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io.github.Swih/mistral-mcp

NPM · MISTRAL-MCP · SCANNED AUG 3

Mistral AI MCP server: chat, OCR, Voxtral audio, Codestral FIM, vision, agents, batch.

Available components

+14 this week 63 Trust /100
Trust breakdown (6 categories)

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 →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability74
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 2084 tokens (~189/item across 11 items; 8 tools + 3 resources), over budget; trim descriptions and params. See how to fix → Fail
  • 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 Coverage85
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 49% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: 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.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · mistral-mcp

# add to Claude Code
claude mcp add swih-mistral-mcp -- npx -y mistral-mcp
# add to Codex CLI
codex mcp add swih-mistral-mcp -- npx -y mistral-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "swih-mistral-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "mistral-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add swih-mistral-mcp --command npx --arg -y --arg mistral-mcp
# ~/.hermes/config.yaml
mcp_servers:
  swih-mistral-mcp:
    command: "npx"
    args: ["-y", "mistral-mcp"]
// mcp.json
{
  "mcpServers": {
    "swih-mistral-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mistral-mcp"
      ]
    }
  }
}
Changelog

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.

  • 2 Aug 26 +40
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Schema quality: 100 → unverified functional
    • Security disclosure: fail → unverified functional
    • Tool coverage: 100 → unverified functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → good functional
    • Licence: MIT functional
  • 31 Jul 26 −8
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −18
    • Malware scan: pass → unverified security
  • 27 Jul 26 49

    First indexed and scored.

Diagnostics

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 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 98 packages

98 packages in the resolved dependency tree · 98 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 8 exposed · ~1,930 tokens

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.

Tool Tokens
codestral_fim ~174

Fill-in-the-middle code completion with Codestral. Given `prompt` (code preceding the cursor) and `suffix` (code after the cursor), Codestral writes the middle. Use for editor autocomplete scenarios, code-patching agents, or structured refactors where you know the target boundaries. Default stop tokens: [] — let the model decide. Override with `stop` if needed.

NameTypeReqDescription
max_tokensinteger
modelstring
promptstringyesCode preceding the cursor.
seedintegerRandom seed for deterministic sampling. Maps to Mistral's `random_seed`.
stoparray
suffixstringyesCode after the cursor. Can be empty string.
temperaturenumber
top_pnumber
NameTypeReqDescription
finish_reasonstring
modelstringyes
textstringyes
usageobject

No examples provided.

mistral_chat ~328

Generate a chat completion using a Mistral model. When to use: - Drafting French (or any European-language) content where Mistral shines. - Codestral for code-specific generation/review. - Ministral for cheap / low-latency classification. Returns structured content with the assistant text and token usage. Does NOT stream — use mistral_chat_stream for long outputs with progress updates.

NameTypeReqDescription
max_tokensinteger
messagesarrayyesChat messages in role/content form.
modelstringMistral chat model alias. Allowed: mistral-large-latest, mistral-medium-latest, mistral-small-latest, ministral-3b-latest, ministral-8b-latest, ministral-14b-latest, magistral-medium-latest, magistra…
reasoning_effortstringControls reasoning depth for Magistral models. 'high' enables full chain-of-thought; 'none' disables it. Ignored on non-reasoning models.
response_formatForce a structured output: `{type:"json_object"}` for JSON mode, `{type:"json_schema", json_schema:{...}}` for strict schema mode.
seedintegerRandom seed for deterministic sampling. Maps to Mistral's `random_seed`.
temperaturenumber
top_pnumber
NameTypeReqDescription
finish_reasonstring
modelstringyes
reasoning_contentstringReasoning trace returned by Magistral models. Absent for non-reasoning models.
textstringyes
usageobject

No examples provided.

mistral_ocr ~370

Run Mistral OCR on a PDF or image, returning structured markdown per page. Input `document` is one of: - { type: "document_url", documentUrl: "https://...pdf" } - { type: "image_url", imageUrl: "https://..." | "data:image/..." } - { type: "file", fileId: "<id-from-files-api>" } Options: - `pages`: array of 0-indexed page numbers or string like "0-5,7". - `tableFormat`: 'markdown' (default) or 'html'. - `extractHeader` / `extractFooter`: include page header/footer when present. - `includeImageBase64`: embed extracted image bytes as base64 in the response. - `document_annotation_format`: JSON schema for whole-document structured extraction. - `bbox_annotation_format`: JSON schema for extracted image / bbox annotations. - `confidence_scores_granularity`: 'page' or 'word'. Returns `pages[].markdown` plus optional `pages[].hyperlinks`, `header`, `footer`, `images` bounding boxes, annotations, confidence scores, and `dimensions`.

NameTypeReqDescription
bbox_annotation_formatobject
confidence_scores_granularitystring
documentyes
document_annotation_format
document_annotation_promptstring
extractFooterboolean
extractHeaderboolean
imageLimitinteger
imageMinSizeinteger
includeImageBase64boolean
modelstringOCR model. Default: mistral-ocr-latest.
pages
tableFormatstring
NameTypeReqDescription
annotationsobject
document_annotationstring
modelstringyes
pagesarrayyes
pages_countintegeryes
usageobject

No examples provided.

mistral_vision ~251

Chat completion with multimodal input: text + image_url parts. Requires a vision-capable model. Accepted: - pixtral-large-latest - pixtral-12b-latest - mistral-large-latest - mistral-medium-latest - mistral-small-latest Each message's `content` is either a plain string (pure text) or an array of parts `{ type: 'text', text }` / `{ type: 'image_url', imageUrl }`. The image URL can be an https URL or a data: URI base64 payload. Returns the assistant text + token usage. For non-visual requests, prefer `mistral_chat`.

NameTypeReqDescription
max_tokensinteger
messagesarrayyesChat messages. Pure-text requests are accepted, but this tool is intended primarily for multimodal prompts containing image parts.
modelstringVision-capable Mistral model. Default: pixtral-large-latest.
seedintegerRandom seed for deterministic sampling. Maps to Mistral's `random_seed`.
temperaturenumber
top_pnumber
NameTypeReqDescription
finish_reasonstring
modelstringyes
textstringyes
usageobject

No examples provided.

voxtral_transcribe ~281

Transcribe an audio file to text using Mistral Voxtral. Accepted models: - voxtral-mini-latest - voxtral-small-latest Audio source is one of: - { type: "file_url", fileUrl: "https://..." } (public URL) - { type: "file", fileId: "<id-from-files-api>" } Options: - `language`: ISO-639-1 hint (e.g. 'fr', 'en'). Boosts accuracy when known. - `temperature`: sampling temperature. - `diarize`: return per-speaker segments (default false). - `timestampGranularities`: ['segment'] to return per-segment timestamps. - `contextBias`: list of phrases/terms that should bias the decoder. Returns plain `text`, detected `language`, optional `segments[]`, and token usage.

NameTypeReqDescription
audioyes
contextBiasarray
diarizeboolean
languagestringISO-639-1 language hint (e.g. 'fr', 'en').
modelstringSTT model. Default: voxtral-mini-latest.
temperaturenumber
timestampGranularitiesarrayOnly 'segment' is currently supported.
NameTypeReqDescription
languagestring|nullyes
modelstringyes
segmentsarray
textstringyes
usageobject

No examples provided.

workflow_execute ~223

Start a Mistral Workflow execution. `workflowIdentifier` is the workflow name or ID (visible in mistral://workflows). `input` is a free-form JSON object matching the workflow's input schema. Modes: - waitForResult=false (default): returns immediately with execution_id and RUNNING status. Poll workflow_status to track completion. - waitForResult=true: blocks until the workflow finishes and returns the result inline. Use timeoutSeconds (default 30) to cap the wait. Use deploymentName to target a specific deployment slot when multiple are configured.

NameTypeReqDescription
deploymentNamestringTarget a specific deployment slot.
executionIdstringOptional custom execution ID. Auto-generated if omitted.
inputobjectInput payload matching the workflow input schema.
timeoutSecondsintegerMax wait time when waitForResult=true. Default: 30.
waitForResultbooleanBlock until completion and return result inline. Default: false.
workflowIdentifierstringyesWorkflow name or ID.
NameTypeReqDescription
end_timestring|null
execution_idstringyes
result
root_execution_idstring
start_timestring
statusstring|null
syncbooleanyestrue when waitForResult=true (result is inline).
total_duration_msnumber|null
workflow_namestringyes

No examples provided.

workflow_interact ~207

Send a signal to or run a query against a running workflow execution. action=signal: fire-and-forget event; the workflow reacts asynchronously. - `name`: signal name defined in the workflow. - `input`: optional payload matching the signal's schema. action=query: synchronous read of internal workflow state. - `name`: query handler name defined in the workflow. - `input`: optional parameters for the query. - Returns `query_name` + `result` inline. action=update: synchronous request to modify workflow state mid-execution. - `name`: update handler name defined in the workflow. - `input`: optional payload for the update. - Returns `update_name` + `result` inline.

NameTypeReqDescription
actionstringyesInteraction type.
executionIdstringyesTarget execution ID.
inputobjectOptional payload for the signal or query.
namestringyesSignal or query handler name.
NameTypeReqDescription
actionstringyes
execution_idstringyes
messagestringConfirmation message for signal actions.
query_namestring
resultQuery or update result payload.
update_namestring

No examples provided.

workflow_status ~96

Get the current state and result of a workflow execution. Statuses: RUNNING | COMPLETED | FAILED | CANCELED | TERMINATED | CONTINUED_AS_NEW | TIMED_OUT | RETRYING_AFTER_ERROR Poll until status is COMPLETED (or terminal) when waitForResult was false. `result` is populated once the workflow reaches a terminal state.

NameTypeReqDescription
executionIdstringyesExecution ID from workflow_execute.
NameTypeReqDescription
end_timestring|nullyes
execution_idstringyes
result
root_execution_idstringyes
start_timestringyes
statusstring|nullyes
total_duration_msnumber|null
workflow_namestringyes

No examples provided.