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Give your AI agents a verified identity, scoped permissions, audit trails, and revocable access when calling MCP tools. This repository contains integration met
Give your AI agents a verified identity, scoped permissions, audit trails, and revocable access when calling MCP tools. This repository contains integration metadata, configuration files, and client examples. The gateway itself runs at [app.civic.com](https://app.civic.com). Access 85 tools, 1000+ guardrails and configure 4000+ parameters via a single connector. ## What it does Without an identity layer, any AI agent can call any MCP tool with no record of who authorized it, what it accessed, or how to revoke its access. With Civic you get: - **Agent identity** — agents authenticate with a Civic-issued bearer token into 80+ tools - **Scoped permissions** — grant agents access to specific tools only - **Audit trail** — every tool call is logged with agent identity and timestamp - **Revocable access** — revoke a token and the agent loses access immediately - **Guardrails** — rate limits, approval workflows, and deny lists via the configurator
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"civic-mcp-gateway": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"run",
"civic/civic-mcp-gateway"
]
}
}
}Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also