MMCP Server Finder

mason benchmark report

mason has a benchmark score of 32/100 based on installability, startup reliability, MCP capability discovery, documentation quality, and safety signals.

Benchmark score

32

Docs score

0

Config score

0

Safety score

0

Benchmark status

Installunknown
Startupunknown
Capability discoverypassed
Last testedJul 27, 2026

Installability

  • npxconfidence: medium
    npx -p mason-context mason-drift --dir .          # exit 0 fresh · 1 stale · 2 error
  • npxconfidence: medium
    npx -p mason-context mason-drift --json           # full report as JSON
  • npxconfidence: medium
    npx -p mason-context mason-drift --refresh-prompt # stale? print refresh instructions for any agent

Capabilities

Tools: 18Resources: 0Prompts: 0
  • tool

    analyze_project

    Run git history analysis on a codebase. Returns commit convention patterns, stale directories, and frequently changed files. These are aggregate stats across hundreds of commits that would be expensive to compute manually.

  • tool

    export_to_confluence

    Sync the project's concept map to Confluence as product-readable wiki pages: an index page, one page per feature (PM-language descriptions, no file paths), and a changelog page. Hand-edits outside `<!-- mason:start/end:* -->` markers are preserved across syncs. Requires `mason_set_confluence` to have been called first.

  • tool

    full_analysis

    One-shot orientation for a project WITHOUT a concept map (get_snapshot returned exists:false). Returns git history stats, project structure with file counts, curated code sample previews (~60 lines each), and test-to-source mapping. On a mapped project, prefer get_snapshot — it is cheaper and answers feature/architecture questions directly.

  • tool

    generate_snapshot_batch

    Map step of the concept-map build. Returns one batch of source files (skeletons of every file in the batch plus a few deeper-read bodies for grounding), along with a system prompt instructing you to derive features and flows for ONLY this batch. Call repeatedly with the returned `nextOffset` until it is null, calling `save_partial_snapshot` between each call. Use product-natural feature names so partials merge cleanly in the reduce step.

  • tool

    get_code_samples

    Get previews (first ~60 lines) of representative source files from the codebase. Includes entry points, config files, hot files (frequently changed), test examples, and one file per directory for breadth. Read files natively for full content.

  • tool

    get_context

    CALL THIS FIRST when given a task to implement, a bug to fix, a ticket, or a change request ('add X', 'fix Y', 'refactor Z'). One call returns everything needed to start: the matching features/flows with their files, related tests, blast radius for the key files (git co-change + references), and per-entry freshness — replacing a get_snapshot + get_impact + test-hunting sequence. Cheap, instant, LLM-free. Pass the task in natural language; optionally pass `files` (e.g. from a diff) to anchor the match. For open-ended architecture questions with no task, use get_snapshot instead.

  • tool

    get_impact

    CALL THIS BEFORE editing, refactoring, or assessing the blast radius of any file. Returns three signals you cannot get by reading the file itself: git co-change history (files that historically change in the same commits), references (files that mention the target by name), and related tests. One call replaces a manual sweep of grep + git log. Also the right tool for 'what would break if I changed X?' questions.

  • tool

    get_snapshot

    CALL THIS FIRST — before grep, glob, or reading files — for any question about what this codebase does, its features, architecture, data flows, or where something is implemented ('where is X handled?', 'how does Y work?', 'what implements Z?'). Returns the persistent feature-to-file concept map in one cheap, instant, LLM-free call, replacing 5-10 exploration round-trips. Example: 'home screen' → [HomeScreen.kt, HomeViewModel.kt, HomeModule.kt]. Then read only the mapped files. If the map has drifted it says so (with a diff) — trust the freshness signal. If exists:false, the project isn't set up; offer mason_init.

  • tool

    mason_check_drift

    Check how far the concept map has drifted from HEAD. Deterministic (git + filesystem, no LLM). Returns which features/flows are stale and the changed files behind them, new source files not yet mapped, ghost files (mapped but deleted), renames, and a `recommendation`: `up-to-date` (nothing to do), `incremental` (update just the stale entries via save_snapshot), or `full-rebuild` (re-run the Map-Reduce build). Call this before trusting the map in a long session, or periodically to keep the map and any synced wikis fresh.

  • tool

    mason_complete_init

    Mark the project as initialized. Call this after walking the user through the playbook returned by `mason_init`. Writes `.mason/project.json` so future tool calls don't re-run the wizard. Pass `confluenceConfigured: true` if Phase 3 of the playbook ended with Confluence credentials saved.

  • tool

    mason_init

    Start here. Checks if Mason is set up for this project. If not, returns a `playbook` of questions the assistant must walk the user through (concept map + optional Confluence sync). Once the walkthrough is done, call `mason_complete_init`. Idempotent: re-running on an already-initialized project just returns the current state.

  • tool

    mason_set_confluence

    Configure Confluence credentials. Two-step flow: (1) call without `spaceKey` to validate the credentials and receive a list of available spaces — relay them to the user. (2) call again with the same `baseUrl`/`email`/`apiToken` plus the chosen `spaceKey` to persist. Credentials are stored in `~/.mason/config.json`. Warn the user that the API token will be visible in chat history before they paste it.

  • tool

    reduce_snapshot

    Reduce step of the concept-map build. Returns every partial snapshot plus a system prompt asking you to merge them into one coherent project-wide map. Resolve platform variants into single product features, dedupe near-duplicates, and ensure no file is dropped. After producing the unified map, call `save_snapshot` to persist it (this also clears the partials).

  • tool

    save_decision

    CALL THIS when you learn something about this codebase that the code alone can't tell you: a failed approach ('we tried X, it broke Y'), a deprecation ('don't extend Z'), a workaround and its reason, or a convention settled in review. Best moments: the end of a debugging session, right after a design choice. Records are git-committed to .mason/decisions/ and PR-reviewed like code; get_context surfaces them on matching tasks. Do NOT record anything derivable by reading the code, session trivia, or secrets. Also handles updates (pass id), re-verification (same id + content re-pins to HEAD), and supersession (pass supersedes).

  • tool

    save_partial_snapshot

    Persist the partial concept map you derived for one batch. Call this once per batch, with the `batchId` from the `generate_snapshot_batch` response. Partials accumulate in `.mason/partial-snapshots/` and are merged in the reduce step.

  • tool

    save_snapshot

    Save a concept-to-files map as a persistent project snapshot. Maps feature names and data flows to the files that implement them. Persists across conversations — future sessions can call get_snapshot to instantly find relevant files. No API key needed — you are the LLM generating the map.

  • tool

    save_verification

    Record verify_snapshot verdicts. Entries judged ok are stamped verifiedAt; failures are flagged verificationFailed with your note and surface in mason_check_drift until re-mapped. Verdict notes are required for failures.

  • tool

    verify_snapshot

    Spot-check the concept map's CORRECTNESS (drift checks freshness; this checks entries were right to begin with). Returns a sample of entries — always the never-verified and least-recently-verified first — with skeletons of their claimed files, for you to judge whether the files actually implement what the entry claims. Report verdicts back via save_verification. Run periodically, or after an automated refresh wrote entries no human reviewed.

Related pages

Frequently asked questions

What does the mason benchmark score include?

It combines install status, startup status, capability discovery, documentation score, configuration score, and safety score into a 0-100 benchmark_score.

Does MCP Server Finder call mason tools during discovery?

No. Capability discovery lists tools, resources, and prompts when possible, but does not invoke tools or read sensitive resources.

Why are some checks skipped?

Checks are skipped when they cannot be run safely without credentials, local configuration, or non-destructive execution guarantees.

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