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io.github.shivam-app-developers/ai-optimizer

NPM · @AI-OPTIMIZER/CORE

MCP server that cuts AI coding agent token usage via framework-aware context optimization

Available components

0 this week 94 Trust /100

Last scanned (1 hour ago)

Scores higher than 97% of npm servers

Category Developer Tools

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 Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 30 of 94 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 shivam-app-developers/ai-optimizer). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 151 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 954 tokens (~86/item across 11 items; 11 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 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 Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "strip_bash_noise" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 11 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
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 0
    • Stability: 0.97 → pass security
  • 4 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Nov 26 −1
    • Stability: pass → 0.93 functional
  • 28 Oct 26 0
    • Stability: 0.97 → pass security
  • 27 Oct 26 0
    • Stability: pass → 0.97 functional
  • 21 Oct 26 0
    • Stability: 0.97 → pass security
  • 20 Oct 26 0
    • Stability: pass → 0.97 functional
  • 17 Oct 26 +2
    • Stability: 0.83 → pass security
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 npm/@ai-optimizer/core@0.1.0

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 npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo shivam-app-developers/ai-optimizer
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/shivam-app-developers/ai-optimizer/.github/workflows/release.yml@refs/tags/v0.1.0
Rekor log index 1739580074
Predicate type SLSA build provenance https://slsa.dev/provenance/v1
Subject digest sha512:f60b70a03b54ed9661e3b08a41e385361014ef81b2c2d784289de16d96c8c6c49fa77608348f07be6780d418ddceb747fa71219126dca051b23b2ae4e

Background: How many MCP packages publish verified provenance →

Dependencies 94 packages
Packages resolved 94
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 11 exposed · ~954 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
budget_reset ~27

Zeroes the per-session and per-day token counters. Use after intentionally clearing a budget breach.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

budget_status ~87

Reports the current per-session and per-day token consumption against configured caps. Caps are set via budgetCaps in .optimizerrc.json or AI_OPTIMIZER_BUDGET_PER_SESSION / AI_OPTIMIZER_BUDGET_PER_DAY env vars. When a cap is exceeded, optimized_read_file / list_files / grep / diagnostics refuse new calls until reset or until UTC midnight (day cap).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_optimizer_config ~53

Returns the merged effective configuration: defaults overridden by user-global config, then project .optimizerrc.json, then env vars. Use to check whether scheduling, work-stealing, telemetry, etc. are currently enabled.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

optimized_diagnostics ~103

Returns errors and warnings from the language server for a single file, plus narrow code slices around each diagnostic. Use this BEFORE calling optimized_read_file when the agent is trying to fix an error — it returns ~10 lines of context around each issue instead of the whole file. Detected frameworks: javascript

NameTypeReqDescription
contextLinesinteger–Lines of context around each diagnostic (default 10)
pathstringyesPath to the file, relative to project root

No output schema declared.

No examples provided.

optimized_grep ~119

Search file contents for a regex, scoped by directory and optional file glob, applying framework-aware ignore filters. Skips files larger than 2MB and caps at 100 matches. Detected frameworks: javascript

NameTypeReqDescription
directorystring–Directory to search, relative to project root
filePatternstring–Optional glob pattern to filter files, e.g. "**/*.ts"
flagsstring–Regex flags, e.g. "i" for case-insensitive
patternstringyesRegex pattern to search for

No output schema declared.

No examples provided.

optimized_list_files ~89

List files in a directory with framework-aware ignore filtering. Skips node_modules, .venv, build/, dist/, generated files, etc. Optionally pass a glob pattern to narrow results. Detected frameworks: javascript

NameTypeReqDescription
directorystring–Directory to list, relative to project root
patternstring–Optional glob pattern to filter results, e.g. "**/*.ts"

No output schema declared.

No examples provided.

optimized_read_file ~121

Read a file from the workspace with framework-aware filtering. Skips files matching framework ignore patterns or .gitignore. Use this instead of the built-in Read tool to reduce token usage. Optionally pass startLine/endLine (1-indexed, inclusive) to read only a slice. Detected frameworks: javascript

NameTypeReqDescription
endLineinteger–1-indexed end line (inclusive)
pathstringyesPath to the file, relative to the project root
startLineinteger–1-indexed start line (inclusive)

No output schema declared.

No examples provided.

optimizer_status ~29

Returns active framework packs, detected project type, gitignore status, and cumulative token savings for this session.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

read_symbol ~166

Resolves a symbol name (e.g. "UserRepository.getUser", "users::repository::get") via the language server's workspace/symbol API and returns just the symbol body. Use this when you need a function or class definition but not the rest of the file. Falls back to no-match when the LSP can't resolve the symbol. Detected frameworks: javascript

NameTypeReqDescription
contextLinesinteger–Lines of context to include before + after each symbol body
includeImportsboolean–Prepend leading imports / package / use lines from the file
maxMatchesinteger–Cap on number of symbol matches returned (default 5)
querystringyesSymbol name, optionally container-qualified (Foo.bar / Foo::bar / Foo#bar)

No output schema declared.

No examples provided.

set_optimizer_config ~93

Writes a partial config patch to the project-level .optimizerrc.json (merging with whatever is already there). User-global config and env vars are NOT modified — those are managed out-of-band. Behavior-changing flags (scheduling, workStealing, telemetry) require explicit opt-in via this tool — they are off by default.

NameTypeReqDescription
patchobjectyesPartial OptimizerConfig to merge into project config

No output schema declared.

No examples provided.

strip_bash_noise ~67

Removes ANSI color codes, npm/maven/gradle progress lines, JVM reflective-access warnings, and collapses carriage-return progress bars. Pass the raw stdout/stderr from a Bash tool call here BEFORE keeping it in context.

NameTypeReqDescription
outputstringyesRaw shell output to clean

No output schema declared.

No examples provided.

Install

How do I install the io.github.shivam-app-developers/ai-optimizer MCP server?

io.github.shivam-app-developers/ai-optimizer runs locally as an npm package, launched with npx -y @ai-optimizer/core. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @ai-optimizer/core

# add to Claude Code
claude mcp add shivam-app-developers-ai-optimizer -- npx -y @ai-optimizer/core
Common questions

What is the io.github.shivam-app-developers/ai-optimizer MCP server?

io.github.shivam-app-developers/ai-optimizer is an MCP server listed in the public MCP registry as io.github.shivam-app-developers/ai-optimizer. MCP server that cuts AI coding agent token usage via framework-aware context optimization. This page covers its npm package (@ai-optimizer/core).

Is the io.github.shivam-app-developers/ai-optimizer MCP server safe to use?

io.github.shivam-app-developers/ai-optimizer scores 94 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. 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.shivam-app-developers/ai-optimizer MCP server expose?

io.github.shivam-app-developers/ai-optimizer exposes 11 tools: optimized_read_file, optimized_list_files, optimized_grep, optimized_diagnostics, read_symbol, and 6 more. Their descriptions and schemas cost roughly 954 tokens of context every time the server is loaded.

Is the io.github.shivam-app-developers/ai-optimizer MCP server still maintained?

io.github.shivam-app-developers/ai-optimizer 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.shivam-app-developers/ai-optimizer MCP server under?

io.github.shivam-app-developers/ai-optimizer declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.