openfuse (tma1-ai/openfuse) is an MCP server listed on the M8ven Trust Index. It scores 46 out of 100, grade D. It declares 53 tools. No publisher has claimed this listing.

D
Caution
46/100

openfuse

Langfuse on GreptimeDB. Self-hosted LLM observability.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

tma1-ai

Source: github_code

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Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
🚨
Known vulnerabilities in dependencies: 1 critical, 12 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
// tools this server exposes53 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

createAnnotationQueue

Create an annotation queue, a worklist that collects trace or observation items for human review and scoring.

createAnnotationQueueAssignment

Assign a project user to an annotation queue so they can work through its review items.

createAnnotationQueueItem

Add an annotation queue item, one trace or observation to review, to a queue.

deleteAnnotationQueueAssignment

Remove a project user's assignment from an annotation queue.

deleteAnnotationQueueItem

Remove an annotation queue item, the queued trace or observation, from a queue.

getAnnotationQueue

Get an annotation queue, a worklist of trace or observation items for human review and scoring, by ID.

getAnnotationQueueItem

Get an annotation queue item, one queued trace or observation with review status, by queue ID and item ID.

listAnnotationQueueItems

List annotation queue items, each linking one trace or observation to a queue with a review status, with optional status filtering.

listAnnotationQueues

List annotation queues, worklists that collect trace or observation items for human review and scoring, with pagination.

updateAnnotationQueueItem

Update an annotation queue item's review status, such as pending or completed.

createComment

Create a comment on a trace, observation, session, or prompt.

getComment

Get a comment by ID from the current Langfuse project.

listComments

List comments in the current Langfuse project, optionally filtered by object or author.

createDatasetRunItem

Create a dataset run item, a result that links one dataset item to a trace or observation in a dataset run.

deleteDatasetItem

Delete a dataset item, one example in a dataset, and all its run items.

deleteDatasetRun

Delete a dataset run by dataset ID and run ID, and enqueue deletion of its run items.

getDataset

Get a dataset, a named collection of input and optional expected-output examples for experiments and evaluations, by ID.

getDatasetItem

Get a dataset item, one example in a dataset with input and optional expected output, by ID.

getDatasetRun

Get a dataset run, one experiment or evaluation execution over a dataset, and its run items by dataset ID and run ID.

listDatasetItems

List dataset items, individual examples with input and optional expected output, optionally filtered by dataset ID, source trace, source observation, or version.

listDatasetRunItems

List dataset run items, each linking one dataset item to a trace or observation within a dataset run, by dataset ID and run ID.

listDatasetRuns

List dataset runs, each experiment or evaluation execution over a dataset, by dataset ID.

listDatasets

List datasets, named collections of input and optional expected-output examples for experiments and evaluations. Optionally filter by dataset name to find a dataset ID.

upsertDataset

Upsert a dataset, a named collection of input and optional expected-output examples for experiments and evaluations.

upsertDatasetItem

Upsert a dataset item (one example in a dataset) by dataset ID

createEvaluationRule
deleteEvaluationRule

Delete an evaluation rule by id. This stops the rule from evaluating new items and cannot be undone.

getEvaluationRule

Fetch a single evaluation rule by id, including its evaluator reference, target, filter, variable mapping, sampling, and status.

getEvaluator

Fetch a single evaluator by id, including its prompt or source code, output definition, and how many evaluation rules reference it.

listEvaluationRules

List evaluation rules in the current Langfuse project. Each rule attaches an evaluator to incoming observations or experiment items. Results are paginated.

listEvaluators

List evaluators (llm_as_judge and code) defined in the current Langfuse project. Results are paginated.

updateEvaluationRule
upsertEvaluator
getHealth

Check Langfuse API health. Optionally verify database availability and recent trace/observation ingestion.

getMedia

Fetch metadata and a signed download URL for one media asset.

getMetricsSchema

Discover which Langfuse metrics can be analyzed and how to group, filter, aggregate, and time-bucket them before calling queryMetrics.

queryMetrics

Answer analytics questions about the current Langfuse project, such as usage over time, model costs, latency, errors, scores, or grouped breakdowns by environment, trace, observation, model, user, session, tag, or score name.

createModel

Create a custom model definition for cost tracking/tokenization in the current project.

deleteModel

Delete a custom model definition from the current project. Built-in models cannot be deleted.

getModel

Get a model definition by ID from the current project scope.

listModels

List custom and Langfuse-managed model definitions visible to the current project.

createScore
createScoreConfig

Create a score configuration. Supports numeric, categorical, boolean, and text configs. Boolean configs automatically receive True and False categories.

deleteScoreConfig

Delete a score configuration from the current Langfuse project by archiving it.

getScore
getScoreConfig

Fetch one score configuration by ID from the current Langfuse project. Returns the public score config object directly.

listScoreConfigs

List score configurations. Returns exactly data and meta at the top level.

listScores
updateScoreConfig

Update a score configuration. Use this to rename, describe, or adjust allowed numeric/category fields.

get_weather

Get the current weather in a location

search_web

Search the web

input_joke

Get a joke from normalized input

metadata_joke

Get a joke from metadata

// known CVEs in dependencies1 critical12 high13 medium11 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

criticalnext-auth@4.24.13GHSA-7rqj-j65f-68wh

Auth.js: Email normalizer validates the address before Unicode normalization, allowing a homoglyph @ bypass

highdd-trace@5.97.0GHSA-wxqq-gcq8-c443

dd-trace-js: Improper parsing of W3C baggage headers may lead to DoS

highip-address@10.2.0GHSA-mwp4-54f8-5fhr

ip-address: Address4 decodes leading-zero octets as decimal while resolvers decode them as octal, allowing SSRF and trust-boundary bypass

highnanoid@3.3.11GHSA-28wg-ghj8-5hjv

nanoid: non-secure generators can loop indefinitely with negative size

highnanoid@3.3.11GHSA-2v37-7h3g-55p8

nanoid: custom generators can loop indefinitely when size is zero

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// quality suggestions

Tool annotations

43/53 tools have annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

53/53 tools missing one or more hints — createAnnotationQueue (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); createAnnotationQueueAssignment (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); createAnnotationQueueItem (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +50 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

39/53 tools referenced in tests (74%)

Write tests that reference each tool by name so every tool has at least one test.

Production dependencies are patched

1 critical, 10 high severity in production deps — next-auth@4.24.13 (critical), dd-trace@5.97.0 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Dev dependencies

2 critical/high in dev-only deps (does not ship to users)

Upgrade dev dependencies when convenient.

Dependency freshness

5/145 production deps abandoned (no release in 2+ years): fastest-levenshtein@2022-08-02 (4.1y), tailwindcss-animate@2023-08-28 (3y), @dnd-kit/utilities@2023-11-06 (2.8y)

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 53d7abcd2115745e38c60d2df0aff5b3798dde4c
code hash: 5d4909ad6504c65362ca0c97df970127dc99c8706ff7143081e9e95784e3765c
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