Sponsio

v1.0.0Securitystable

Deterministic safety solutions for probabilistic AI agents

agent-guardrailsagent-harnessagent-runtimeagent-safetyagent-security
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What is Sponsio?

Sponsio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to deterministic safety solutions for probabilistic ai agents

Deterministic safety solutions for probabilistic AI agents

This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Deterministic safety solutions for probabilistic AI agents

Use Cases

Provide deterministic safety for AI agents.
Implement agent guardrails.
Ensure safe AI execution.
SponsioLabs

Maintainer

LicenseApache-2.0
Languagepython
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx sponsio

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Sponsio

Sponsio is a deterministic safety enforcement layer for probabilistic AI agents that works across popular agent frameworks including LangChain, Claude Agents, OpenAI Agents, CrewAI, Google ADK, Vercel AI, and MCP. It intercepts agent tool calls before execution, evaluates them against declared capability contracts (shell, filesystem, database, and custom), and blocks destructive or unauthorized actions in under 13 microseconds. Teams use Sponsio to add guardrails to AI agent pipelines so that agents cannot drop production databases, delete files outside their workspace, or execute arbitrary shell commands beyond what their contracts permit.

Prerequisites

  • Python 3.8+ (for the Python SDK) or Node.js (for the TypeScript/npm SDK)
  • pip or npm package manager
  • An existing AI agent setup using a supported framework (LangChain, OpenAI Agents, Claude, CrewAI, MCP, etc.)
  • An MCP-compatible AI client if using the MCP integration mode
1

Install the Sponsio SDK

Install the Sponsio package for your language. Use pip for Python-based agent frameworks, or npm for TypeScript/Node.js environments.

# Python
pip install sponsio

# TypeScript/Node.js
npm install -D @sponsio/sdk
2

Initialize a Sponsio configuration in your project

Run the interactive setup wizard in your project directory. It guides you through selecting which capability contracts to include and what your agent's workspace boundaries should be.

sponsio init .
3

Review and customize the sponsio.yaml contract file

The init command generates a sponsio.yaml file. Open it to adjust the agent workspace path, select built-in contracts (shell, filesystem, etc.), and add any custom contracts specific to your use case.

# sponsio.yaml
agents:
  my_agent:
    workspace: "/srv/my-bot"
    include:
      - sponsio:core/universal
      - sponsio:capability/shell
      - sponsio:capability/filesystem
4

Validate your contracts with plain English rules

Use the validate command to draft and test contract rules in plain English before deploying them. Sponsio converts the description into a formal contract and shows what it would block.

sponsio validate "the agent should never drop or truncate database tables"
5

Integrate Sponsio into your agent and refresh configs

Add Sponsio to your agent's tool-calling pipeline using the SDK for your framework. After making changes to sponsio.yaml, run refresh to update the active contracts without restarting.

sponsio refresh

Sponsio Examples

Client configuration

Claude Desktop MCP configuration for Sponsio running as a safety layer. The MCP integration wraps agent tool calls through Sponsio's enforcement engine.

{
  "mcpServers": {
    "sponsio": {
      "command": "npx",
      "args": ["sponsio"],
      "env": {}
    }
  }
}

Prompts to try

After integrating Sponsio, these scenarios demonstrate the safety enforcement in action.

- "Show me which Sponsio contracts are currently active for my agent"
- "What actions would be blocked if my agent tried to delete all files in /srv?"
- "Validate a new contract: the agent should only read files, never write outside /workspace"
- "List all tool calls that Sponsio blocked in the last session"

Troubleshooting Sponsio

A legitimate agent action is being blocked by Sponsio

Run 'sponsio validate' with a description of the action to see which contract is matching it. Adjust the relevant contract in sponsio.yaml to narrow the blocking rule, then run 'sponsio refresh' to apply the change.

Sponsio is not intercepting tool calls in my agent framework

Check the Sponsio SDK documentation for your specific framework (LangChain, CrewAI, OpenAI Agents, etc.) to confirm the correct integration point. Sponsio must be added as a middleware or wrapper around the tool execution layer, not just imported as a library.

Frequently Asked Questions about Sponsio

What is Sponsio?

Sponsio is a Model Context Protocol (MCP) server that deterministic safety solutions for probabilistic ai agents It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Sponsio?

Follow the installation instructions on the Sponsio GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Sponsio?

Sponsio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Sponsio free to use?

Yes, Sponsio is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "sponsio": { "command": "npx", "args": ["-y", "sponsio"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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