sandbase-harness
★ 635
vs
fastapi_mcp
★ 12.0k
sandbase-harness vs fastapi_mcp
sandbase-harness: SandBase Harness is a local-first runtime designed for AI agents, providing essential infrastructure like persistent sessions, sandboxed execution environments, and comprehensive audit trails. It enables secure and observable agent operations directly on your machine or within your own infrastructure, supporting various models and tool integrations.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
01
TL;DR
sandbase-harnessDev Tooling · ★ 635
Running auditable coding agents with controlled and sandboxed code execution.
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
When to skip:
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
02
Side-by-Side Comparison
Field
sandbase-harnessfastapi_mcpCategory
Dev Tooling
Dev Tooling
Stars
★ 635
★ 12.0k
License
Apache-2.0
MIT
Install Command
git clone --branch v0.3.8 --depth 1 https://github.com/sandbaseai/sandbase-harness.git && cd sandbase-harness && npm ci && npm run build && mkdir ../my-agents && cd ../my-agents && node ../sandbase-harness/dist/index.js init && node ../sandbase-harness/dist/index.js start
uv add fastapi-mcp
Updated
5d ago
11mo ago
Open Source
Yes
Yes
Tags
AI Agent Runtime, Sandboxed Execution, Session Management
FastAPI, MCP, Python
03
Features
sandbase-harness01Local, Docker, Kubernetes, and self-hosted worker sandboxes for safe code execution.
02Persistent sessions, resumable event streams, audit logs, and replay capabilities for inspecting long-running agents.
03MCP toolsets, credential vaults, and permission policies for controlling tool access.
04Compatibility with OpenAI, Anthropic, MiniMax, DeepSeek V4, and other OpenAI-compatible model providers.
05Local-first storage with SQLite for metadata and file storage, without a required hosted control plane.
fastapi_mcp01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04
Use Cases
sandbase-harness↳Running auditable coding agents with controlled and sandboxed code execution.
↳Using DeepSeek Harness as an interactive front end for agents, with rich session management.
↳Managing and securing third-party plugins with sandbox and filesystem protection.
↳Building an auditable research agent, combining evidence ledgers with sandboxed execution, credentials, audit, and replay.
↳Self-hosting an AI agent runtime on your own infrastructure for full control and data privacy.
fastapi_mcp↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05
Best For
sandbase-harnessTrending
fastapi_mcpMost PopularEssential
FAQ
FAQ
What is the difference between sandbase-harness and fastapi_mcp?
Both sandbase-harness and fastapi_mcp are in the Dev Tooling category. sandbase-harness has 635 stars, while fastapi_mcp has 12.0k stars.
Which is better, sandbase-harness or fastapi_mcp?
The best choice depends on your use case. Choose sandbase-harness if Running auditable coding agents with controlled and sandboxed code execution., and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is sandbase-harness free or open source?
Yes, sandbase-harness is open source on GitHub (Apache-2.0).
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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