Machina
PYPI · MACHINA-MCP
x402-powered AI agent services — URL extraction, PDF processing, code scanning, and more.
Available components
Last scanned (2 hours ago)
Scores higher than 55% of PyPI servers
Category Security
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 Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 2 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
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 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability70
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 701 tokens (~87/item across 8 items; 8 tools + 0 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 Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (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.
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.
- 5 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 4 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 3 Nov 26 52
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 5 Nov 2026 · Analysed pypi/machina-mcp@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 33 packages
| Packages resolved | 33 |
|---|---|
| Stale | 1 |
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
domain_intel ~86
Get comprehensive intelligence on a domain name. Returns: DNS records (A/MX/NS/TXT/SPF/DMARC), WHOIS registration data and domain age, SSL certificate details and expiry, HTTP response headers, tech stack detection (CMS, server, CDN, etc.), and email infrastructure analysis. Cost: $0.050 per call.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
pdf_extract ~81
Extract text from a PDF (up to 50 pages) and return it as Markdown. Preserves headings, tables, lists, and document structure. Call pdf_inspect first to verify page count — use pdf_extract_large for documents over 50 pages. Cost: $0.050 per call.
| Name | Type | Req | Description |
|---|---|---|---|
| pdf_base64 | – | – | – |
| pdf_path | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
pdf_extract_large ~81
Extract text from a large PDF (up to 200 pages) and return it as Markdown. For documents over 50 pages. Call pdf_inspect first to check the page count. For documents ≤50 pages, prefer pdf_extract (cheaper). Cost: $0.180 per call.
| Name | Type | Req | Description |
|---|---|---|---|
| pdf_base64 | – | – | – |
| pdf_path | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
pdf_inspect ~83
FREE pre-check for a PDF file. Returns page count, file size, and metadata (title, author, creator, creation date) without extracting any text. Use this before pdf_extract or pdf_extract_large to check the page count and decide which extractor to use. No payment required. Cost: FREE.
| Name | Type | Req | Description |
|---|---|---|---|
| pdf_base64 | – | – | – |
| pdf_path | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
scan_python ~107
Scan Python source code for security vulnerabilities. Detects: hardcoded secrets/API keys, eval/exec misuse, shell injection, insecure SSL/TLS, dangerous deserialization (pickle, yaml.load), path traversal, and CVE-affected dependency versions. Returns structured findings with severity (critical/high/medium/low) and line numbers. Handles up to 10,000 lines. Cost: $0.020 per call.
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | yes | – |
| filename | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
url_extract ~63
Fetch a URL and return its full content as clean Markdown. Useful for reading web pages, articles, blog posts, and documentation. Returns title, word count, and the full text as Markdown. Cost: $0.005 per call.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
validate_email ~102
Validate a single email address. Checks: syntax/format, MX record existence, disposable email provider detection, and role-address detection (noreply@, info@, etc.). With smtp_probe=True, attempts an SMTP connection to verify the mailbox exists (best-effort — some servers block probes). Returns a deliverability score and per-check results. Cost: $0.007 per call.
| Name | Type | Req | Description |
|---|---|---|---|
| string | yes | – | |
| smtp_probe | boolean | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
validate_email_bulk ~98
Validate up to 100 email addresses in a single call. Same checks as validate_email (syntax, MX, disposable, role-address) but optimised for batch processing. SMTP probing is off by default to keep latency low. Returns per-address results plus a summary. Cost: $0.500 per call (up to 100 emails, ~$0.005/email).
| Name | Type | Req | Description |
|---|---|---|---|
| emails | array | yes | – |
| smtp_probe | boolean | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the Machina MCP server?
Machina runs locally as a PyPI package, launched with uvx machina-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · machina-mcp
claude mcp add nyterry-machina-mcp -- uvx machina-mcp
What is the Machina MCP server?
Machina is an MCP server listed in the public MCP registry as io.github.NyTerry/machina-mcp. x402-powered AI agent services, URL extraction, PDF processing, code scanning, and more. This page covers its PyPI package (machina-mcp).
Is the Machina MCP server safe to use?
Machina scores 52 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. 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 Machina MCP server expose?
Machina exposes 8 tools: url_extract, scan_python, validate_email, validate_email_bulk, domain_intel, and 3 more. Their descriptions and schemas cost roughly 701 tokens of context every time the server is loaded.
Is the Machina MCP server still maintained?
Machina is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Machina MCP server under?
Machina declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.