CoderPad MCP. Manage entire technical assessments via conversation.
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CoderPad connects your technical hiring workflow to your AI agent. Use it to create live coding pads, track every event in an interview session, and audit your organization's question bank—all without opening the dashboard.
It gives your agent full control over the entire candidate assessment lifecycle.
What your AI agents can do
Create new interview pad
Generates a new, live collaborative coding pad for an interview.
Get coderpad usage history
Retrieves a history of how often the pads were used and how much quota was consumed.
Get my coderpad profile
Gets basic information about the user who is authenticated with the system.
The agent generates a new, live coding environment for a candidate using the create_new_interview_pad tool.
You retrieve a play-by-play log of every action taken during a specific coding session using the get_pad_event_log tool.
The agent pulls the latest code and status for a pad, letting you see exactly what the candidate is working on via get_pad_session_details.
You list all users and interviewers associated with your organization using the list_coderpad_org_users tool.
You pull the list of available interview questions from the stored question bank using the list_coderpad_questions tool.
The agent retrieves a list of all existing technical interview pads (sessions) using the list_coderpad_sessions tool.
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CoderPad MCP Server: 8 Tools for Interview Management
Use these tools to create, track, and audit every step of the technical assessment process, from setting up the pad to reviewing the final code.
019d7576create new interview pad
Generates a new, live collaborative coding pad for an interview.
019d7576get coderpad usage history
Retrieves a history of how often the pads were used and how much quota was consumed.
019d7576get my coderpad profile
Gets basic information about the user who is authenticated with the system.
019d7576get pad event log
Pulls a play-by-play log of every action (like typing or running code) that happened in a specific pad.
019d7576get pad session details
Fetches detailed information for a specific pad, including the current code written and its status.
019d7576list coderpad org users
Lists all users and interviewers who have access within the organization's account.
019d7576list coderpad questions
Retrieves the full list of available questions stored in the company's question bank.
019d7576list coderpad sessions
Lists all technical interview pads (sessions) that have been created.
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What you can do with this MCP connector
CoderPad MCP Server - Manage Coding Interviews
Connect your CoderPad account to your AI agent. It gives your agent full control over the whole candidate assessment lifecycle—you don't even gotta open the dashboard. Your agent can set up, track, and review technical interviews using natural conversation.
Creating and Managing Interview Pads
Your agent can generate a new, live collaborative coding pad for a candidate using create_new_interview_pad. You can list all existing technical interview pads (sessions) with list_coderpad_sessions. You can also grab basic info about the user authenticated with the system using get_my_coderpad_profile.
Tracking and Auditing Sessions
When an interview is happening, your agent pulls a play-by-play log of every action—every keystroke, every time the candidate ran code—from a specific pad using get_pad_event_log. You can also get the current code and status for a pad using get_pad_session_details. You'll see exactly what the candidate's working on right now.
Managing Content and Users
Your agent pulls the list of available interview questions from the stored question bank using list_coderpad_questions. It can list all users and interviewers who have access within your organization's account using list_coderpad_org_users.
Checking Usage and History
Your agent retrieves a history of how often the pads were used and how much quota was consumed using get_coderpad_usage_history.
How CoderPad MCP Works
- 1 Subscribe to the CoderPad server and input your CoderPad API Key (it's in Settings > API).
- 2 Tell your AI client what you need to do (e.g., 'Create a Python pad for Jane Doe').
- 3 The agent calls the necessary tool, retrieves the data, and presents the results directly in the chat.
The bottom line is you manage your entire technical interview lifecycle through your chat interface, not a web dashboard.
Who Is CoderPad MCP For?
This is for technical recruiters and hiring managers who need to move fast and audit processes without leaving their chat window. It’s for the person who gets tired of clicking through dashboards at 2 a.m. to check a candidate's progress or review an interview's full log.
Automate pad creation and check candidate progress using natural language commands.
Audit interview event logs and review code submissions without needing to open the CoderPad dashboard.
Quickly set up interview environments or look up specific technical questions directly from the chat interface.
What Changes When You Connect
- Track the full history of an interview. Instead of digging into a dashboard, use
get_pad_event_logto get a play-by-play of every single keystroke and execution in a session. - Instantly see the candidate's work.
get_pad_session_detailsgives you the current code contents and status for a pad without needing to open the actual coding environment. - Manage the hiring pipeline from chat. Use
create_new_interview_padto spin up a new coding environment instantly, whether you're running a test or prepping for a meeting. - Keep your question bank organized.
list_coderpad_questionslets you review and list all available interview questions directly in the chat, so you don't lose track of your resources. - Audit team access.
list_coderpad_org_userslets you verify who can access the system and who the authorized interviewers are, keeping your data locked down. - See all sessions at a glance. Use
list_coderpad_sessionsto get a list of every pad created, helping you track which interviews are active or completed.
Real-World Use Cases
Reviewing a Candidate's Flaws
A hiring manager needs to know if a candidate struggled with state management during a specific session. They ask their agent to run get_pad_event_log for that pad. The agent returns a detailed, chronological log, showing exactly when the candidate ran the wrong command and what the code looked like at that moment. They solve the problem without opening a single tab.
Onboarding a New Interviewer
A technical recruiter needs to set up a testing environment for a new interviewer. They ask the agent to create_new_interview_pad and specify the language and role. The agent generates the pad, provides the invite URL, and can even preload a question if requested. The recruiter moves straight to testing, skipping manual setup.
Auditing Usage and Quota
An ops team needs to check if the team is approaching its usage limit. They prompt the agent to run get_coderpad_usage_history. The agent returns the usage and quota consumption metrics, allowing the ops team to immediately flag potential budget issues before they happen.
Preparing for a Specific Role
A software engineer needs to prepare a set of questions for a role change. They ask the agent to use list_coderpad_questions. The agent pulls the entire available question bank, allowing the engineer to review and select the best 5 questions for the new job description, all from the chat.
The Tradeoffs
Manual Dashboard Navigation
A manager has to log into CoderPad, find the specific candidate's folder, click 'View Logs,' and scroll through pages of raw JSON data to find the moment of failure.
→
Ask your agent to run get_pad_event_log and filter the results by the date range and action type. The agent gives you the filtered, plain-text log immediately in the chat.
Guessing the Code State
You open the pad, but the candidate is currently working on a separate file or has just switched contexts, so the code you see isn't the most recent, accurate state.
→
Use get_pad_session_details to pull the most current code contents and metadata for the pad, guaranteeing you see the absolute latest state, regardless of what your screen shows.
Forgetting the Question Bank
When asked to run a new interview, the team lead relies on institutional memory, manually pulling old questions from shared drives, risking using outdated or irrelevant material.
→
Use list_coderpad_questions to pull the entire, verified question bank directly into your chat, ensuring you are only using approved, up-to-date materials.
When It Fits, When It Doesn't
Use this server if your core need is deep, conversational access to technical interview data—specifically, if you need to audit how an interview happened (events) or what the code was at a specific moment. Don't use it if you just need to know who is in the company (use simple directory APIs for that) or if your workflow doesn't involve live coding assessments. If your goal is simply to list users, use a simple directory tool; don't pull in the complexity of get_pad_event_log when you only need names. This tool is for the entire assessment lifecycle, from setup to deep audit.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoderPad. 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 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking a candidate's performance shouldn't require jumping between five tabs.
Today, reviewing a candidate's performance means logging into CoderPad, finding the right session, and manually clicking through various dashboards. You check the general status, then switch to the code view, then look for the event log. It's a painful, multi-step process that loses context and takes forever.
With this MCP server, you just ask your agent. You tell it, 'Show me the events for the session yesterday.' The agent runs `get_pad_event_log` and returns the complete, filtered, play-by-play log directly in the chat. You get the insight immediately, without leaving your workflow.
CoderPad MCP Server: Get the full assessment picture.
You eliminate the need to manually check user roles, list sessions, and then look up the question bank separately. You can ask the agent to list all users (`list_coderpad_org_users`) and simultaneously check which sessions are active (`list_coderpad_sessions`).
The difference is that you get an orchestrated view. You don't just get data; you get answers to complex questions—like, 'Who can access this, and what was the last question asked in the active sessions?'
Common Questions About CoderPad MCP
How do I use the get_pad_event_log tool to see a candidate's actions? +
Yes, get_pad_event_log retrieves a detailed, chronological record of every action (typing, execution, etc.) in a specific pad. It's your full audit trail for an interview session.
Can I use create_new_interview_pad to set up a test environment? +
Absolutely. create_new_interview_pad generates a new, live collaborative coding pad. You can specify the language and name the session, letting you skip the manual setup steps.
What information does get_pad_session_details give me? +
This tool provides detailed information about a specific pad, including its current code contents and overall status. It’s how you verify the current state of the work without opening the dashboard.
How do I check if my team has used up its quota? +
Use get_coderpad_usage_history. This tool pulls a history of pad usage and quota consumption, letting you monitor your usage metrics in one place.
Do I need to manually list all users before I can run an interview? +
No, your agent handles that. You can use list_coderpad_org_users to list all users and interviewers, but the agent can also manage the flow automatically based on your natural language request.
What do I use the list_coderpad_questions tool for? +
It shows you all available interview questions from your organization's bank. You can review the full list to select a question before creating a new pad or checking existing ones.
How do I manage user access with list_coderpad_org_users? +
This tool lists all users and interviewers in your organization's account. You use it to verify who has access to the platform and manage who can run interviews.
Does get_coderpad_usage_history show usage across all my teams? +
Yes, this tool retrieves a history of pad usage and quota consumption. You can check if the overall account or specific teams are approaching their usage limits.
Can I see the code a candidate wrote in a pad through the agent? +
Yes! Use the get_pad_session_details tool with the pad ID. The agent will return the current contents of the pad, allowing you to review the code without opening your browser.
How do I check the full event log for an interview session? +
Use the get_pad_event_log tool. Your agent will fetch a play-by-play history of all actions in the pad, which is useful for auditing the candidate's process and execution steps.
Where do I find my CoderPad API Key? +
Log in to CoderPad, navigate to Settings, and select API. You can generate and copy your API key from that section.
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Connect this server to Cursor, Claude, VS Code, and more.
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