COR MCP. Master Agency Profitability from Conversation
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COR MCP connects your professional services platform to your AI agent, letting you manage project profitability and resource allocation through conversation.
Instantly track active projects, map out team utilization, and verify time entries without opening a dashboard. It's total control over agency finances and operations, all in one chat interface.
What your AI agents can do
Check cor status
Checks the current API connection status of your COR account.
Create cor project
Initializes and creates a new project record in the system.
Get cor me
Retrieves basic details about your current user profile.
List every current project and pull up detailed status metadata for instant visibility.
Review the entire organization structure, listing teams, individual members, and their assigned roles to prevent burnout or bottlenecks.
Access financial metrics and project health data directly through conversation to monitor margins in real-time.
Pull detailed records of technical time entries or query specific tasks to understand operational delivery and efficiency.
Query the complete directory of client organizations, ensuring you have perfect context for every project conversation.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
COR MCP: 13 Tools for Agency Management
These tools let your AI agent query every aspect of your professional services business—from client lists to time entries.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using COR on Vinkius019dd0d7check cor status
Checks the current API connection status of your COR account.
019dd0d7create cor project
Initializes and creates a new project record in the system.
019dd0d7get cor me
Retrieves basic details about your current user profile.
019dd0d7get cor project
Fetches all detailed information for one specific project ID.
019dd0d7get cor task
Retrieves full details and status for a single, specified task.
019dd0d7list cor clients
Lists all connected client organizations in your directory.
019dd0d7list cor projects
Provides a complete list of every project you have on file.
019dd0d7list cor task types
Shows all the defined categories or types of tasks available in your system.
019dd0d7list cor tasks
Lists multiple tasks, optionally narrowing the focus to a specific project ID.
019dd0d7list cor team members
Retrieves a list of all users who belong to your organization's team structure.
019dd0d7list cor team users
Lists the specific users assigned to a designated team group.
019dd0d7list cor teams
Shows all organizational teams and groups you've set up.
019dd0d7list cor time entries
Pulls a list of all recorded time entries across your organization for billing records.
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.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
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Start with COR, then connect any of our 4,900+ other servers whenever your AI needs more. One click, no limits.
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by COR. 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 13 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Manual Chore of Status Updates
Right now, figuring out where a project stands means jumping between the Project dashboard to see status flags, then opening the Task module to check task deadlines, and finally running the resource report just to see who is assigned. You copy IDs, switch tabs, and cross-reference dates until your eyes hurt.
With this MCP, you talk to your AI agent. You ask, 'What's the status of Project Alpha?' The response aggregates data from all those different places—the project record, the task list, and even time logs—and gives you a single, clean answer.
COR MCP: Control Over Your Data
The manual process of checking team workload requires listing all teams via `list_cor_teams`, then calling `list_cor_team_users` for each, and finally cross-referencing those names against the time entries using `list_cor_time_entries`. It's a multi-step data audit.
Now, you just ask your agent to 'Show me resource utilization.' The MCP coordinates all those tool calls behind the scenes. You get instant operational insight without ever seeing an API call or manual ID copy.
What you can do with this MCP connector
Forget clicking through five different tabs just to figure out if the 'Website Redesign' job is actually making money. This MCP gives you full command of your entire project portfolio and team resources using only natural language. You ask the questions—like 'What's our margin on Client X?' or 'Who's working too much this week?'—and your agent pulls the exact, high-fidelity data back immediately.
It treats all your projects, tasks, client lists, and time logs as one unified pool of information. When you connect this MCP via Vinkius, your AI becomes a dedicated project coordinator, giving you deep financial insight while keeping you in your preferred chat environment.
019dd0d8-07a2-70b5-91a5-8fb3883af305 
How COR MCP Works
- 1 Subscribe to this MCP and pull your Personal API Token from your COR account settings.
- 2 Connect your token through any AI agent or MCP-compatible client in Vinkius.
- 3 Tell your AI what you need—'List all projects for Q3 profitability.'—and it handles the rest.
The bottom line is, you never manually pull a report again; you just ask your AI agent directly.
Who Is COR MCP For?
This MCP is for agency leads and operations managers who spend too much time compiling status reports from multiple sources. It's for the person who needs to know, right now, if a project is profitable or if a team member is overloaded.
You use this MCP to list all active projects and tasks instantly, letting you communicate status updates without leaving your main workspace.
You monitor profitability metrics for the whole agency and check team utilization across multiple clients to keep the business healthy.
You verify technical time logs and team assignments, optimizing resource allocation by asking simple questions about who's doing what.
What Changes When You Connect
- You stop guessing on project health. Asking the agent to query profitability metrics gives you immediate, actionable data about your margins.
- Resource planning becomes simple. Instead of checking multiple dashboards, you ask for a list of team members and then check their time logs; it's all in one flow.
- Never lose context again. You can pull the complete client directory using
list_cor_clientsbefore starting a conversation, guaranteeing accuracy on every job. - Project status checks are instant. Use
get_cor_projectto grab detailed info and then follow up withlist_cor_tasksfor an operational breakdown—all in one chat session. - Time tracking is painless. You can run
list_cor_time_entrieson demand, giving you a full audit of recorded labor hours without logging into the time sheet tool.
Real-World Use Cases
Checking Q4 Financial Health
An agency lead needs to know if their top 5 clients are meeting profitability targets. They ask the agent, 'Show me all projects and calculate current margins.' The MCP uses list_cor_projects and financial data streams to deliver a summarized report instantly.
Onboarding a New Employee
An operations manager needs to know who is on the team and what roles they have. They ask the agent for 'all team members' using list_cor_team_members. The response gives them immediate access to the full organizational chart.
Auditing Project Overruns
A project manager realizes a job is running late. They ask the agent for 'all tasks assigned to this project' using list_cor_tasks. The MCP returns the list of technical pipelines and flags which ones are behind schedule.
Billing Verification
A billing specialist needs to confirm hours worked last month. Instead of digging through spreadsheets, they ask for 'time entries from May' using list_cor_time_entries and get a clean list ready for invoice creation.
The Tradeoffs
Sequential Dashboard Diving
Opening the project dashboard, noting the ID; opening the task manager to filter by that ID; then running a separate report on resource capacity. This takes 10 minutes and four clicks.
→
Ask your agent directly: 'Show me the profitability for Project Alpha.' The MCP handles get_cor_project, checks margins, and pulls tasks simultaneously in one response.
Using Vague Search Terms
Typing 'profit' or 'status' into a general search box. These tools lack the context of specific project IDs or timeframes.
→
Be specific and conversational: 'What is the profitability for Project ID 123?' This directs the agent to use get_cor_project combined with financial analysis.
Ignoring Team Structure
Trying to find a person's work time without knowing if they belong to a specific team or client. The data gets mixed up.
→
First, list the teams using list_cor_teams, then use list_cor_team_users to narrow down who you need before checking their time entries.
When It Fits, When It Doesn't
Use this MCP if your biggest pain point is synthesizing data from different COR modules—you need a single view of profitability, resources, and tasks. You must be dealing with professional services or agency work where margin tracking matters. Don't use it if you just need to manage basic client contacts; for that, a simple contact management tool works better. If your goal is only to create new projects without checking existing data, create_cor_project handles that, but you'll miss the crucial profitability context.
Common Questions About COR MCP
How do I check if a project is profitable using list_cor_projects? +
You ask your agent to 'Check profitability for all active projects.' It uses the data from list_cor_projects and runs financial analysis on the results, giving you a margin report.
Do I need multiple tools to see tasks assigned to a project? +
No. You simply ask your agent about tasks for that specific project, which triggers the use of list_cor_tasks and pulls all the technical details you need in one go.
What if I want to see team members who worked on a client? +
You can combine calls. Ask your agent for 'team members connected to Client X.' The MCP coordinates list_cor_clients with list_cor_team_members to give you the right people.
Is there a tool to start a new project? +
Yep. Use create_cor_project. You just tell your agent what parameters are needed, and it handles initiating the record for you.
How do I verify my API connection status using check_cor_status? +
It immediately confirms if your personal API Token is active. The response tells you whether COR can access the necessary endpoints, so you know right away if there's an issue with setup or authentication.
What information does get_cor_me return about my account details? +
This tool retrieves your current user profile metadata. You get crucial identifying data like your unique User ID and name, which is essential if you need to track or script actions tied specifically to your account.
How can I accurately filter tasks for a specific job using list_cor_tasks? +
You pass the required Project ID as an optional filter parameter. This ensures that instead of getting all tasks, you isolate only the technical pipeline data relevant to one project.
If I need to analyze many historical records, how should I use list_cor_time_entries? +
For large datasets, always utilize date range filters within your request. This prevents timeouts and gives you efficient access to the exact workload distribution data you're looking for.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.