Skip to main content
Glama

MCP Search Server

by Nghiauet
README.md1.55 kB
# MCP aggregator example This example shows connecting to multiple MCP servers via the MCPAggregator interface. An MCP aggregator will combine multiple MCP servers into a single interface allowing users to bypass limitations around the number of MCP servers in use. ```plaintext ┌────────────┐ ┌──────────────┐ │ Aggregator │──┬──▶│ Fetch │ └────────────┘ │ │ MCP Server │ │ └──────────────┘ | ┌──────────────┐ └──▶│ Filesystem │ │ MCP Server │ └──────────────┘ ``` ## `1` App set up First, clone the repo and navigate to the basic‑agent example: ```bash git clone https://github.com/lastmile-ai/mcp-agent.git cd mcp-agent/examples/basic/mcp_server_aggregator ``` Install `uv` (if you don’t have it): ```bash pip install uv ``` Sync `mcp-agent` project dependencies: ```bash uv sync ``` Install requirements specific to this example: ```bash uv pip install -r requirements.txt ``` ## `2` Set up secrets and environment variables Copy and configure your env variables: ```bash cp mcp_agent.secrets.yaml.example mcp_agent.secrets.yaml ``` Then open `mcp_agent.secrets.yaml` and add your api key for your preferred LLM. ## `3` Run locally Run your MCP Agent app: ```bash uv run main.py ```

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Nghiauet/mcp-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server