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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"danmas0n-multi-agent-with-mcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/directory"
]
}
}
}You deploy an MCP gateway that hosts multiple MCP servers and exposes their tools through a simple HTTP API. This lets you access repository operations, memory knowledge tooling, and other capabilities in a unified way, enabling you to build, explore, and compare multiple implementation approaches without duplicating effort.
How to use
Connect your MCP client to the gateway URL provided by the gateway server. Once connected, the client will automatically discover available tools from the configured MCP servers and present them for use in conversations. You can then invoke file system operations, memory graph actions, and any other capabilities exposed by the configured MCP servers to implement features and iterate on solutions.
How to install
Install prerequisites and the server software, then start the gateway and configure the agent to connect to it.
# Install the agent package
pip install -e .
# Install the gateway package
cd gateway
pip install -e .
cd ..
Additional setup notes
The gateway exposes multiple MCP servers. Two example servers are defined: a filesystem server for file operations and a memory server for knowledge graph interactions. You can add more servers by updating the gateway configuration and restarting the gateway.
Available tools
read_file
Read file contents from the filesystem via the MCP filesystem server.
write_file
Create or update files on the filesystem through the MCP gateway.
list_directory
List contents of a directory to inspect project structure.
search_files
Find files matching patterns to locate relevant code or data.
create_entities
Add entities to a knowledge graph managed by the MCP memory server.
create_relations
Link entities within the knowledge graph to reflect relationships.
search_nodes
Query the knowledge graph to retrieve related nodes and metadata.