Bring Community Management
to LlamaIndex
Create your Vinkius account to connect Orbit to LlamaIndex and start using all 0 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Orbit MCP Server?
Connect your Orbit workspace to any AI agent and take full control of your community management and engagement workflows through natural conversation.
What you can do
- Member Oversight — List all community members and retrieve detailed profiles, including social links and reach metrics.
- Activity Tracking — Monitor the timeline of activities across your workspace and create new activities for members.
- Organization Discovery — List and retrieve details for organizations associated with your community members.
- Relationship Management — List and create notes on member profiles to maintain context on your interactions.
- Engagement Insights — Fetch a detailed history of activities for any specific member to understand their journey.
How it works
- Subscribe to this server
- Enter your Orbit API Key and Workspace ID
- Start managing your community directly from Claude, Cursor, or any MCP client
Who is this for?
- Community Managers — quickly check a member's activity history or add a note after a meaningful interaction.
- Developer Relations (DevRel) — track contributions and engagement across GitHub, Twitter, and other platforms.
- Marketing Teams — monitor the growth and activity levels of specific community segments through simple queries.
Why LlamaIndex?
LlamaIndex agents combine Orbit tool responses with indexed documents for comprehensive, grounded answers. Connect 0 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Orbit tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Orbit tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Orbit, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Orbit tools were called, what data was returned, and how it influenced the final answer
Orbit in LlamaIndex
Why run Orbit with Vinkius?
The Orbit connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 0 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Orbit using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Orbit and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Orbit to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Orbit for LlamaIndex
Every request between LlamaIndex and Orbit is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Orbit tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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