Official · MODEL CONTEXT PROTOCOL
Ad Veritas mcp server trueRAG
Model Context Protocol (MCP) server to access an instance of TrueRAG
WHAT IT CONNECTS
What Ad Veritas mcp server trueRAG gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
This repository contains a Model Context Protocol (MCP) server implementation for a GraphQL API that provides access to policies.
The server is built using the python SDK for MCP and uses the GQL library to interact with the GraphQL API.
git clone https://github.com/Ad-Veritas/mcp-server-trueRAG.git
cd mcp-server-trueRAGMake sure you have uv installed
uv --versionIf not, you can install it using:
# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh
# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"The server is configured to work against a GraphQL API for one of the TrueRag systems. Once you created the TrueRAG environment, copy the API key and endpoint from the environment variables.
Create a .env file in the root directory of the repository and add the following lines:
GRAPHQL_API_KEY = "{your_api_key}"
GRAPHQL_ENDPOINT = "{your_graphql_endpoint}"Add the following lines to the Claude configuration file (~/Library/Application Support/Claude/claude_desktop_config.json):
"shipping-policies": {
"command": "uv",
"args": [
"--directory",
"{path_to_mcp_server}/mcp-server-trueRAG",
"run",
"fastmcp",
"run",
"server.py"
]
}COMMUNITY