Sciple Platform
PYPI · SCIPLE-MCP · SCANNED SEP 20
Sciple platform MCP: services, dashboards, runbooks, tickets, environments, AWS cloud inventory.
Available components
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 Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 1 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency6
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 86 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
- Schema quality not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no schema to assess.Unverified
Stability & Change Management0
- Stability not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no schema to compare.Unverified
Tool Coverage0
- Tool coverage not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no tool definitions to assess.Unverified
Tool Safety0
- Tool safety not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no tool text to scan.Unverified
Capabilities0
- Protocol version not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we never saw its MCP handshake.Unverified
Unverified: 5 categories
Categories scored 0 because our sandbox run of this package has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →
How do I install the Sciple Platform MCP server?
Sciple Platform runs locally as a PyPI package, launched with uvx sciple-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 · sciple-mcp
claude mcp add navaganeshr-sciple-mcp -- uvx sciple-mcp
{
"mcpServers": {
"navaganeshr-sciple-mcp": {
"command": "uvx",
"args": [
"sciple-mcp"
]
}
}
} {
"servers": {
"navaganeshr-sciple-mcp": {
"command": "uvx",
"args": [
"sciple-mcp"
]
}
}
} codex mcp add navaganeshr-sciple-mcp -- uvx sciple-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"navaganeshr-sciple-mcp": {
"type": "local",
"command": [
"uvx",
"sciple-mcp"
],
"enabled": true
}
}
} openclaw mcp add navaganeshr-sciple-mcp --command uvx --arg sciple-mcp
mcp_servers:
navaganeshr-sciple-mcp:
command: "uvx"
args: ["sciple-mcp"] {
"McpServers": {
"navaganeshr-sciple-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"sciple-mcp"
]
}
}
} assistant mcp add navaganeshr-sciple-mcp -t stdio -c uvx -a sciple-mcp
{
"mcpServers": {
"navaganeshr-sciple-mcp": {
"command": "uvx",
"args": [
"sciple-mcp"
]
}
}
} 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.
- 17 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 16 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 13 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 7 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 5 Sept 26 0
- Security disclosure: unverified → fail ▼ functional
- 4 Sept 26 0
- Security disclosure: fail → unverified ▼ functional
- 3 Sept 26 +15
- Malware scan: unverified → pass ▲ security
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 20 Sept 2026 · Analysed pypi/sciple-mcp@0.8.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 33 packages
| Packages resolved | 33 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
Tools for package channels are captured by running the package in an isolated sandbox. The most recent sandbox run could not capture a tool list from this package.
What is the Sciple Platform MCP server?
Sciple Platform is an MCP server listed in the public MCP registry as io.github.navaganeshr/sciple-mcp. Sciple platform MCP: services, dashboards, runbooks, tickets, environments, AWS cloud inventory. This page covers its PyPI package (sciple-mcp).
Is the Sciple Platform MCP server safe to use?
Sciple Platform scores 16 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. 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.
Is the Sciple Platform MCP server still maintained?
Sciple Platform is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.