prom-mcp
MCPB · PROM-MCP_V0.2.0_LINUX_AMD64.MCPB · 4 COMPONENTS
Prometheus MCP server for AI agents: PromQL queries, alert explanations, series discovery.
Last scanned (14 hours ago)
Scores higher than 74% of MCPB servers
Category Monitoring and Observability
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 Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 9 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability56
- 33% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Partial
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 288 tokens (~41/item across 7 items; 5 tools + 2 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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
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 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Unverified: 2 categories
Categories scored 0 because we could not verify them: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 14 Oct 26 +25
- Provenance: pass → unverified ▼ security
- 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
- MCP protocol: unverified → fail ▼ functional
- Tool coverage: unverified → 100 ▲ functional
- Schema quality: unverified → 33 ▲ functional
- First check of Schema quality: fail functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: pass functional
- First check of Schema quality: good functional
- First check of Tool coverage: 100 functional
- 11 Oct 26 9
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 19 Oct 2026 · Analysed mcpb/https://github.com/aniketatgithub/prom-mcp/releases/download/v0.2.0/prom-mcp_v0.2.0_linux_amd64.mcpb@0.2.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | mcpb |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
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 →
prom_alerts_explain ~29
List active Prometheus alerts joined with their rule expressions and annotations, explained for triage.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
prom_label_values ~63
List the values of one label, optionally scoped by a series matcher. Use to learn real job/instance names before querying.
| Name | Type | Req | Description |
|---|---|---|---|
| label | string | yes | Label name, e.g. job |
| match | string | – | Optional series selector, e.g. up |
No output schema declared.
No examples provided.
prom_query ~47
Run an instant PromQL query against Prometheus and return the series and values.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | PromQL expression, e.g. up or rate(http_requests_total[5m]) |
No output schema declared.
No examples provided.
prom_query_range ~79
Run a range PromQL query over the last N minutes and summarize each series (points, first, last, min, max).
| Name | Type | Req | Description |
|---|---|---|---|
| minutes | number | – | Lookback window in minutes (default 60) |
| query | string | yes | PromQL expression |
| step | string | – | Step like 60s or 5m (optional) |
No output schema declared.
No examples provided.
prom_series_discover ~56
Discover which series exist for a label matcher, e.g. up{job="node"}, before writing queries against them.
| Name | Type | Req | Description |
|---|---|---|---|
| match | string | yes | Series selector, e.g. up or http_requests_total{job="api"} |
No output schema declared.
No examples provided.
How do I install the prom-mcp server?
prom-mcp ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 6404193ab4c2d3a61ccaf9f13d6d00a6ea4a1b15c64e0d0803fbc6fd0f58985c; the commands to do that are on this page. If it does not match, do not open it.
mcpb · prom-mcp_v0.2.0_linux_amd64.mcpb
Download bundleCheck the download matches the SHA-256 the MCP registry declares before you open it. If it does not match, do not open the file.
SHA-256
6404193ab4c2d3a61ccaf9f13d6d00a6ea4a1b15c64e0d0803fbc6fd0f58985c
macOS / Linux
echo "6404193ab4c2d3a61ccaf9f13d6d00a6ea4a1b15c64e0d0803fbc6fd0f58985c prom-mcp_v0.2.0_linux_amd64.mcpb" | shasum -a 256 -c
Windows (PowerShell)
(Get-FileHash -Algorithm SHA256 .\prom-mcp_v0.2.0_linux_amd64.mcpb).Hash -eq "6404193ab4c2d3a61ccaf9f13d6d00a6ea4a1b15c64e0d0803fbc6fd0f58985c"
Run it in the folder you saved the bundle to, then open the file with an MCPB-capable host such as Claude Desktop.
What is the prom-mcp server?
prom-mcp is listed in the public MCP registry as io.github.aniketatgithub/prom-mcp. Prometheus MCP server for AI agents: PromQL queries, alert explanations, series discovery. This page covers its MCPB bundle (https://github.com/aniketatgithub/prom-mcp/releases/download/v0.2.0/prom-mcp_v0.2.0_linux_amd64.mcpb).
Is the prom-mcp server safe to use?
prom-mcp scores 34 out of 100 on VerifyMCP. 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 prom-mcp server expose?
prom-mcp exposes 5 tools: prom_query, prom_alerts_explain, prom_query_range, prom_label_values, prom_series_discover. Their descriptions and schemas cost roughly 274 tokens of context every time the server is loaded.
What licence is the prom-mcp server under?
prom-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.