io.github.omkar9854/token_optimizer
PYPI · SLIMCTX · SCANNED SEP 20
Reversible context compression for AI agents: cut token usage up to 94%, originals retrievable
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 setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 62 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability76
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 161 tokens (~53/item across 3 items; 3 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
- Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
How do I install the io.github.omkar9854/token_optimizer MCP server?
io.github.omkar9854/token_optimizer runs locally as a PyPI package, launched with uvx slimctx. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · slimctx
claude mcp add omkar9854-token-optimizer -- uvx slimctx
{
"mcpServers": {
"omkar9854-token-optimizer": {
"command": "uvx",
"args": [
"slimctx"
]
}
}
} {
"servers": {
"omkar9854-token-optimizer": {
"command": "uvx",
"args": [
"slimctx"
]
}
}
} codex mcp add omkar9854-token-optimizer -- uvx slimctx
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"omkar9854-token-optimizer": {
"type": "local",
"command": [
"uvx",
"slimctx"
],
"enabled": true
}
}
} openclaw mcp add omkar9854-token-optimizer --command uvx --arg slimctx
mcp_servers:
omkar9854-token-optimizer:
command: "uvx"
args: ["slimctx"] {
"McpServers": {
"omkar9854-token-optimizer": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"slimctx"
]
}
}
} assistant mcp add omkar9854-token-optimizer -t stdio -c uvx -a slimctx
{
"mcpServers": {
"omkar9854-token-optimizer": {
"command": "uvx",
"args": [
"slimctx"
]
}
}
} 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.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Sept 26 −3
- Stability: pass → 0.77 functional
- 18 Sept 26 0
- Stability: 0.97 → pass security
- 17 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 16 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 15 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 14 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 12 Sept 26 −2
- Stability: pass → 0.80 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 20 Sept 2026 · Analysed pypi/slimctx@0.1.0
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 | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| 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 →
slimctx_compress ~96
Compress large tool output, logs, JSON, or file content before reasoning over it. Returns a compact version that preserves errors, outliers, and query-relevant content. If the result contains a [slimctx-ref ...] marker, the full original can be recovered with slimctx_retrieve.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | – | What you are looking for (steers relevance) |
| text | string | yes | Content to compress |
No output schema declared.
No examples provided.
slimctx_retrieve ~49
Recover the byte-exact original content for a [slimctx-ref <ref>] marker seen in previously compressed output.
| Name | Type | Req | Description |
|---|---|---|---|
| ref | string | yes | 24-char hex ref from a marker |
No output schema declared.
No examples provided.
slimctx_stats ~16
Token savings accumulated in this session.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
What is the io.github.omkar9854/token_optimizer MCP server?
io.github.omkar9854/token_optimizer is an MCP server listed in the public MCP registry as io.github.omkar9854/token_optimizer. Reversible context compression for AI agents: cut token usage up to 94%, originals retrievable. This page covers its PyPI package (slimctx).
Is the io.github.omkar9854/token_optimizer MCP server safe to use?
io.github.omkar9854/token_optimizer scores 64 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.
What tools does the io.github.omkar9854/token_optimizer MCP server expose?
io.github.omkar9854/token_optimizer exposes 3 tools: slimctx_compress, slimctx_retrieve, slimctx_stats. Their descriptions and schemas cost roughly 161 tokens of context every time the server is loaded.
Is the io.github.omkar9854/token_optimizer MCP server still maintained?
io.github.omkar9854/token_optimizer 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.
What licence is the io.github.omkar9854/token_optimizer MCP server under?
io.github.omkar9854/token_optimizer declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.