkanisikay/ardupilot-mcp declares the AGPL-3.0-only licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

What did VerifyMCP test on the io.github.furkanisikay/ardupilot-mcp server?

VerifyMCP ran 16 checks on io.github.furkanisikay/ardupilot-mcp, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.