Skip to main content
Glama
kaka-milan-22

AnB-MCP

Server Quality Checklist

75%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.2.1

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: executing commands with secret injection, listing secret keys, redacting secrets from text, rendering templates to disk, and checking server status. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow a consistent 'anb_<verb>' pattern, with verbs like exec, list, redact, render_to_file, and status. This makes the tool set predictable and easy to navigate.

    Tool Count5/5

    With exactly 5 tools, the server is well-scoped for its purpose—providing secure vault-integrated operations without unnecessary complexity. The count feels appropriate for the domain.

    Completeness5/5

    The tools cover the full lifecycle needed for a secret-aware MCP server: status checking, secret listing, command execution, template rendering, and output redaction. While there is no tool for managing secrets themselves, that is intentional for a client-side tool, and the set is complete for its intended use.

  • Average 4.7/5 across 5 of 5 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 12 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations, the description fully discloses: read-only, idempotent, no side effects, no external dependencies, and the over-redact guarantee. This provides high transparency for safe invocation.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Three sentences: core function, behavioral traits, usage guidance. No fluff, front-loaded, every sentence earns its place.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a simple tool with one parameter and an output schema (implied), the description covers purpose, safety, usage context, and behavioral guarantees. No gaps given the tool's complexity.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Only one parameter 'text' with 100% schema description coverage. The description repeats the same information as the schema ('known secret values and high-entropy tokens become <agent-vault:key> placeholders'), adding no new semantic value.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description states a specific action ('Scrub text') and resource ('text'), with clear output format ('<agent-vault:key> placeholders'). It is distinct from siblings which involve execution, listing, rendering, or status.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description advises 'Use before logging or returning any text that might contain a secret.' It also notes 'needs no Bob connection' and fail-safe behavior. While it doesn't explicitly list when not to use, the guidance is clear and helpful.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    The description fully discloses behavioral traits: read-only and idempotent, no side effects; requires enrolled identity and reachable, unlocked Bob KMS daemon; errors on unreachable/locked or unauthorized identity. This compensates for the lack of annotations.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is two sentences, front-loading key information (purpose, constraints, usage hint), with no unnecessary words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the simple tool (0 params, output schema present), the description covers purpose, constraints, prerequisites, error conditions, and usage hints comprehensively.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    With zero parameters and 100% schema coverage, the baseline is 4. The description does not need to add parameter info, and it does not add any beyond what the schema provides.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool lists secret key names and metadata, never values, making the purpose specific and differentiating it from sibling tools like anb_exec and anb_render_to_file.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides clear usage context: use to discover key names before referencing them in anb_exec or anb_render_to_file, but does not explicitly state when not to use or list alternative tools for other scenarios.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations provided, the description fully discloses behaviors: writes to disk (mode 0600, overwrites), requires identity and Bob, never returns content, and rejects absolute paths/.. traversal. No contradictions.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Three sentences efficiently convey purpose, side effects, prerequisites, and constraints. Front-loaded with action and key details, no superfluous information.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the output schema exists (not shown but indicated as true), the description covers all necessary aspects: purpose, side effects, prerequisites, input constraints, and behavior. No gaps identified.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100%, but the description adds value: clarifies out_path as relative to render dir with security constraints, and explains template placeholders. This is beyond what the schema provides.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool renders a template with placeholders and writes to a file, with details on security and output. It explicitly contrasts with siblings by mentioning template rendering and file writing, distinguishing it from anb_exec, anb_list, anb_redact, and anb_status.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description explains when to use (render and write secrets to a file), mentions side effects (writes file, overwrites), and prerequisites (enrolled identity, unlocked Bob). It does not explicitly state when not to use or provide alternatives, but the sibling list implies context.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries full burden. It thoroughly discloses side effects: 'spawns a real subprocess', 'default-deny', 'NOT idempotent (effects depend on the command)', requires Bob, 'Returns the exit code plus REDACTED stdout/stderr', and 'the raw secret is never returned even if the child prints it'. It also covers failure modes (denied or failed command returns non-zero exit_code with reason).

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is front-loaded with the main purpose and key constraints. It could be slightly more concise, but every sentence adds meaningful information. The length is justified given the tool's complexity.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's complexity (execution with secrets, allowlist, prerequisites), the description is complete. It covers behavior, side effects, prerequisites, return values, and failure modes. An output schema exists, but the description still explains redaction and return structure adequately.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100% (all three parameters have schema descriptions). The description adds value by explaining the KEY=VALUE form for env, placeholder resolution via Bob, no shell parsing for args, and absolute path requirement for command. This goes beyond the schema's formal definitions.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool's purpose: 'Run an operator-allowlisted command with named secrets injected into the child process's environment.' It uses a specific verb ('run') and resource ('operator-allowlisted command'), and distinguishes itself from sibling tools like anb_list (listing) and anb_redact (redacting) by being the execution tool.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides explicit guidance: 'default-deny, only commands matching a scope=mcp allowlist rule run', 'NOT idempotent', 'Requires an enrolled identity and a reachable, unlocked Bob'. It tells when to use (allowlisted commands) and when not to use (if command not allowlisted or prerequisites not met).

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations provided, so the description fully carries the burden. It discloses it is read-only, idempotent, returns no secret values, and has no side effects. This provides complete behavioral transparency.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is four sentences, each adding essential information. It is front-loaded with the key purpose. No extraneous words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a tool with no inputs and an output schema, the description is complete: it covers behavior, error handling, usage context, and safety. The output schema exists, so return values are not needed in the description.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    There are no parameters, so the baseline is 4 per the zero-params rule. The description adds meaning by explaining what the tool does and what it returns, which is beyond the empty input schema.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description starts with 'Read-only self-check' which clearly specifies the verb and resource. It lists specific reports such as enrollment, client-cert presence, Bob reachability, etc. It also distinguishes this tool from siblings by stating it should be called first before anb_list, anb_exec, and anb_render_to_file.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Explicitly tells when to use: 'Call this first to confirm the vault is ready before...' and implies when not to use by mentioning alternatives. It also explains that on failure, the error field explains why, guiding the agent on next steps.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

AnB_MCP MCP server

Copy to your README.md:

Score Badge

AnB_MCP MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kaka-milan-22/AnB_MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server