Orbit MCP. Manage community data from a single conversation.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Orbit manages community relationships directly through your AI client. It lets you list full member profiles, track activity history across the workspace, and add contextual notes to any member record—all without switching tabs.
The agent lists all community members and pulls up comprehensive records, including social links and reach metrics.
You can view the overall timeline of workspace activities or create new activity logs for specific users.
The agent searches and returns details on any organization linked to a member’s profile.
You write a note (e.g., 'Had great call') that gets saved permanently to the member's record.
The agent compiles and returns a full, chronological log of activities for any specified member.
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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
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Start with Orbit, 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
- 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
What you can do with this MCP connector
Yo, forget jumping between a dozen tabs just to figure out who's talking to who. You gotta connect Orbit to your agent; it lets you manage community relationships right through natural conversation. This thing gives your AI client a single source of truth for every member in your network. It tracks the whole lifecycle—from initial profile listing all the way up to logging deep interactions and tracking activity spikes, and you don't gotta lift a finger or switch screens.
When you need to know who someone is, Retrieve member profiles lists every single person in your community. Your agent pulls up comprehensive records for each one, showing off stuff like their social links and their reach metrics right there in the chat window. You can also use this capability to Find associated organizations, so if a member's profile is linked to multiple groups, it returns details on all of those attached organizations.
Need context? Add context notes to profiles lets you jot down quick reminders—say, 'Had great call with Mark about Q3 budget.' That note sticks permanently right onto the member’s record. It keeps every interaction visible to your whole team without needing a separate document or spreadsheet.
When it comes to activity, Monitor community activity shows you the entire timeline of everything happening across the workspace. You can view that overall flow, and if something happens with one specific user, you can create new activity logs for them right from the chat. If you need to deep-dive into a single person's movements, Get detailed engagement history compiles and spits out a full, chronological log of every action they took—you see their whole contribution level in one place.
It’s all about making sure your agent has everything it needs, whether that's pulling the initial member list with social links, checking which organizations are tied to them, or just adding a quick note about what went down on last Tuesday. You don't waste time; you get the data instantly.
How Orbit MCP Works
- 1 Subscribe to the Orbit server and provide your API Key and Workspace ID.
- 2 Your AI client connects and validates the credentials against your community workspace.
- 3 You ask a natural language question (e.g., 'Show me John Doe's activity history'), and the agent executes the necessary tool calls to get an answer.
The bottom line is that you manage complex community data by talking to your AI client, not by clicking through dashboards.
Who Is Orbit MCP For?
Community Managers who are tired of losing context on member interactions. DevRel teams needing a single source of truth for contributions across GitHub and Twitter. Marketing Ops roles that need to quickly assess the activity levels of specific user segments.
Uses Orbit to check a member's full activity history before a meeting, or adds notes immediately after an interaction so nothing gets forgotten.
Tracks contributions and engagement across multiple platforms—like GitHub PRs and Twitter posts—to measure developer health.
Monitors the growth rate and activity levels of specific community segments using simple queries to guide campaign focus.
What Changes When You Connect
- Get full member visibility instantly. Use the 'List members and retrieve detailed profiles' tool to see social links and reach metrics without leaving your chat window.
- Maintain context effortlessly. The 'Add notes to member profiles' tool lets you log key interaction details right where the data lives, ensuring no follow-up point is missed.
- Understand member journeys at a glance. The 'Fetch detailed engagement history' tool compiles everything—tweets, webinars, PRs—into one clear timeline for quick assessments.
- Track growth and connections. Use 'List members and retrieve detailed profiles' to understand who belongs to which organization by calling the associated organizations tool.
- Log activities with zero friction. Instead of manually updating a spreadsheet, use 'Monitor activity timeline and create activities' to keep your records current.
Real-World Use Cases
Pre-Meeting Prep for Stakeholders
A Community Manager needs to brief their VP on the last quarter. Instead of pulling data from five different dashboards, they prompt their agent: 'Show me John Doe's full activity history.' The agent runs 'Fetch detailed engagement history' and immediately provides a summary of his contributions across all platforms.
Onboarding New Dev Teams
A DevRel specialist is setting up a new project. They need to know who contributed the most in the last six months. They use 'List members and retrieve detailed profiles' to get an initial list, then run 'Fetch detailed engagement history' for the top contributors to assess their depth of involvement.
Following Up After a Sales Call
A sales rep finishes a call with a potential client. Instead of remembering to log it later, they immediately prompt: 'Add a note to member 98765 saying we agreed on the Q3 budget.' The agent runs 'Add notes to member profiles' and locks in that crucial context instantly.
Analyzing Campaign Impact
A Marketing team lead wants to know how many members are connected to a specific partner organization. They use 'List and retrieve associated organizations' combined with 'List members and retrieve detailed profiles' to cross-reference the data, proving which segments need more outreach.
The Tradeoffs
Tracking member activity manually
Having to open a CRM, then switch tabs to GitHub, then check a spreadsheet just to piece together one person's recent actions.
→ Just ask your agent to 'Fetch detailed engagement history' for that user. Orbit compiles all those disparate sources into one view.
Losing critical conversation context
Having a great call, forgetting the key detail, and then having to manually enter it into Salesforce later when you're distracted.
→ After the call, prompt: 'Add a note to member [ID] regarding our agreement on X.' The agent runs 'Add notes to member profiles,' ensuring the context is saved immediately.
Misidentifying user roles or groups
Looking at a simple list of names and guessing what their current involvement level is, leading to poor targeted marketing efforts.
→ Use 'List members and retrieve detailed profiles' to get the verified social links and reach metrics. This gives you objective data points instead of guesses.
When It Fits, When It Doesn't
You should use Orbit if your primary bottleneck is context switching across multiple systems (CRM, GitHub, internal notes) while managing community members. If you need a single place to view member profiles, track activity history, and log interactions, this server works for that. Don't use it if your goal is real-time transactional processing—for instance, if you need to process payments or check live inventory counts; those require different types of integrations entirely. Orbit focuses on relationship data, not operational transactions.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Orbit. 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 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Tracking a member’s history shouldn't feel like doing homework.
Today, understanding a community member's journey is painful. You start in your CRM to see their profile, then you have to copy their username and paste it into GitHub to see their latest PR. Then you open Twitter just to check if they posted anything relevant. It’s three different apps, four different tabs, and at least 15 minutes of context switching.
With Orbit MCP Server, all that disappears. You ask your agent to 'Fetch detailed engagement history' for the member. The agent runs through all the required tools—profiles, activity logs, social data—and gives you a single, compiled answer in your chat client. It’s instant synthesis.
Orbit MCP Server: Centralize community insights with notes.
The manual process of relationship management involves writing down key points on a sticky note, then finding the right spreadsheet to update it, and finally remembering which system holds that 'sticky note' data. This is how critical context gets lost between teams and time zones.
Orbit lets you run 'Add notes to member profiles.' You write the note in your natural conversation, and the agent saves it directly into the canonical record for that user. The history is clean, permanent, and visible across all integrated tools.
Common Questions About Orbit MCP
How do I track a member’s activity using Orbit? +
You use 'Fetch detailed engagement history.' Just tell your agent the user's name or ID. It compiles their full timeline—including posts, webinars, and PR submissions—into one readable summary.
Can I add notes to a member profile with Orbit? +
Yes, you run 'Add notes to member profiles.' You just tell the agent what the note is, and it saves that contextual information directly onto the user's record for your team.
Does Orbit only list members, or can it get their details too? +
It does both. Running 'List members and retrieve detailed profiles' not only gives you a roster but pulls up deep data like social links and reach metrics for each person.
What if I need to know what organizations are involved with the member? +
Run the 'List and retrieve associated organizations' tool. The agent searches the member record and returns details on any linked organizational bodies, helping you segment your community better.
How do I start using Orbit after subscribing to the server? +
You need two things: your unique API Key and your Workspace ID. Your AI client uses these credentials to authenticate all calls, so make sure both are entered correctly in the setup.
When I use Orbit to retrieve a member's profile, what specific data points does it include? +
Profiles go beyond basic contact info. You get detailed information including social media links and key reach metrics for that user. This gives your agent a full picture of their online presence.
Can I use Orbit to check activity history and add notes in one conversation? +
Yes, you can chain the calls. First, let your AI client get the list of members, then run a second tool call for each member's specific activity log or note addition.
What happens if I try to track an activity for a member who isn't in Orbit? +
The system returns an error message stating the member does not exist. Your agent will report this failure, letting you know exactly which ID needs to be corrected.
How do I find my Orbit API Key? +
In your Orbit account, go to Settings > Account Settings. Your API token is listed in the 'API Token' section.
Where is the Workspace ID located? +
The Workspace ID is the unique slug found in the URL of your Orbit dashboard (e.g., app.orbit.love/YOUR_WORKSPACE_ID).
Can I add custom activities for members? +
Yes! Use the create_orbit_activity tool. You can specify the activity_type and provide a link or unique key to record any community interaction.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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