io.github.MukundaKatta/agentfit
NPM · @MUKUNDAKATTA/AGENTFIT-MCP · SCANNED AUG 3
Token-aware message truncation: fit a chat history into your model's context budget.
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 →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
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 (MIT).Pass
- Actively maintained (last published 97 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 359 tokens (~119/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 Management27
- Stability observed for 8 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
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · @mukundakatta/agentfit-mcp
claude mcp add mukundakatta-agentfit -- npx -y @mukundakatta/agentfit-mcp
codex mcp add mukundakatta-agentfit -- npx -y @mukundakatta/agentfit-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mukundakatta-agentfit": {
"type": "local",
"command": [
"npx",
"-y",
"@mukundakatta/agentfit-mcp"
],
"enabled": true
}
}
} openclaw mcp add mukundakatta-agentfit --command npx --arg -y --arg @mukundakatta/agentfit-mcp
mcp_servers:
mukundakatta-agentfit:
command: "npx"
args: ["-y", "@mukundakatta/agentfit-mcp"] {
"mcpServers": {
"mukundakatta-agentfit": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentfit-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.
- 3 Aug 26 +4
- Stability: unverified → 0.27 ▲ functional
- 2 Aug 26 +8
- Provenance: fail → unverified ▼ security
- Install scripts: pass → unverified ▼ security
- Known CVEs: unverified → partial ▲ security
- Maintenance: pass → unverified ▼ functional
- License: pass → unverified ▼ functional
- Dependency health: unverified → partial ▲ functional
- Licence: MIT functional
- 1 Aug 26 −11
- Known CVEs: partial → unverified ▼ security
- Dependency health: partial → unverified ▼ functional
- 31 Jul 26 +54
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −65
- Malware scan: pass → unverified ▼ security
- Known CVEs: partial → unverified ▼ security
- Tool coverage: 100 → unverified ▼ functional
- Dependency health: partial → unverified ▼ functional
- 29 Jul 26 +34
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Schema quality: unverified → excellent ▲ functional
- Licence: MIT functional
- 28 Jul 26 +22
- Security disclosure: unverified → fail ▼ functional
- Tool coverage: unverified → 100 ▲ functional
- First check of Schema quality: fail functional
- First check of Tool coverage: 100 functional
- First check of Schema quality: unverified functional
- First check of Schema quality: pass functional
- 27 Jul 26 24
First indexed and scored.
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 3 Aug 2026 · Analysed npm/@mukundakatta/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
count_tokens ~131
Estimate tokens in a string or chat-message array. Fast, dependency-free, within ~10-20% of true tokenizer counts on English prose. Pass a model name to pick the right per-family estimator (openai, anthropic, google, llama, default).
| Name | Type | Req | Description |
|---|---|---|---|
| input | — | yes | String or array of chat messages. |
| model | string | — | Optional model name (e.g. "gpt-5", "claude-sonnet-4-6"). Picks the closest estimator family. |
| overhead | number | — | Per-message overhead in tokens (default depends on model family, usually 4-6). |
No output schema declared.
No examples provided.
fit_messages ~194
Drop messages from the input array until the total is under maxTokens. Three strategies: drop-oldest (default), drop-middle, priority (uses each message's `priority` field). Always returns a structured result with token counts before and after; never throws across the wire.
| Name | Type | Req | Description |
|---|---|---|---|
| maxTokens | number | yes | Token budget the result must come in under. |
| messages | array | yes | Chat messages to fit. |
| model | string | — | Optional model name for estimator selection. |
| overhead | number | — | Per-message overhead in tokens. |
| preserveFirstN | number | — | Never drop the first N messages of the input array. Default 0. |
| preserveLastN | number | — | Never drop the last N messages of the input array. Default 0. |
| preserveSystem | boolean | — | Default true: never drop messages with role === "system". |
| strategy | string | — | Drop strategy. Default drop-oldest. |
No output schema declared.
No examples provided.
list_estimators ~34
List the built-in estimator families this server knows about. Useful for picking a model alias when the exact model name isn't recognized.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.