feast-mcp

feast-mcp

MCP server that proxies to a Feast feature server, exposing tools for online feature retrieval, vector search, push, and materialization while forwarding bearer tokens for authentication.

Category
Visit Server

README

Feast MCP Server

Standalone MCP server for Feast, built on the MCP SDK.

Currently operates as a proxy — it forwards every tool call to an upstream Feast feature server over HTTP, passing through the caller's Authorization: Bearer <token> header so that the feature server handles OIDC / Kubernetes RBAC as usual.

Quick start

cd MCP
pip install -e .

# stdio (default) — point at your running Feast feature server
feast-mcp --feast-url http://localhost:6566

# SSE transport on a custom port
feast-mcp --feast-url http://localhost:6566 --transport sse --port 8000

Tools exposed

Tool Upstream endpoint Description
get_online_features POST /get-online-features Retrieve online feature values
search POST /search Vector similarity search
list_vector_stores GET /v1/vector_stores List vector stores
get_vector_store GET /v1/vector_stores/{id} Get a vector store
vector_store_search POST /v1/vector_stores/{id}/search OpenAI-compatible vector search
push POST /push Push features to the store
materialize POST /materialize Materialize features
materialize_incremental POST /materialize-incremental Incremental materialization
health GET /health Health check

Authorization

The MCP server itself does not validate tokens. It forwards the bearer token from the MCP request context to the upstream feature server, which performs OIDC or Kubernetes token validation and RBAC enforcement.

IDE / client configuration

{
  "mcpServers": {
    "feast": {
      "command": "feast-mcp",
      "args": ["--feast-url", "http://localhost:6566"]
    }
  }
}

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured