Mela MCP for AI. Manage costs, log hours, and sync sites.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Mela connects your AI agent directly to your operational workspace data. It lets you query job site statuses, track material consumption, record labor hours, and send updates—all without leaving your editor.
Stop switching between field apps, spreadsheets, and chat tools; manage the entire project lifecycle through natural conversation.
What your AI can do
Create activity
Creates a new job site or activity record in the system.
Get accounting data
Retrieves cost and accounting data for a specific project activity.
Get activity
Pulls all core details for one particular job site or activity.
Records man-hours worked or tracks physical material usage on any job site.
Pulls specific records about a given activity, including status, teams, and history.
Retrieves detailed cost and accounting figures tied to an active job site or project.
Posts text updates, notes, or status changes directly into a specific activity feed or channel.
Lists all active job sites and provides an overview of available checklists for any project.
Ask an AI about this
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Mela MCP Server: 12 Tools for Project Operations
Manage everything from logging resources to listing users. Use these tools to give your AI agent deep, actionable access into your operational and financial data.
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 Mela on VinkiusCreate Activity
Creates a new job site or activity record in the system.
Get Accounting Data
Retrieves cost and accounting data for a specific project activity.
Get Activity
Pulls all core details for one particular job site or activity.
Get Me
Provides information about the user currently running the agent.
List Activities
Lists every active job site and project on record.
List Checklists
Retrieves all mandatory checklists associated with a specific activity type.
List Teams
Provides a list of teams defined within the workspace structure.
List Users
Lists every member who belongs to the workspace.
Log Materials
Tracks and records how much material was consumed at the job site.
Log Work Hours
Records man-hours worked by personnel for an activity.
Post Message
Sends a text note or update to a specific project activity feed.
Update Activity Status
Changes the current status of a job site (e.g., from 'In Progress' to 'On Hold').
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Mela integration is available immediately — no restart needed.
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
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Mela, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mela. 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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Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Juggling job status across tabs and spreadsheets is exhausting.
Right now, updating a single job site's progress means jumping between the main project dashboard, opening an accounting tab to check costs, and finally going into Slack to announce the change. You spend 15 minutes just gathering evidence for one status update.
With Mela, you talk to your agent. 'Update Site Gamma: Status is delayed due to material shortage.' The system instantly calls `update_activity_status`, posts a note via `post_message`, and alerts the relevant team members—all in one shot.
Using Mela MCP Server: Activity & Team Data
You don't have to manually cross-reference who is available, what resources were used, and how many hours were billed. The agent aggregates this by calling `list_users` before querying the necessary resource logs.
The difference now? You stop managing data inputs, and you start making decisions based on instant, unified intelligence.
What your AI can actually do with this
You're tired of jumping between spreadsheets, field apps, and chat tools just to manage a single job site? This Mela MCP Server hooks your agent directly into your operational workspace data. You don't have to switch anything; you talk to your AI client, and it handles the entire project lifecycle for you.
When you need an overview of what's going on, start by calling list_activities—it gives you a list of every active job site and project recorded in the system. If you want deep details on any single site, use get_activity; that pulls all the core data points for one particular location or activity.
To make sure nothing critical is missed when starting up, your agent can run list_checklists, which retrieves all mandatory checklists tied to a specific type of job. You also need to know who's working there and what teams are involved; calling list_users gives you every member in the workspace, while list_teams provides a breakdown of the defined operational teams.
Tracking costs requires multiple steps. When you run get_accounting_data, it pulls detailed cost and accounting figures for an active project activity. If you need to know exactly what materials were used on site, use log_materials; this tracks consumption right where it happened. For labor tracking, calling log_work_hours records man-hours worked by personnel against a specific activity.
When the job status changes, you update it with update_activity_status. You can switch a site's state—say, moving it from 'In Progress' to 'On Hold'—using this tool. If you need to set up a brand new operation, run create_activity to generate a fresh record for the job site or activity.
For keeping people in the loop, your agent can send status updates using post_message, dropping text notes or updates right into the project feed. Need to talk about who's running the current agent? Use get_me; it gives you info on the user currently operating the tool. You can also check out basic team structure by calling list_teams and listing all members via list_users.
This server lets your AI client manage everything from logging resource usage to updating job site status, all within a single chat interface.
019dd122-4788-71dd-a967-4a7fe82fd529 
Here's how it actually works
The bottom line is... your AI client calls multiple tools in sequence—like listing users, getting costs, and then logging time—to build a single, cohesive answer without you having to click through any menus.
Start by asking your agent to list activities (e.g., 'List all current job sites'). The tool returns the scope of work.
Next, tell it what data you need for one site (e.g., 'What's the cost and who is working on Site B?'). It calls get_accounting_data and list_users.
Finally, ask it to perform an action (e.g., 'Log 8 hours of work today for Site B'). The agent executes log_work_hours and confirms the update.
Who is this actually for?
Project Managers who spend all day context-switching between field reports, accounting software, and Slack channels. It’s for the Operations Coordinator tired of manually compiling end-of-day summaries from disparate systems. If your job involves coordinating physical work sites with digital financial records, you need this.
Uses it to pull real-time costs and labor logs across multiple active sites without opening the ERP system.
Manages team updates by posting messages and updating activity statuses, maintaining a single source of truth for project health.
Logs materials consumed (log_materials) and records daily man-hours directly through the agent interface.
What Changes When You Connect
Consolidate Project Data: Instead of querying three separate databases for status, cost, and personnel, your agent uses list_activities and then pulls related data via tools like get_accounting_data. You get one answer.
Real-Time Field Logging: Manually entering hours or materials is slow. With Mela, logging time (log_work_hours) or resources (log_materials) happens instantly through a single prompt to the agent.
Single Source of Truth: When an activity status changes, don't update it in three places. Use update_activity_status and have your AI client record that change immediately across all connected records.
Team Clarity: Need to know who’s available? Running list_users gives you the full roster instantly. You can then query specific team roles (get_me) to confirm permissions or status.
Centralized Communication: Posting an update via post_message ensures that critical notes—like a delay or issue—land in the official activity feed, not lost in personal emails.
See it in action
The Daily Status Report
A PM needs to send an end-of-day report. Instead of opening list_activities and then manually checking the status, they ask their agent: 'Give me a summary of all sites that are yellow/at risk.' The agent calls get_activity for each site, pulls the latest post_message, and drafts the full executive summary.
Cost Overrun Investigation
The finance team flags a cost overrun. Instead of digging through invoices, they ask: 'What is the total accounting data for Site 3?' The agent executes get_accounting_data and cross-references it with recent inputs from log_materials to pinpoint where resources went wrong.
Crew Roster Check
A foreman needs to know who is assigned to a job site and if they are current employees. They prompt: 'List all users for Site X.' The agent runs list_users, filters by the required role, and confirms availability before starting work.
Process Documentation
The PM needs to ensure the crew follows protocol. They ask the agent: 'What are the mandatory steps for this type of activity?' The agent calls list_checklists, providing the required documentation so they can enforce compliance immediately.
The honest tradeoffs
Manual Status Updates
Updating a job status means logging into the main platform, finding the project, clicking the dropdown menu, and selecting 'Complete'. This takes 4 clicks and creates no audit trail.
Just ask your agent: 'Set Site Alpha to Completed.' The tool update_activity_status handles the state change immediately, creating a logged record.
Data Fragmentation
Someone logs hours in Excel, materials in an app, and status updates via email. Nobody knows which data is current or authoritative.
Use the agent to orchestrate inputs. First call log_work_hours, then use log_materials for resources. Finally, tell it: 'Update the overall activity status.' It keeps everything synced.
Ignoring Context
Just sending a message without specifying which job site or team it relates to.
Always preface your update with context. Say: 'For Site Beta, send an update saying we hit a delay on the plumbing.' The agent uses post_message and targets the correct activity ID.
When It Fits, When It Doesn't
Use Mela if your core workflow involves linking physical resource tracking (labor/materials) to financial outcomes (accounting data) within structured project phases. If you need to know 'What is costing us money, and how many hours did we spend?', this server handles it.
Don't use Mela if all you need is a simple chat bot or internal knowledge base lookup. For general Q&A on company policies, connecting the agent to a document retrieval system (like a custom RAG tool) is better. If your process never involves logging time, money, or physical inventory, this server is overkill — just use basic messaging APIs instead.
Questions you might have
Can the AI send messages to a specific channel? +
Yes, just mention the channel name or ID, and the AI will post the message directly on your behalf.
How do I fetch the latest updates from my team? +
You can ask the agent to summarize recent activity in a specific project or channel.
Does it support reading project task boards? +
Yes, the agent can list tasks, check assignees, and verify current statuses in your Mela projects.
How does using get_accounting_data help me track job site costs? +
The AI agent retrieves cost and accounting data for a specific activity. It pulls metrics like material expenses and labor hours, giving you a full financial picture without manual spreadsheet work.
What is the process when I need to log_materials on an active job site? +
The agent tracks material consumption directly against your project. When you call log_materials, it records exactly what was used and where, keeping your inventory data current for accounting.
Do I need to run list_users before I can send updates? +
You should run list_users first. This provides the full directory of workspace members and confirms valid user IDs you'll need if your prompt requires addressing a specific team member.
What happens if I try to update_activity_status with invalid data? +
The tool validates the input status against established activity protocols. If the provided status is invalid or incomplete, it returns a precise error message detailing what needs correction.
How can list_activities help me manage multiple sites? +
It lists every job site or activity in your workspace. You can pass this full list to the agent so it knows all possible project contexts, letting you query statuses across many locations at once.
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