Brainiall NLP
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
Crawler Summary
# MED Vehicle Intelligence **Expert car repair and maintenance advisory tools from a 20-year mechanic veteran.** The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give. ## What it does MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upselling, no fluff, no "it depends" — just direct guidance on the car decisions that actually matter. ## Tools **`check_repair_estimate`** — Compare a repair quote against typical price ranges for independent shops and dealers. Get a clear "in range / high / low" verdict plus specific questions to ask the shop before authorizing the work. **`get_maintenance_schedule`** — See what maintenance is actually due now, what's coming in the next 10,000 miles, and which common "upsells" to push back on. Includes vehicle-specific known issues by make and model. **`should_i_fix_or_replace`** — Stop guessing on $3,000 decisions. Analyzes repair cost versus vehicle value, mileage, age, and repair history. Returns a recommendation backed by the real cost of replacement, not gut feel. **`check_shop_red_flags`** — Describe a shop interaction in plain English and get an analysis based on 7 common red flags from 20 years inside the automotive industry. The questions you didn't know to ask. ## Built for - **Vehicle owners** facing repair decisions or unexpected estimates - **Used car buyers** doing pre-purchase due diligence - **Anyone** who wants a second opinion before saying yes at the service counter ## Behind the data Every recommendation is grounded in bundled knowledge bases — real repair cost ranges, manufacturer maintenance schedules, common issues by make and model, and a curated red-flag detection framework. No external API dependencies. No data leaves the server. Fully read-only — safe to run without permission prompts. --- **Part of [My Everyday Driver](https://myeverydaydriver.com)** — straight automotive advice for drivers who don't have a mechanic friend. MED Vehicle Intelligence **Expert car repair and maintenance advisory tools from a 20-year mechanic veteran.** The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give. ## What it does MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upsel Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
MED Vehicle Intelligence is best for general automation workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, Smithery, runtime-metrics, public facts pack
# MED Vehicle Intelligence **Expert car repair and maintenance advisory tools from a 20-year mechanic veteran.** The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give. ## What it does MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upselling, no fluff, no "it depends" — just direct guidance on the car decisions that actually matter. ## Tools **`check_repair_estimate`** — Compare a repair quote against typical price ranges for independent shops and dealers. Get a clear "in range / high / low" verdict plus specific questions to ask the shop before authorizing the work. **`get_maintenance_schedule`** — See what maintenance is actually due now, what's coming in the next 10,000 miles, and which common "upsells" to push back on. Includes vehicle-specific known issues by make and model. **`should_i_fix_or_replace`** — Stop guessing on $3,000 decisions. Analyzes repair cost versus vehicle value, mileage, age, and repair history. Returns a recommendation backed by the real cost of replacement, not gut feel. **`check_shop_red_flags`** — Describe a shop interaction in plain English and get an analysis based on 7 common red flags from 20 years inside the automotive industry. The questions you didn't know to ask. ## Built for - **Vehicle owners** facing repair decisions or unexpected estimates - **Used car buyers** doing pre-purchase due diligence - **Anyone** who wants a second opinion before saying yes at the service counter ## Behind the data Every recommendation is grounded in bundled knowledge bases — real repair cost ranges, manufacturer maintenance schedules, common issues by make and model, and a curated red-flag detection framework. No external API dependencies. No data leaves the server. Fully read-only — safe to run without permission prompts. --- **Part of [My Everyday Driver](https://myeverydaydriver.com)** — straight automotive advice for drivers who don't have a mechanic friend. MED Vehicle Intelligence **Expert car repair and maintenance advisory tools from a 20-year mechanic veteran.** The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give. ## What it does MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upsel
Public facts
3
Change events
0
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Apr 15, 2026
Vendor
Myeverydaydriver
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Myeverydaydriver
Protocol compatibility
MCP
Handshake status
UNKNOWN
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
Unknown
Full documentation captured from public sources, including the complete README when available.
Docs source
Smithery
Editorial quality
ready
# MED Vehicle Intelligence **Expert car repair and maintenance advisory tools from a 20-year mechanic veteran.** The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give. ## What it does MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upselling, no fluff, no "it depends" — just direct guidance on the car decisions that actually matter. ## Tools **`check_repair_estimate`** — Compare a repair quote against typical price ranges for independent shops and dealers. Get a clear "in range / high / low" verdict plus specific questions to ask the shop before authorizing the work. **`get_maintenance_schedule`** — See what maintenance is actually due now, what's coming in the next 10,000 miles, and which common "upsells" to push back on. Includes vehicle-specific known issues by make and model. **`should_i_fix_or_replace`** — Stop guessing on $3,000 decisions. Analyzes repair cost versus vehicle value, mileage, age, and repair history. Returns a recommendation backed by the real cost of replacement, not gut feel. **`check_shop_red_flags`** — Describe a shop interaction in plain English and get an analysis based on 7 common red flags from 20 years inside the automotive industry. The questions you didn't know to ask. ## Built for - **Vehicle owners** facing repair decisions or unexpected estimates - **Used car buyers** doing pre-purchase due diligence - **Anyone** who wants a second opinion before saying yes at the service counter ## Behind the data Every recommendation is grounded in bundled knowledge bases — real repair cost ranges, manufacturer maintenance schedules, common issues by make and model, and a curated red-flag detection framework. No external API dependencies. No data leaves the server. Fully read-only — safe to run without permission prompts. --- **Part of [My Everyday Driver](https://myeverydaydriver.com)** — straight automotive advice for drivers who don't have a mechanic friend. MED Vehicle Intelligence **Expert car repair and maintenance advisory tools from a 20-year mechanic veteran.** The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give. ## What it does MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upsel
Expert car repair and maintenance advisory tools from a 20-year mechanic veteran. The first automotive MCP server — built so AI assistants can give vehicle owners the same straight answers a trusted mechanic friend would give.
MED Vehicle Intelligence gives Claude (and other MCP clients) access to real automotive expertise grounded in 20+ years of shop experience. No upselling, no fluff, no "it depends" — just direct guidance on the car decisions that actually matter.
check_repair_estimate — Compare a repair quote against typical price ranges for independent shops and dealers.
Get a clear "in range / high / low" verdict plus specific questions to ask the shop before authorizing the work.
get_maintenance_schedule — See what maintenance is actually due now, what's coming in the next 10,000 miles, and
which common "upsells" to push back on. Includes vehicle-specific known issues by make and model.
should_i_fix_or_replace — Stop guessing on $3,000 decisions. Analyzes repair cost versus vehicle value, mileage,
age, and repair history. Returns a recommendation backed by the real cost of replacement, not gut feel.
check_shop_red_flags — Describe a shop interaction in plain English and get an analysis based on 7 common red
flags from 20 years inside the automotive industry. The questions you didn't know to ask.
Every recommendation is grounded in bundled knowledge bases — real repair cost ranges, manufacturer maintenance schedules, common issues by make and model, and a curated red-flag detection framework. No external API dependencies. No data leaves the server. Fully read-only — safe to run without permission prompts.
Part of My Everyday Driver — straight automotive advice for drivers who don't have a mechanic friend.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/contract"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
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Primary-source commodities data for AI agents — EIA, FRED, CFTC, USDA, USGS via x402 on Base.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "SMITHERY",
"generatedAt": "2026-10-09T17:08:17.833Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Myeverydaydriver",
"href": "https://myeverydaydriver.com ",
"sourceUrl": "https://myeverydaydriver.com ",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T00:38:09.419Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T00:38:09.419Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-myeverydaydriver-med-vehicle-intelligence/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[]
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