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Praxis Workforce

REMOTE · JOBS.MADE-IN.AI · 2 COMPONENTS

Find people for real-world work. Search anonymous profiles; request a private conversation.

+4 this week 78 Trust /100

Last scanned (22 hours ago)

Scores higher than 76% of remote servers

Reachable. Last reached 4 Nov 2026.

Category CRM and Sales

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security74
Transport & Reachability100
Schema Quality & AI Usability67
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 483 tokens (~80/item across 6 items; 6 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management73
  • Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 (33% 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 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.

  • 4 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 24 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 22 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

  • 20 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

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 4 Nov 2026 · Probed https://jobs.made-in.ai/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=jobs.made-in.ai CN=WR3,O=Google Trust Services,C=US 7 Oct 2026 5 Jan 2027 RSA 2048 SHA256-RSA 1b0aaff9862093680abc39664be209c5
SANs: jobs.made-in.ai
CN=WR3,O=Google Trust Services,C=US (CA) CN=GTS Root R1,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 RSA 2048 SHA256-RSA 7ff005a91568d63abc22861684aa4b5a
CN=GTS Root R1,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 19 Jun 2020 28 Jan 2028 RSA 4096 SHA256-RSA 77bd0d6cdb36f91aea210fc4f058d30d

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of jobs.made-in.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 1814, 3799 8, 8 Verified
made-in.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://jobs.made-in.ai/api/mcp Verified 200
http (plaintext) http://jobs.made-in.ai/api/mcp HTTPS enforced 302 https://jobs.made-in.ai/api/mcp
MCP tools · 6 exposed · ~437 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. 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 →

Tool Tokens
get_capabilities ~33

Read what this human workforce pool does, task categories, lifecycle, terms, prohibited uses and limits. Call this first.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_product ~70

Read product request conditions, completion criteria, consultation checks, related products and discovery guidance by stable productId (e.g. LAB01, TRD001). Set locale=en for English or ko for Korean. Research rank is not availability.

NameTypeReqDescription
localestring––
productIdstringyes–
NameTypeReqDescription
agentNextstringyes–
availabilitystringyes–
buyerstringyes–
completionCriteriastringyes–
consultationChecksarrayyes–
contentLanguagestringyes–
discoveryTermsstringyes–
familystringyes–
groupstringyes–
groupNamestringyes–
idstringyes–
namestringyes–
relatedProductIdsarrayyes–
requestConditionsarrayyes–
requestGuideobjectyes–
researchobjectyes–
researchRegionstringyes–
statusstringyes–
workstringyes–
workerSearchobjectyes–

No examples provided.

get_worker_profile ~36

Read one anonymous worker profile by handle (e.g. "w-7kq2xm").

NameTypeReqDescription
handlestringyes–

No output schema declared.

No examples provided.

list_products ~102

Search the product catalog by Korean or English discovery terms, family or group. Paginated; use nextOffset. Includes agent tasks and traditional staffing (driving, housekeeping, construction, etc). Listings require consultation and do not confirm available workers, prices or booking.

NameTypeReqDescription
familystring––
groupstring––
limitinteger––
localestring––
offsetinteger––
querystring––
NameTypeReqDescription
nextOffset–yes–
offsetintegeryes–
productsarrayyes–
totalintegeryes–
versionstringyes–

No examples provided.

list_skills ~35

List skills, languages, categories and countries actually present in the active pool, with worker counts. Use these values in search_workers.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_workers ~161

Search anonymous worker profiles worldwide by skills, languages, category, remote/on-site location, verification and budget. Results are ranked with explainable match reasons. Use skillsMatch=all for strict skill requirements, or rank for partial matches. weeklyWindow requires stated local weekly hours covering the whole window. Searching does not reserve anyone.

NameTypeReqDescription
budgetobject––
categorystring––
citystring––
countryCodestring––
estimatedMinutesinteger––
languagesarray––
limitinteger––
minVerificationstring––
modestring––
skillsarray––
skillsMatchstring––
weeklyWindowobject––

No output schema declared.

No examples provided.

Install

How do I install the Praxis Workforce MCP server?

Praxis Workforce is a hosted endpoint at https://jobs.made-in.ai/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · jobs.made-in.ai

# add to Claude Code
claude mcp add --transport http max7819-manpower 'https://jobs.made-in.ai/api/mcp'
Common questions

What is the Praxis Workforce MCP server?

Praxis Workforce is an MCP server listed in the public MCP registry as io.github.max7819/manpower. Find people for real-world work. Search anonymous profiles; request a private conversation. This page covers its hosted endpoint (https://jobs.made-in.ai/api/mcp).

Is the Praxis Workforce MCP server safe to use?

Praxis Workforce scores 78 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 Praxis Workforce MCP server expose?

Praxis Workforce exposes 6 tools: get_capabilities, search_workers, get_worker_profile, list_skills, list_products, get_product. Their descriptions and schemas cost roughly 437 tokens of context every time the server is loaded.

Does the Praxis Workforce MCP server require authentication?

No. We connected to Praxis Workforce without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Praxis Workforce MCP server still maintained?

Praxis Workforce is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.