1. **User Input** → Frontend → FastAPI 2. **Processing** → Vector DB Search → Context Retrieval 3. **AI Processing** → Gemini API → Response
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"aura-companion": {
"command": "uv",
"args": [
"--directory",
"/home/ty/Repositories/ai_workspace/emotion_ai/aura_backend",
"run",
"aura_server.py"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.