Compatible with every major AI agent and IDE
What is the Infinity MCP Server?
Connect your Infinity account to any AI agent and manage projects through natural conversation.
What you can do
- Workspace Management — List all workspaces in your organization
- Board Navigation — Browse boards within workspaces and inspect their structure
- Folder Organization — Navigate folder hierarchies within boards
- Attribute Schema — View all custom attributes and fields configured on boards
- Item Management — List, create, update, and delete items (tasks/records) within boards
- Data Access — Read item field values and metadata
How it works
- Subscribe to this server
- Enter your Infinity Access Token
- Start managing projects from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers — create tasks, update statuses, and organize boards through AI
- Teams — manage work items without switching to the dashboard
- Operations — automate task creation and tracking workflows
Built-in capabilities (12)
Verify Infinity API connectivity
Values must map to attribute IDs. Add a new item to a board
Get authenticated user info
List board attributes (fields)
List folders in a board
Supports filtering by folder. List all tasks/items in a board
List active webhooks for a board
List comments on an item
List boards in a workspace
List all workspaces
Delete an item from a board
Modify an existing item
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Infinity through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Infinity MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Infinity queries for multi-turn workflows
Infinity in LangChain
Infinity and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Infinity to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Infinity in LangChain
The Infinity 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Infinity for LangChain
Every tool call from LangChain to the Infinity MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create and manage tasks through the AI agent?
Yes. Use create_board_item to add new items to any board, list_board_items to browse existing items, update_board_item to modify fields and status, and delete_board_item to remove items. Use list_board_attributes to see available fields.
Can I navigate workspaces, boards, and folders?
Yes. Use list_workspaces → list_workspace_boards → list_board_folders to navigate the hierarchy. Each level provides IDs needed for the next level and for item management.
Can I view custom fields and attributes on boards?
Yes. list_board_attributes retrieves all custom attributes (fields) configured on a board, including field type, options, and default values. This helps understand the data structure before creating or updating items.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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