String Utility Belt
NPM · @STRING-UTILITY-BELT/MCP
MCP server exposing String Utility Belt's utilities and pipelines as tools for AI agents.
Available components
Last scanned (1 hour ago)
Scores higher than 73% of npm servers
Category Developer Tools
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 Security100
- 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
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to String-Utility-Belt/string-utility-belt). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability73
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1826 tokens (~304/item across 6 items; 5 tools + 1 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management13
- Stability observed for 4 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 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
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.
- 18 Oct 26 +27
- Malware scan: unverified → pass ▲ security
- Known CVEs: unverified → pass ▲ security
- Dependency health: unverified → pass ▲ functional
- 17 Oct 26 −25
- Malware scan: pass → unverified ▼ security
- Known CVEs: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Schema quality: 224 → 304 ▼ functional
- Dependency health: pass → unverified ▼ functional
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: 100 → unverified ▼ functional
- Stability: unverified → 0.10 ▲ functional
- Package version: 1.7.0 → 1.9.2 functional
- Package version: 1.7.0 → 1.9.1 functional
- Package version: 1.7.0 → 1.8.0 functional
- 14 Oct 26 +31
- Injection markers: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: unverified → 100 ▲ functional
- Schema quality: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Schema quality: fail functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: fail functional
- First check of Schema quality: good functional
- First check of Tool coverage: 100 functional
- First check of Tool coverage: 100 functional
- 12 Oct 26 50
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 18 Oct 2026 · Analysed npm/@string-utility-belt/mcp@1.9.2
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 | String-Utility-Belt/string-utility-belt |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/String-Utility-Belt/string-utility-belt/.github/workflows/release.yml@refs/heads/main |
| Rekor log index | 3288421865 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:7dc0222ffc4cbbf56b2eb0115c769e4c2db5afc035bdf39c567a7c19454731f28142dae41cd110678a6aa850bdc50bec2bba6329b281658520aaa058e |
Background: How many MCP packages publish verified provenance →
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 →
describe_utility Describe utility ~191
Full documentation for one utility: its parameters (kind, default, options/bounds, description), the value types it accepts/produces, tags, aliases, worked examples (input, inputEncoding, params and expected output — byte outputs there use the app's display format, while run_utility returns bytes as base64), and which runtime capabilities it needs. Call this before run_utility to learn the exact parameter names and defaults; skip it for a utility you have already described. `id` must be an exact, case-sensitive utility id: names and aliases are not resolved, so look those up with list_utilities first. An unknown id returns isError ("unknown utility: <id>"). When `unavailable` is set, run_utility and run_pipeline refuse the utility.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Utility id, as returned by list_utilities (e.g. "base64_encode"). |
| Name | Type | Req | Description |
|---|---|---|---|
| accepts | – | yes | Value type(s) the utility takes: string, bytes or json. |
| aliases | array | yes | – |
| category | string | yes | – |
| description | string | yes | – |
| env | array | yes | Runtime capabilities the utility needs (dom, wasm, eval, main). |
| examples | array | yes | Worked examples: input, params and expected output. |
| id | string | yes | – |
| name | string | yes | – |
| params | object | yes | Parameter name -> spec (kind, label, default, options/bounds, description…). |
| produces | – | yes | Value type(s) the utility returns. |
| tags | array | yes | – |
| unavailable | string | – | Why this server will not run the utility, when it will not. |
No examples provided.
detect_format Detect format ~282
Guess what `input` is — JSON, YAML, TOML, XML, HTML, CSV/TSV, base64/base32/hex, URL-encoding, JWT, UUID, data URI, gzip/zlib, email, URL, IP address, unix timestamp, Markdown, SQL, Morse code, ROT13, plain binary — and return {candidates: [{format, confidence, note}]}, best first, confidence 0-1. Use it when you are handed an opaque or unlabelled value and must pick a utility for it; skip it when the format is already known. It only identifies, never transforms: to decode, search list_utilities for the top format (base64 -> base64_decode, JWT -> jwt_decode) and run that with run_utility. Ambiguous input yields several candidates (all-digit text can be a timestamp, JSON and hex at once); treat anything below about 0.45 as a weak guess. Use inputEncoding "base64"/"hex" only to deliver binary data such as gzip bytes: it is decoded before detection, so a base64 string you want identified must stay "text" (the default). Empty input yields an empty list.
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The value to inspect. |
| inputEncoding | string | – | How to decode `input` first. Default "text". |
| Name | Type | Req | Description |
|---|---|---|---|
| candidates | array | yes | Likely formats, best first; confidence is 0-1. Empty for empty input. |
No examples provided.
list_utilities List utilities ~265
Search the string-transformation utilities this server can run (247 total, across categories like Encoding, Hashing, Ciphers, Compression, Data Formats, Analysis, Generators and more). Returns {items: [{id, name, category, description}], total, categories}, best matches first. Use this first to find an id, then call describe_utility for its exact parameters before run_utility. `category` and `query` combine (a utility must match both); omit both to browse the whole catalog. A category that does not exist matches nothing rather than failing, so take one from `categories`. There is no paging: when `total` exceeds the items returned, raise `limit` or narrow the query. Reads the bundled catalog only: no network access and no rate limit.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Category to filter to (case-insensitive), e.g. "Encoding" or "Hashing". |
| limit | integer | – | Maximum number of results to return (default 50, max 500). |
| query | string | – | Search words, matched case-insensitively against id, name, tags, aliases and description; every word must match somewhere, in any order (e.g. "encode url", "sha256", "uppercase"). |
| Name | Type | Req | Description |
|---|---|---|---|
| categories | array | yes | Every category name, for filtering. |
| items | array | yes | Matching utilities, best first, up to `limit`. |
| total | integer | yes | How many utilities matched before `limit` was applied. |
No examples provided.
run_pipeline Run pipeline ~589
Run several transformations on `input` in one call: an ordered list of steps (string-utility-belt v3 schema), each step's output feeding the next. Besides utility steps, a pipeline can hold branches (parallel forks merged back together), macros (named sub-pipelines) and "run on each" steps (a sub-pipeline run on every line, delimited piece, JSON array element or JSON object value). Prefer this to chaining run_utility calls; for a single transformation, run_utility is simpler. Returns {output, outputEncoding?, errors, timings, skipped, halted}: `errors` maps step id to its error message, `timings` maps step id to milliseconds. Provide exactly one of `steps` or `share` (a `#/p/<payload>` share link, a full URL containing one, or the bare payload). Untrusted step data is sanitized first, so malformed entries are dropped rather than rejected. Refused outright: pipelines with more than 100 steps (nested steps counted), unknown utility ids, enabled steps with invalid params, and any step that would run arbitrary user JavaScript (e.g. "custom_js") — LLM-driven code execution is out of scope. Input is capped at 1,000,000 bytes, output text past 1,000,000 characters is cut off (flagged `truncated`, with `fullLength`), and the call is stopped after 20s.
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The pipeline's source input. |
| inputEncoding | string | – | How to decode `input`. Default "text". |
| share | string | – | A share link (or its bare payload) for a previously built pipeline; used instead of `steps`. |
| steps | array | – | Pipeline steps (v3 schema). Each entry is either a utility step {id, utilityId, params?, enabled?, condition?, onError?}, a fork {type:"branch", id, branches:[[...steps], [...steps]], merge:{mode:"co… |
| Name | Type | Req | Description |
|---|---|---|---|
| errors | object | yes | Step id -> error message, for steps that failed. |
| fullLength | number | – | Length `output` would have had untruncated, when `truncated`. |
| halted | boolean | yes | True when a step with onError "stop" failed and ended the pipeline. |
| output | string | yes | The result: text as-is, JSON pretty-printed, bytes as base64. |
| outputEncoding | string | – | Present when `output` is base64-encoded bytes. |
| skipped | object | yes | Step id -> why it did not run (disabled, condition, halted, aborted). |
| timings | object | yes | Step id -> milliseconds it took. |
| truncated | boolean | – | True when `output` was cut off at the output limit. |
No examples provided.
run_utility Run utility ~357
Run a single utility on `input` and return {output, outputEncoding?}. For two or more transformations in a row, make one run_pipeline call instead of chaining run_utility calls; if you do not know the id yet, find it with list_utilities. Plain text output is returned as-is; a JSON-producing utility returns pretty-printed JSON text; a byte-producing utility (e.g. gzip_compress, get_bytes) returns base64 with `outputEncoding: "base64"`. `inputEncoding` controls how `input` itself is decoded first: "text" (default) uses it as-is, "base64" or "hex" decode it to raw bytes, "json" parses it. Params are validated against describe_utility's spec; invalid ones are rejected. Input is capped at 1,000,000 bytes, output text past 1,000,000 characters is cut off (flagged `truncated`, with `fullLength`), and the call is stopped after 20s. A failing utility returns isError with the error message. Utilities that run arbitrary user JavaScript (e.g. "custom_js") are refused, and the few that need a browser DOM parser (e.g. "xml_to_json", "html_table_to_csv") fail here.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Utility id (see list_utilities / describe_utility). |
| input | string | yes | The value to run the utility on. |
| inputEncoding | string | – | How to decode `input` before passing it to the utility. Default "text". |
| params | object | – | Utility parameters (see describe_utility for names/kinds); params left out use their declared default. |
| Name | Type | Req | Description |
|---|---|---|---|
| fullLength | number | – | Length `output` would have had untruncated, when `truncated`. |
| output | string | yes | The result: text as-is, JSON pretty-printed, bytes as base64. |
| outputEncoding | string | – | Present when `output` is base64-encoded bytes. |
| truncated | boolean | – | True when `output` was cut off at the output limit. |
No examples provided.
How do I install the String Utility Belt MCP server?
String Utility Belt runs locally as an npm package, launched with npx -y @string-utility-belt/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @string-utility-belt/mcp
claude mcp add com-stringutilitybelt-mcp -- npx -y @string-utility-belt/mcp
What is the String Utility Belt MCP server?
String Utility Belt is an MCP server listed in the public MCP registry as com.stringutilitybelt/mcp. MCP server exposing String Utility Belt's utilities and pipelines as tools for AI agents. This page covers its npm package (@string-utility-belt/mcp).
Is the String Utility Belt MCP server safe to use?
String Utility Belt scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 18 October 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 String Utility Belt MCP server expose?
String Utility Belt exposes 5 tools: list_utilities, describe_utility, run_utility, run_pipeline, detect_format. Their descriptions and schemas cost roughly 1,684 tokens of context every time the server is loaded.
Is the String Utility Belt MCP server still maintained?
String Utility Belt is still listed as active in the MCP registry. We last reached this channel on 18 October 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 String Utility Belt MCP server under?
String Utility Belt declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.