"Erlang" matching MCP tools:

• queue_sizingA

  Moretes AWS Architect MCPB

  Calculate required consumers and concurrency with Little’s law and Erlang C to estimate utilization, wait probability, and backlog drain time for queue workloads.

  MIT

• erlang_staffingA

  staffing-mathA

  Calculate agents needed for live phone or chat queues using Erlang C, including service level, wait chance, occupancy, and scheduled headcount after shrinkage.

  MIT

• purl_auditA

  ZEN SecDBA

  Perform a software package vulnerability audit using SecDB. ## What this tool does Analyzes a list of software packages identified by PURL (Package URL) and returns vulnerability information plus a Markdown summary. The audit results are based exclusively on the package list provided. ## When to use this tool Use this tool when the user wants to determine: - whether application dependencies contain known vulnerabilities - whether a project is affected by security advisories - which packages require patching or upgrading ## Supported ecosystems - **npm** - Node.js packages (e.g. pkg:npm/lodash@4.17.21) - **maven** - Java/JVM packages (e.g. pkg:maven/org.apache.logging.log4j/log4j-core@2.14.1) - **pypi** - Python packages (e.g. pkg:pypi/django@4.2.0) - **gem** - Ruby gems (e.g. pkg:gem/rails@7.0.0) - **cargo** - Rust crates (e.g. pkg:cargo/openssl-src@111.10) - **nuget** - .NET packages (e.g. pkg:nuget/Newtonsoft.Json@13.0.1) - **golang** - Go modules (e.g. pkg:golang/github.com/gin-gonic/gin@1.9.1) - **composer** - PHP packages (e.g. pkg:composer/symfony/symfony@6.4.0) - **pub** - Dart packages (e.g. pkg:pub/dio@5.4.0) - **swift** - Swift packages (e.g. pkg:swift/github.com/apple/swift-nio@2.65.0) - **hex** - Erlang and Elixir packages (e.g. pkg:hex/phoenix@1.7.0) ## Inputs - **purls**: list of Package URLs, one per entry. Generate them from your project manifest files: - Node.js: package.json / package-lock.json - Python: requirements.txt / Pipfile.lock / pyproject.toml - Ruby: Gemfile.lock - Go: go.mod / go.sum - Rust: Cargo.lock - PHP: composer.lock - Java: pom.xml / build.gradle - .NET: *.csproj / packages.lock.json ## Outputs - **report**: structured JSON objects describing the advisories affecting the audited packages. Packages without known vulnerabilities are not listed. - **summary**: Markdown summary including vulnerable packages, total CVEs, and severity breakdown. - **audited**: number of PURLs that were checked. - **ignored**: PURLs that were not checked because they are malformed or from an unsupported ecosystem. ## LLM usage guidelines - Never guess whether a package is vulnerable — always call this tool. - Only submit PURLs from the supported ecosystems listed above; others are returned in `ignored`. - Tell the user about any `ignored` PURL: they were not checked, so they are not known to be safe. - The `summary` is already Markdown and can be shown directly. - Use `report` when deeper technical analysis is required.

  ConnectorNo auth

• compare_analytical_vs_simulatedA

  QueueSimA

  Run the same M/M/c configuration through BOTH the closed-form Erlang-C formula AND the discrete-event simulator, returning a side-by-side comparison with deltas. Use this when the user is validating QueueSim's engine against textbook values, learning queueing theory by watching simulation converge on the formula, or auditing a result that 'feels off' — agreement within ~5% is the canonical sanity check for an M/M/c run. Pure-Exponential M/M/c only; the closed-form Erlang-C is undefined for other service distributions. Large deltas usually mean the simulation run was too short for steady-state — raise simulationDays. ANTI-FABRICATION: both sides come from real computation — closed-form is deterministic, simulation is stochastic but engine-backed. Quote both verbatim. Do not synthesize an 'average of the two' or recompute the formula from training-data recall.

  ConnectorNo auth

• explain_queueing_theoryA

  QueueSimA

  Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a conceptual 'why' or 'how does this work' question rather than asking for a number.

  ConnectorNo auth

• erlang_staffingA

  Staffing MathA

  For call center, contact center, phone or chat staffing questions with a service level target, such as 80% answered within 20 seconds. Works out agents needed on a live queue to answer a target share of contacts within a target time, using Erlang C. Give contacts per hour for the interval being staffed (usually the busiest hour) and handle time in seconds. Returns agents needed, the service level at that number and at one fewer, chance of waiting, occupancy, and people to schedule after shrinkage. Use required_fte for case or ticket work with no answer-time target.

  ConnectorNo auth

• queue_sizingA

  Moretes Architect MCPB

  Size consumers with Little's law and stable Erlang C: utilization, wait probability, backlog drain time and target consumers. At most 100,000 total concurrent slots (consumers × concurrency).

  ConnectorNo auth

• hex_pm_get_packageA

  Hex PmA

  Look up a single Hex.pm package (Elixir/Erlang mix package) by name. Returns description, licenses, links, latest version, and download counts.

  ConnectorNo auth

• hex_pm_search_packagesA

  Hex PmA

  Search the Hex.pm registry for Elixir/Erlang mix packages by keyword. Returns a list of matching packages with descriptions, latest versions, and downloads.

  ConnectorNo auth

• hex_pm_get_releaseA

  Hex PmA

  Get details for a specific version (release) of a Hex.pm package (Elixir/Erlang mix package): dependency requirements, docs availability, publisher, and downloads.

  ConnectorNo auth

• hex_pm_list_releasesA

  Hex PmA

  List all published versions (releases) of a Hex.pm package (Elixir/Erlang mix package), each with its version and publish date.

  ConnectorNo auth