Compatible with every major AI agent and IDE
What is the ProjectManager MCP Server?
Connect your ProjectManager.com account to any AI agent and simplify your project orchestration, task management, and resource allocation through natural conversation.
What you can do
- Project Management — List all projects, retrieve detailed status metadata, and monitor project health and progress
- Task Control — Query tasks for any project, retrieve detailed descriptions, and create new tasks programmatically
- Resource Intelligence — List team resources, including members and equipment, to choose the right context for each task
- Time Tracking — Access a history of recorded timesheets to stay on top of your project billing and capacity
- Direct Control — Manage your entire project portfolio directly from your agent without manual dashboard navigation
How it works
- Subscribe to this server
- Enter your ProjectManager API Key from your account settings
- Start managing your projects from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (11)
Create a new project
Add a new task
Get details for a specific project
Get details for a specific task
List all dashboards
List ProjectManager projects
List all project tags
Optionally filter by project ID. List tasks
List team resources
List recorded timesheets
Update an existing task
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with ProjectManager through native MCP adapters. Connect 11 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 ProjectManager 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 ProjectManager queries for multi-turn workflows
ProjectManager in LangChain
ProjectManager and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ProjectManager 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 ProjectManager in LangChain
The ProjectManager 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 11 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
ProjectManager for LangChain
Every tool call from LangChain to the ProjectManager MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all my active projects using my AI agent?
Yes! Use the list_projects tool to retrieve a comprehensive list of all projects registered in your account.
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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