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DevSkiller MCP. Manage Candidate Scores & Pipeline Status by Chat

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
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Works with every AI agent you already use

…and any MCP-compatible client

DevSkiller MCP on Cursor AI Code Editor MCP Client DevSkiller MCP on Claude Desktop App MCP Integration DevSkiller MCP on OpenAI Agents SDK MCP Compatible DevSkiller MCP on Visual Studio Code MCP Extension Client DevSkiller MCP on GitHub Copilot AI Agent MCP Integration DevSkiller MCP on Google Gemini AI MCP Integration DevSkiller MCP on Lovable AI Development MCP Client DevSkiller MCP on Mistral AI Agents MCP Compatible DevSkiller MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

DevSkiller connects your AI agent directly to a professional talent assessment system. You can manage the entire candidate pipeline—from initial search to final scoring—all through natural conversation.

Use DevSkiller's tools to list candidates, send test invitations, and retrieve detailed reports with granular skill scores without opening a dashboard.

What your AI agents can do

Get account metadata

Retrieves limits and metadata for your DevSkiller account.

Get candidate assessment report

Fetches the full assessment report, including skill scores, for a specific candidate.

Get candidate profile

Gets detailed information and basic data for a given candidate.

+ 7 more capabilities included
Find Candidates

Search or list candidates by name, email, or general account criteria.

Manage Tests

List all technical assessments and coding tasks available in your catalog.

Send Invitations

Issue a new test invitation to specific candidates via the API.

Get Scores & Reports

Pull full assessment reports and detailed skill scores for any candidate.

Monitor Pipeline Status

List all sent test invitations, showing who has started and what their current status is.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

DevSkiller MCP Server: 10 Tools for Candidate Assessment

These ten tools allow your AI client to interact with DevSkiller's full API. You can analyze reports, profile candidates, list tests, and track invitation status through conversation.

get019d7584

get account metadata

Retrieves limits and metadata for your DevSkiller account.

get019d7584

get candidate assessment report

Fetches the full assessment report, including skill scores, for a specific candidate.

get019d7584

get candidate profile

Gets detailed information and basic data for a given candidate.

invite019d7584

invite candidate to test

Sends a new test invitation to one specific candidate.

list019d7584

list assessment candidates

Returns a list of all candidates currently in your DevSkiller account.

list019d7584

list available tests

Lists every assessment test and coding task configured in your catalog.

list019d7584

list high score candidates

Identifies and lists candidates who achieved a score above a specified percentage threshold.

list019d7584

list recently sent invitations

Lists all test invitations that were sent within the last 24 hours.

list019d7584

list test invitations

Provides a list of every test invitation sent and its current status (e.g., pending, started).

search019d7584

search candidates by identity

Searches for a candidate using their name or email address keyword.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Make Your AI Do More

Start with DevSkiller, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

DevSkiller connects your AI agent straight to a professional talent assessment system. You manage the whole candidate pipeline—from initial search right through to final scoring—all just by talking to it. It lets you list candidates, send test invites, and pull detailed reports with granular skill scores without ever having to open up a dashboard.

Finding Candidates

You can find people in your system using search_candidates_by_identity, which takes a name or email keyword to zero in on specific individuals. If you need a full roster of everyone currently in DevSkiller, use list_assessment_candidates. You can also pull basic and detailed info for any person with get_candidate_profile.

Managing Assessments & Tests

Want to know what tests you're actually using? Run list_available_tests to see every technical assessment or coding task in your catalog. If you need to narrow down the field, list_high_score_candidates identifies and lists only those candidates who hit a score above a threshold you set.

Sending Invites & Tracking Status

You can issue a new test invitation to one specific person using invite_candidate_to_test. To track where things stand with your invites, use list_test_invitations to see every sent invite and its current status—like if they're pending or if they started it. If you want to know which invitations went out in the last 24 hours, run list_recently_sent_invitations.

Finally, get_account_metadata checks your account limits and general system metadata.

Scoring and Reporting

When a candidate finishes their work, you pull the full assessment report with get_candidate_assessment_report; this gives you detailed skill scores for every area they tested. You'll get everything you need to know about performance right there.

How DevSkiller MCP Works

  1. 1 Connect the DevSkiller integration to your AI client. You'll need an API Key from your account settings.
  2. 2 Your agent sends a natural language request (e.g., 'List all candidates who scored above 85%').
  3. 3 The server runs the necessary tool, fetches the data via DevSkiller, and returns structured results to your agent for action.

The bottom line is that you treat your entire technical hiring pipeline like another chat conversation.

Who Is DevSkiller MCP For?

Tech Recruiters who need real-time data on candidate scores. Hiring Managers who review assessment reports quickly. Talent Acquisition Teams managing large pipelines and needing to track test invitations without logging into a separate dashboard.

Technical Recruiter

Uses search_candidates_by_identity or list_high_score_candidates to quickly check candidate scores on the fly during a call.

Hiring Manager

Requests detailed reports using get_candidate_assessment_report to review technical skill breakdowns via chat, skipping dashboard navigation.

Talent Acquisition Lead

Manages the process by calling invite_candidate_to_test and checking status with list_test_invitations across multiple time zones.

What Changes When You Connect

  • Get immediate performance data. Instead of digging through a dashboard, you just ask for it and the get_candidate_assessment_report tool returns all skill scores instantly.
  • Speed up candidate discovery. Use list_high_score_candidates to pull only top performers based on a score threshold—no manual filtering required.
  • Simplify onboarding. With invite_candidate_to_test, you can send out tests and track the status using list_test_invitations from one command, saving clicks.
  • Maintain a roster view. Use list_assessment_candidates or search_candidates_by_identity to get basic profile info across your entire pool in seconds.
  • Know what's available. Call list_available_tests anytime you need to confirm the ID or name of a specific technical test before sending an invitation.

Real-World Use Cases

01

The Quick Score Check

A hiring manager needs to check if three candidates scored above 80% from last week's assessments. Instead of opening the reports one by one, they ask their agent: 'List all candidates who scored above 80%.' The agent runs list_high_score_candidates and replies with a bulleted list of names and scores.

02

Mid-Process Followup

A recruiter needs to know which candidates haven't started the required test. They ask their agent: 'Show me all pending invitations.' The agent calls list_test_invitations and immediately flags the names, letting the recruiter follow up via email.

03

Debugging a Missing Candidate

A team member can't find a candidate in their internal system. They ask: 'Find the profile for John Doe at example.com.' The agent uses search_candidates_by_identity and pulls up the full record via get_candidate_profile, confirming existence and status.

04

Project Setup Verification

A new team needs to know what tests are available for a role. They ask: 'What technical assessments can we assign?' The agent runs list_available_tests and provides the full catalog, ensuring no necessary test is missed.

The Tradeoffs

Searching by Partial Data

Manually trying to find a candidate when you only remember part of their name or email. This usually involves opening the main dashboard and clicking through filters.

Don't click around. Just tell your agent: 'Search for candidates by identity using John Doe at example.com.' The search_candidates_by_identity tool handles partial keywords immediately.

Assuming Status

Thinking a candidate is ready to go just because you saw their name in the main list. You don't know if they started, failed, or haven't been invited yet.

Always confirm status by calling list_test_invitations first. This shows exactly what stage they are at and if an invitation was even sent.

Over-relying on the Main Dashboard

Logging into DevSkiller, navigating to reports, then manually selecting a candidate's name to see their score. This is slow and error-prone.

Skip the UI entirely. Ask your agent: 'Pull the full assessment report for Jane Smith.' The get_candidate_assessment_report tool delivers the data directly.

When It Fits, When It Doesn't

Use DevSkiller if your primary bottleneck is moving technical assessment data from a siloed platform (DevSkiller) into an actionable conversational workflow. You need to manage multiple states: candidate identity, test availability, invitation status, and final scores. Use this when you want to execute complex multi-step tasks—like 'Find all candidates who took Test X, whose score was < 70%, and invite them to a follow-up call.'

Don't use DevSkiller if your goal is simple data storage or internal system management that doesn't involve candidate assessments. For example, if you just need to know the maximum number of users you can have, get_account_metadata works, but if you are building a completely separate CRM with no relation to hiring tests, this server isn't necessary.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DevSkiller. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_account_metadata get_candidate_assessment_report get_candidate_profile invite_candidate_to_test list_assessment_candidates list_available_tests list_high_score_candidates list_recently_sent_invitations list_test_invitations search_candidates_by_identity

Reviewing candidate scores shouldn't take 20 clicks across three dashboards.

Today, checking on candidates is a clicking nightmare. You open the dashboard, pull up Candidate A's profile to see their status. Then you have to switch tabs to the Reports section, find Test Alpha, and manually compare scores against your benchmark sheet. If you have five people, that’s at least 10 minutes of context switching.

With DevSkiller, the process is a chat command. You ask for the data—'Show me all candidates who scored above 85%.' The agent runs `list_high_score_candidates` and gives you the list immediately. It cuts out the dashboard entirely.

DevSkiller MCP Server: Get Assessment Data Directly in Chat

No more jumping between candidate lists, test libraries, and report filters. You can use `list_available_tests` to verify the correct test ID, then immediately call `invite_candidate_to_test`, all without leaving your chat interface.

The entire talent assessment lifecycle—from discovery (`search_candidates_by_identity`) to action (`invite_candidate_to_test`) and final review (`get_candidate_assessment_report`)—is contained in a single, conversational flow. It's faster, cleaner, and requires way less context.

Common Questions About DevSkiller MCP

How do I find out what tests are available using the DevSkiller MCP Server? +

You call list_available_tests. This tool returns a full list of every technical assessment and coding task configured in your account's catalog, so you know exactly what to assign.

Can I find candidates who scored highly using the DevSkiller MCP Server? +

Yes. Use list_high_score_candidates and specify the score threshold (e.g., 85%). It filters your entire pool down to only top performers.

What's the difference between using `get_candidate_profile` and `get_candidate_assessment_report`? +

get_candidate_profile gives basic identifying information about a candidate. The report tool, get_candidate_assessment_report, pulls the deep performance data: specific skill scores and metrics.

How do I check if an invitation was successfully sent using DevSkiller? +

You can use list_test_invitations to get a master list of all invitations. This shows the current status, letting you know who received it and if they've started.

How do I use `search_candidates_by_identity` to find a specific candidate by name or email? +

You pass the keyword—a name fragment or an email address—to the tool. It quickly narrows your database down, so you don't have to scroll through every entry in list_assessment_candidates. This is best for when you know who you're looking for.

What details does the `get_account_metadata` tool retrieve about my DevSkiller usage? +

It fetches key metadata and operational limits for your account. You can use this to check rate limits or understand how many resources you have left before running heavy reporting jobs. It's good preventative maintenance.

What information do I need when calling `invite_candidate_to_test`? +

The tool requires a specific candidate identifier and the ID of the test you want them to take. Once you provide both, it sends an invitation and confirms that action was taken in your DevSkiller account.

How do I get a complete roster of all candidates using `list_assessment_candidates`? +

Running this tool lists every candidate currently tracked in your system. It gives you the full picture of your talent pool, allowing you to check status and profile data for everyone at once.

How do I get a DevSkiller API Key? +

Log in to your DevSkiller account, navigate to Settings > API, and you can generate or retrieve your unique API Key from that section.

Can the agent show the candidate's code? +

This integration currently focuses on retrieving scores, statuses, and technical reports. Full source code review should be performed within the DevSkiller platform.

How do I invite a candidate via chat? +

You can use the invite_candidate_to_test tool. You will need to provide the candidate's email address and the specific Test ID from your catalog.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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