MCP Checkpoint secures and monitors Model Context Protocol operations. It provides static and dynamic scanning tools to detect hidden risks in agent-to-tool communications. The server connects to MCP-compatible systems and APIs, offering developers a way to ensure secure and reliable AI agent interactions.
MCP Checkpoint secures and monitors Model Context Protocol operations. It provides static and dynamic scanning tools to detect hidden risks in agent-to-tool communications. The server connects to MCP-compatible systems and APIs, offering developers a way to ensure secure and reliable AI agent interactions.
pip install mcp-checkpointAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"aira-security-mcp-checkpoint-github": {
"command": "uvx",
"args": [
"pip install mcp-checkpoint"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp checkpoint?"
No configuration required. This server works out of the box.
"What resources are available in mcp checkpoint?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp checkpoint"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp checkpoint with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
See what tools in your stack can connect to AI.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.