Connect
Optimize
Secure
Anthropic MCP Server
for AI Agents
Production-ready Anthropic MCP server with 20 extensible actions — plus built-in authentication, security, and optimized execution.
Anthropic MCP Server
Built by 
StackOne
StackOne 
Coverage
20 Agent Actions
Create, read, update, and delete across Anthropic — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Anthropic MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Anthropic tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Anthropic call.
Tools Discovery →What is the Anthropic MCP Server?
A Anthropic MCP server lets AI agents read and write Anthropic data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Anthropic MCP server ships with 20 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All Anthropic MCP Tools and Actions
Every action from Anthropic's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Models
- List Models
List available Claude models
- Get Model
Get details of a specific Claude model
Messages
- Create Message
Send a message to a Claude model and get a response
Count Tokens
- Count Tokens
Count tokens in a message without sending it
Organizations
- Get Organization
Retrieve information about the current organization
Invites
- Create Invite
Invite a user to join the organization
- List Invites
List all pending invites for the organization
- Get Invite
Retrieve details of a specific organization invite
- Delete Invite
Delete a pending organization invite
Users
- List Users
List all users in the organization
- Get User
Retrieve details of a specific organization user
- Update User
Update the role of a user in the organization
Workspaces
- Create Workspace
Create a new workspace in the organization
- List Workspaces
List all workspaces in the organization
- Get Workspace
Retrieve details of a specific workspace
- Update Workspace
Update the name or data residency configuration of a workspace
Archive Workspaces
- Archive Workspace
Archive a workspace
API Keys
- List API Keys
List all API keys in the organization
- Get API Key
Retrieve details of a specific API key
- Update API Key
Update the name or status of an API key
Set Up Your Anthropic MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Anthropic in under 10 lines of code.
MCP Clients
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}More AI & ML MCP Servers
Anthropic MCP Server Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
Anthropic MCP Server FAQ
Anthropic MCP server vs direct API integration — what's the difference?
A Anthropic MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Anthropic. A Anthropic MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Anthropic at runtime. StackOne provides both.
How does Anthropic authentication work for AI agents?
Anthropic authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Anthropic account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Anthropic MCP tools vulnerable to prompt injection?
Yes — Anthropic MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Anthropic agent and how do I avoid it?
Context bloat happens when Anthropic tool schemas and API responses eat your Anthropic agent's memory, preventing it from reasoning effectively. A single Anthropic query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Anthropic agent can access?
Yes — you can limit which actions your Anthropic agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Anthropic MCP server?
Yes — you can create custom agent actions for your Anthropic MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Anthropic's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Anthropic MCP server?
Skip a Anthropic MCP server if your integration is purely software-to-software — direct Anthropic API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Anthropic actions at runtime.
What AI frameworks and AI clients does the StackOne Anthropic MCP server support?
The StackOne Anthropic MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.