Loopio MCP. Manage proposals and compliance data conversationally.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Loopio connects your RFP management platform directly to any AI agent. Use it to query approved content from your knowledge library, track active proposal deadlines, and manage complex questionnaire responses conversationally via chat.
What your AI agents can do
Create submission
Creates a new RFP project in Loopio, setting the name, deadline, and owner for team collaboration.
Get project
Retrieves detailed status information for one specific Loopio project using its unique ID.
Get questionnaire responses
Gets all answers or specific answers for a questionnaire entry, showing what's drafted and what needs attention.
List every active RFP, RFI, or security questionnaire in your workspace to check status and due dates.
Search the internal knowledge library for pre-written, approved answers based on keywords or categories.
Pull specific questions and their drafted/finalized answers from any given project ID.
Instantly generate a new RFP or questionnaire submission record with defined parameters like name, deadline, and owner.
List all team members in Loopio to assign ownership or check availability for project roles.
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Loopio MCP Server: 8 Tools for Proposal Management
Orchestrate complex workflows by using these tools to list projects, search the knowledge base, create new submissions, and manage questionnaire data via chat.
019d75cacreate submission
Creates a new RFP project in Loopio, setting the name, deadline, and owner for team collaboration.
019d75caget project
Retrieves detailed status information for one specific Loopio project using its unique ID.
019d75caget questionnaire responses
Gets all answers or specific answers for a questionnaire entry, showing what's drafted and what needs attention.
019d75calist libraries
Lists the available knowledge base stacks in Loopio so you know where to search for approved Q&A content.
019d75calist projects
Retrieves a list of all ongoing or recent RFP projects (RFPs, RFIs) in your entire workspace.
019d75calist questionnaires
Lists every question from an RFP within a specific project to gauge the scope and coverage of responses.
019d75calist team members
Pulls a directory of all team members in Loopio, useful for assigning new project owners or checking availability.
019d75casearch library
Searches the knowledge base using keywords to find pre-approved answers before drafting any new content.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Start with Loopio, 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
Loopio connects your RFP management platform straight to your AI agent. Forget jumping between fifteen tabs just to answer a few questions. This setup turns all that rigid, multi-step workflow into one conversation. You talk to your agent like you're talking to an actual expert who knows every proposal and compliance document inside and out.
Tracking All Proposals: Need the big picture? The list_projects tool pulls a full rundown of every ongoing or recent RFP—whether it's a full Request for Proposal (RFP), a smaller RFI, or a security questionnaire. You can check their status and see which ones are due soon. If you need more details on one specific job, the get_project tool retrieves all that deep-dive data using just the project ID.
Generating New Submissions: Starting from scratch? No sweat. The create_submission tool lets you spin up an entire new RFP or questionnaire record instantly. You'll set the name, lock in the deadline, and assign the owner right there—it gets your team collaborating immediately.
Finding Approved Answers: Before you draft a single word, check the library. The search_library tool searches Loopio’s internal knowledge base using keywords to find pre-approved answers. It shows you exactly what content is ready to go and won't get caught in compliance red tape.
Reviewing Question Responses: When it comes time to tackle a questionnaire, the agent helps you dig into specifics. You can use list_questionnaires to pull out every single question from any project, giving you a clear idea of the scope. For the answers themselves, the get_questionnaire_responses tool retrieves all responses or just specific ones for an entry, letting you track what's drafted and what still needs attention.
Managing Team Assignments: You gotta know who’s doing what. The list_team_members tool pulls a directory of everyone in Loopio so you can assign ownership to new projects or check if someone's available for a critical deadline.
Knowledge Base Management: If your team manages multiple streams of approved content, the list_libraries tool shows you all the knowledge base stacks available. This tells you exactly where your agent is searching when it runs search_library, so you always know which set of rules applies to a given topic.
Basically, instead of clicking through endless forms and manually checking status reports, you just chat with your agent. You can ask things like, “Hey, what’s the due date on the Acme Corp RFI for the security team?” or “Show me all overdue RFPs owned by Sales.” Your agent runs the necessary tools—like list_projects and then maybe get_project—and it spits out a clean list.
You manage your whole proposal pipeline conversationally, without ever leaving your chat window.
How Loopio MCP Works
- 1 Add the Loopio integration to your AI client workspace and provide your Loopio Access Token through API settings.
- 2 Your AI agent authenticates with the MCP Server, gaining read/write access to your proposal data via specific tools like
list_projectsandsearch_library. - 3 You ask a natural language question (e.g., "What are all overdue RFPs?"). The agent translates this into tool calls, executes them against Loopio's database, and presents the structured result.
The bottom line is you talk to your proposal data instead of navigating complex UI menus.
Who Is Loopio MCP For?
Proposal Managers and Compliance Officers. This is for anyone whose job involves handling dozens of time-sensitive, highly structured submissions (RFPs, security audits). If you spend more than an hour a week searching through documents or chasing down project statuses across different spreadsheets, this server is for you.
Using the agent to search the knowledge base via search_library and instantly pulling approved answers into new projects using create_submission.
Running status checks with list_projects to find all open, overdue RFPs, then grouping them by owner or due date.
Querying existing questionnaire data using get_questionnaire_responses across multiple vendor assessments to ensure consistent compliance language.
What Changes When You Connect
- Automate knowledge retrieval. Instead of guessing what answer to use, ask the agent to
search_libraryfor approved content regarding 'SOC 2' or 'GDPR,' pulling in precise text snippets immediately. - Triage your workload instantly. Use
list_projectsto get a single list of every open RFP and RFI, letting you see completion percentages across your entire department at once. - Stop guessing who owns what. The
list_team_memberstool gives you the current team directory, so you can assign project ownership or check availability without opening separate directories. - Streamline onboarding. Use
create_submissionto spin up a brand new RFP project with all required metadata—name, deadline, owner—in one go, skipping manual setup forms. - Verify response coverage. When a client sends an RFI, use
list_questionnairesto see every single question that needs an answer, ensuring nothing slips through the cracks.
Real-World Use Cases
The Compliance Audit Panic
A security officer receives a new vendor request for compliance details. Instead of searching three separate shared drives and manually checking internal wikis, they ask their agent: 'Search the library for all approved answers about GDPR.' The agent runs search_library, instantly returning the exact, vetted text blocks needed for the response.
The Overdue Project Check
A sales manager needs to know which deals are falling behind. They prompt the agent: 'List all projects that are 70% complete but due next week.' The agent uses list_projects and filters the results, giving the manager an actionable list of high-risk proposals.
Starting a New Deal
A team member gets a new lead. Rather than emailing a project kickoff form, they ask the agent to 'Create a new RFP for Acme Corp with a deadline of next month.' The agent uses create_submission, initializing the project and setting up the necessary tracking within Loopio.
Reviewing Questionnaire Consistency
A compliance officer needs to review how three different vendors answered the same question about data retention. They ask: 'Get responses for Q3 on Project XYZ.' The agent runs get_questionnaire_responses, pulling up all submissions and allowing side-by-side comparison of answers.
The Tradeoffs
Searching by memory
Typing in a generic prompt like 'Give me some compliance stuff' or relying on old bookmarks that point to outdated knowledge.
→
Always start with search_library. This tool forces the agent to query your structured, approved Q&A entries first, ensuring you use vetted content.
Manual status checks
Opening the Loopio dashboard and clicking through tabs for every project—one by one—just to compile a list of overdue deadlines.
→
Use list_projects. This tool retrieves all projects into one view, allowing you to query or filter them instantly via conversation.
Creating projects manually
Opening the UI and filling out every field (Name, Owner, Deadline) just to start a new submission record.
→
Just tell your agent: 'Create a new RFP called [Project Name] due on [Date].' The create_submission tool handles all the required data entry for you.
When It Fits, When It Doesn't
Use this MCP Server if your proposal or compliance workflow is highly structured, relies heavily on pre-approved content, and involves tracking multiple deliverables (RFPs, RFIs). You need a single source of truth that can be queried conversationally.
Don't use it if: 1) Your proposals are simple emails with no required structure. 2) All your knowledge is stored in an unstructured wiki or shared Google Drive folder (you'll need a content cleanup first). 3) You only need to view data and never create new submissions.
The server excels when you combine list_projects (tracking) with search_library (content retrieval) and finalize the process using create_submission (action). It keeps your entire, complex workflow inside a chat window.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loopio. 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
Chasing down proposal status across multiple dashboards is a waste of time.
Right now, if you need to know the completion percentage on an RFI submitted last month, you have to log into Loopio's dashboard. You filter by project type, then search for the client name, and finally check the status widget. If you have twenty clients, that means twenty separate clicks just to get a summary.
With this MCP server, you simply tell your agent: 'What is the completion percentage on all active RFPs?' The agent runs `list_projects` and spits out a clean, consolidated report in seconds. You don't touch a dashboard; you just ask for the answer.
The Loopio MCP Server makes content retrieval instant.
Before this, if someone asked about SOC 2 compliance, the Proposal Manager had to open the internal knowledge wiki. They'd manually search for 'SOC 2,' find a document, copy the relevant paragraph, and then paste it into the RFP response template—a process that takes minutes and risks citing outdated info.
Now you just ask your agent: 'What is our approved statement on SOC 2?' The agent runs `search_library`, retrieves the exact text snippet from the master library, and gives it to you. It's vetted, ready-to-use content delivered in one step.
Common Questions About Loopio MCP
How do I use the `list_projects` tool? +
Use this tool when you need a general overview of your work. Simply ask the agent to 'list all active projects' or 'show me RFPs due in Q3.' It gives you IDs and high-level status data.
Can I search for answers using `search_library`? +
Yes, this is its primary function. You tell the agent what topic you need (e.g., 'data privacy'), and it runs a detailed search against your knowledge base to return approved text blocks.
What does `get_questionnaire_responses` do? +
This tool pulls specific answers for a given project ID. If you don't provide an entry ID, it returns all questions and their current response status, helping you track gaps.
`create_submission` requires what information? +
You must supply the required project name. You can optionally add a description, company context, due date, or assign an owner when calling create_submission.
How do I check who is on my team? (list_team_members) +
Just prompt the agent to 'List all available team members.' The tool runs and provides a clean roster of user IDs and names for assignment purposes.
What should I check if `list_projects` fails or returns an empty list? +
First, verify your Loopio Access Token. If the token is valid but you still see nothing, it means your AI client lacks permission to view projects in that workspace. Check the API settings for required scopes.
How does `get_questionnaire_responses` handle multiple questions within one project? +
It retrieves all responses associated with a specific entry ID, even if that question appears across several different projects. You can use the optional parameters to filter by date range or status.
If I forget mandatory fields when running `create_submission`, what happens? +
The API will return an error detailing exactly which required field is missing—for example, if you omit a project name. You must include the main project title to start the process.
What authentication does Loopio require and where do I get my token? +
Loopio uses OAuth2 with Bearer token authentication. You need to generate an access token from your Loopio account under Settings -> API. The token provides secure, scoped access to your projects, libraries, and team data.
Can the AI agent search and retrieve approved answers from my Loopio library? +
Yes. The search_library tool lets the agent query your master knowledge base using natural language. It searches across question text, answer text, and tags, returning the most relevant approved entries with their full content. This ensures your AI responses are always based on pre-approved, accurate information.
Can I create new RFP projects programmatically through the AI agent? +
Absolutely. The create_submission tool allows the agent to spin up new Loopio projects with a name, description, company context, due date, and assigned owner. The project is created in 'Not Started' status and ready for immediate team collaboration and answer drafting.
How do I track the progress of active RFPs across my workspace? +
Use list_projects to see all active initiatives with their current status, then drill into any project with get_project to check completion percentage, due dates, and ownership. You can also use list_questionnaires to see every individual question and which ones still need answers.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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