Flock MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install Flock and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"flock": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Flock MCP Server
Connect your Flock bot to any AI agent and take full control of your team communication, private groups, and organizational roster through natural conversation.
Cursor's Agent mode turns Flock into an in-editor superpower. Ask Cursor to generate code using live data from Flock and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Rich Messaging Orchestration — Provision massively fast payloads strictly into Flock chats, utilizing `
to render rich enterprise attachments and formatted layouts natively - Public Channel Discovery — Enumerate explicitly attached public channels and execute bulk iterations to capture global namespaces and routing configurations synchronously
- Private Group Management — Identify bounded private groups and retrieve precise physical definitions detailing exactly how hidden groups operate within your enterprise
- Organizational Roster Auditing — Discovers global identity blocks mapping direct @` aliases to absolute string UUIDs to solve accurate routing for the entire company
- Identity Metadata Retrieval — Perform structural extraction of profile metadata linked to Flock users, resolving time zones and LDAP/SSO properties securely
- Chat Log Ingestion — Pull chronological asynchronous logs from any room, extracting raw JSON objects mapping historical strings natively from chat fetchers
- Membership Oversight — Audit IAM boundaries and identify explicit active UUIDs directly attached to channels or groups to verify intended audiences flawlessly
The Flock MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Flock to Cursor via MCP
Follow these steps to integrate the Flock MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Flock
Open Agent mode in chat and ask: "Using Flock, help me...". 10 tools available
Why Use Cursor with the Flock MCP Server
Cursor AI Code Editor provides unique advantages when paired with Flock through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Flock + Cursor Use Cases
Practical scenarios where Cursor combined with the Flock MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Flock MCP Tools for Cursor (10)
These 10 tools become available when you connect Flock to Cursor via MCP:
channels_get_info
Retrieve explicit Channel descriptions and banner logic mappings
channels_list_members
Identify explicit Active UUIDs directly attached evaluating Channel ingress
channels_list_public
Enumerate explicitly attached `public` channels active within Flock
chat_fetch_messages
Extracts raw JSON objects mapping historical strings natively returned by `chat.fetchMessages`. Read recent structural Chat payloads targeting a Flock Room
chat_send_message
Detects if formatted `<flockml>` definitions are passed and converts the payload dynamically bypassing standard Markdown limits rendering rich enterprise attachments. Provision a massively fast payload strictly into an established Flock Chat
groups_get_info
Inspect deep internal credentials identifying a precise Private Group
groups_list_members
Crucial for verifying sensitive message targets. Audit IAM boundaries explicitly granting read permissions to a Group
groups_list_private
Returns arrays necessary to retrieve correct routing UUIDs. Identify bounded Private Groups tracking strict IAM boundaries
roster_list_directory
Returns explicit array definitions mapping direct `@` aliases to absolute string UUIDs solving accurate routing natively. Identify precise active Human constraints navigating the entire Flock company
users_get_metadata
Perform structural extraction of metadata linked to a Flock Identity
Example Prompts for Flock in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Flock immediately.
"Send a message to group 'g:123': 'Project update is live!'"
"List all public channels in my Flock workspace"
"Get the metadata for user '@john_doe'"
Troubleshooting Flock MCP Server with Cursor
Common issues when connecting Flock to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Flock + Cursor FAQ
Common questions about integrating Flock MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Flock with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Flock to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.