io.github.dropflyai/fitfly-engine
REMOTE · WORKOUT-ENGINE-PRODUCTION-5DD7.UP.RAILWAY.APP · SCANNED OCT 4
Deterministic fitness coaching engine: adaptive programs, progression math, readiness autoregulation
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 10 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability75
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 621 tokens (~62/item across 10 items; 10 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage78
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 35% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.dropflyai/fitfly-engine MCP server?
io.github.dropflyai/fitfly-engine is a hosted endpoint at https://workout-engine-production-5dd7.up.railway.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · workout-engine-production-5dd7.up.railway.app
claude mcp add --transport http dropflyai-fitfly-engine 'https://workout-engine-production-5dd7.up.railway.app/mcp'
{
"mcpServers": {
"dropflyai-fitfly-engine": {
"url": "https://workout-engine-production-5dd7.up.railway.app/mcp"
}
}
} {
"servers": {
"dropflyai-fitfly-engine": {
"type": "http",
"url": "https://workout-engine-production-5dd7.up.railway.app/mcp"
}
}
} [mcp_servers.dropflyai-fitfly-engine] url = "https://workout-engine-production-5dd7.up.railway.app/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dropflyai-fitfly-engine": {
"type": "remote",
"url": "https://workout-engine-production-5dd7.up.railway.app/mcp",
"enabled": true
}
}
} openclaw mcp add dropflyai-fitfly-engine --url 'https://workout-engine-production-5dd7.up.railway.app/mcp' --transport streamable-http
mcp_servers:
dropflyai-fitfly-engine:
url: "https://workout-engine-production-5dd7.up.railway.app/mcp" {
"McpServers": {
"dropflyai-fitfly-engine": {
"Transport": "http",
"Url": "https://workout-engine-production-5dd7.up.railway.app/mcp"
}
}
} assistant mcp add dropflyai-fitfly-engine -t streamable-http -u 'https://workout-engine-production-5dd7.up.railway.app/mcp'
{
"mcpServers": {
"dropflyai-fitfly-engine": {
"type": "http",
"url": "https://workout-engine-production-5dd7.up.railway.app/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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.
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Sept 26 +1
- Stability: 0.97 → pass security
- 26 Sept 26 −1
- Stability: pass → 0.97 functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 23 Sept 26 +1
- Stability: 0.97 → pass security
- 21 Sept 26 −1
- Stability: pass → 0.93 functional
- 28 Aug 26 0
- Injection markers: unverified → pass ▲ security
- Stability: unverified → pass ▲ security
- Transport: fail → pass ▲ security
- Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 10 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
- Endpoint reachability: not serving MCP → reachable ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- 27 Aug 26 0
- Endpoint reachability: reachable → not serving MCP ▼ security
- Stability: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Transport: pass → fail ▼ security
- Authorization: Authorisation not fully verified: no authorisation is required to connect, but we couldn't read the whole tool list to see what that exposes. security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
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 4 Oct 2026 · Probed https://workout-engine-production-5dd7.up.railway.app/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.up.railway.app | CN=YE2,O=Let's Encrypt,C=US | 27 Sept 2026 | 26 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 618edc56941aa1165ddb080bf9f799eb7c1 |
| SANs: *.up.railway.app, up.railway.app | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of workout-engine-production-5dd7.up.railway.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| railway.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://workout-engine-production-5dd7.up.railway.app/mcp | Verified | 200 | |
| http (plaintext) | http://workout-engine-production-5dd7.up.railway.app/mcp | HTTPS enforced | 301 | https://workout-engine-production-5dd7.up.railway.app/mcp |
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 →
changelog What the engine changed and why ~56
The 'what changed & why' feed — the engine's coaching decisions (volume bumps, deloads, swaps) in Coach Fly's voice. Use to explain to the athlete why their plan evolved.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
No output schema declared.
No examples provided.
get_program Get the active program ~19
The athlete's current multi-day program (render-ready).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_todays_session Get today's training session ~87
Today's workout: exercises, sets/reps, per-exercise load guidance and concrete target weights, plus nutrition targets and cycle status. Auto-applies the user's readiness check-in (autoregulation) if they've done one today. Call this to see what the athlete should do now.
| Name | Type | Req | Description |
|---|---|---|---|
| dayIndex | integer | – | Which program day (1-based). Defaults to the first day. |
No output schema declared.
No examples provided.
list_swap_options List same-area swap options for an exercise ~45
Valid alternatives for an exercise — same muscle group, filtered to the athlete's equipment/level/injuries. Use before swap_exercise.
| Name | Type | Req | Description |
|---|---|---|---|
| exerciseId | string | yes | – |
No output schema declared.
No examples provided.
log_workout Log completed sets ~93
Record what the athlete actually lifted. The engine runs progression (double-progression, e1RM), detects PRs, and returns per-exercise outcomes (established/progressed/held/deloaded) with next-time targets. Weights are in kg.
| Name | Type | Req | Description |
|---|---|---|---|
| dayIndex | integer | – | – |
| exercises | array | yes | Per-exercise completed sets (weights in kg). |
| goal | string | – | – |
No output schema declared.
No examples provided.
meal_plan Generate a meal plan ~73
A day of meals hitting the athlete's targets, USDA truth-checked (flags feasible=false with a note when macros are approximate). Slow (~15s AI call).
| Name | Type | Req | Description |
|---|---|---|---|
| dietaryStyle | string | – | – |
| exclusions | array | – | – |
| mealsPerDay | integer | – | – |
| trainingDay | boolean | – | – |
No output schema declared.
No examples provided.
nutrition_targets Get nutrition targets ~27
The athlete's daily calorie + macro targets, computed from body stats, activity, and goal.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
readiness_checkin Log a readiness check-in ~108
Record how the athlete feels today (energy, sleep, soreness — each 1–5). The engine scores readiness and, on the next get_todays_session, reshapes the workout accordingly (reduce volume / reduce intensity / recovery day). Returns the readiness score + modifier.
| Name | Type | Req | Description |
|---|---|---|---|
| energy | integer | yes | 1 drained … 5 great |
| sleep | integer | yes | 1 terrible … 5 great |
| soreness | integer | yes | 1 none … 5 very sore |
No output schema declared.
No examples provided.
regenerate_program Regenerate the program ~32
Rebuild the whole program from the stored profile (~20s AI generation). Use after a profile change or a plateau.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
swap_exercise Swap an exercise ~81
Replace an exercise with a valid same-area alternative. scope 'today' = just this session; scope 'program' = going forward. The new lift starts fresh (day-one calibration).
| Name | Type | Req | Description |
|---|---|---|---|
| dayIndex | integer | – | – |
| exerciseId | string | yes | – |
| scope | string | – | Default 'program'. |
| toExerciseId | string | yes | – |
No output schema declared.
No examples provided.
What is the io.github.dropflyai/fitfly-engine MCP server?
io.github.dropflyai/fitfly-engine is an MCP server listed in the public MCP registry as io.github.dropflyai/fitfly-engine. Deterministic fitness coaching engine: adaptive programs, progression math, readiness autoregulation. This page covers its hosted endpoint (https://workout-engine-production-5dd7.up.railway.app/mcp).
Is the io.github.dropflyai/fitfly-engine MCP server safe to use?
io.github.dropflyai/fitfly-engine scores 77 out of 100 on VerifyMCP. 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.dropflyai/fitfly-engine MCP server expose?
io.github.dropflyai/fitfly-engine exposes 10 tools: get_todays_session, readiness_checkin, log_workout, list_swap_options, swap_exercise, and 5 more. Their descriptions and schemas cost roughly 621 tokens of context every time the server is loaded.
Does the io.github.dropflyai/fitfly-engine MCP server require authentication?
No. We connected to io.github.dropflyai/fitfly-engine without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the io.github.dropflyai/fitfly-engine MCP server still maintained?
io.github.dropflyai/fitfly-engine is still listed as active in the MCP registry. We last reached this channel on 4 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.