mcpadapt
Adapt MCP servers to many agentic framework.
Decision gist · record as of 2026-08-14
Yes, if you are building agents with Smolagents, Langchain, CrewAI, or Google GenAI and want to leverage the MCP ecosystem. The package is low-friction to install and has no known vulnerabilities. However, note that maintenance is aging (last update October 2025, no commits since); evaluate whether the supported frameworks and adapters match your stack before committing. The security warning about SSE servers in the documentation should be taken seriously.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later; MCP server command must be executable and available in your environment.
- Low install friction with a pure-Python wheel and four runtime dependencies.
- Maintenance status is aging—the project was first released in January 2025 and last updated in October 2025, with no commits since then, though the repository remains active with 423 stars.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.
last release 2025-10-24 (294 days) · last repo commit 2025-10-24 · 423 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 217,821 downloads/mo, #9,350 on PyPI
Alternatives
Verify before relying
from mcp import StdioServerParameters
from mcpadapt.core import MCPAdapt
from mcpadapt.smolagents_adapter import SmolAgentsAdapter
with MCPAdapt(
StdioServerParameters(command="uv", args=["run", "src/echo.py"]),
SmolAgentsAdapter(),
) as tools:
# use tools in your agentic workflow- Stability and maturity of the adapter implementations for each supported framework.
- Performance characteristics when connecting to multiple MCP servers simultaneously.
- Security audit status of SSE (Server-Sent Events) remote server connections.
What it is and what it does
MCPAdapt is a bridge layer that converts MCP servers—a protocol introduced by Anthropic for exposing tools and resources—into native tool objects for popular agentic frameworks. It lets you take any of the 650+ MCP servers available in the ecosystem and use them directly within Smolagents, Langchain, CrewAI, or Google GenAI without writing framework-specific glue code.
The package handles both local MCP servers (via stdio) and remote ones (via SSE), and supports both synchronous and asynchronous execution where the underlying framework permits. It depends on jsonref, mcp, pydantic, and python-dotenv, and is designed to be extended with new framework adapters through a simple plugin interface.
Use it for
- Integrate a local MCP server into a Smolagents workflow to give an AI agent access to custom tools without rewriting them.
- Connect multiple MCP servers to a Langchain agent to provide diverse data sources and capabilities in a single tool collection.
- Adapt a remote MCP server (via SSE) to CrewAI for use in multi-agent workflows.
- Expose third-party MCP tools from smithery.ai or glama.ai to your agentic framework without manual tool definition.
- Build a custom adapter for an unsupported agentic framework by implementing the ToolAdapter interface.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building agents with Smolagents, Langchain, CrewAI, or Google GenAI and want to leverage the MCP ecosystem.
The package is low-friction to install and has no known vulnerabilities. However, note that maintenance is aging (last update October 2025, no commits since); evaluate whether the supported frameworks and adapters match your stack before committing. The security warning about SSE servers in the documentation should be taken seriously.
Install
mcpadapt on PyPI
Before you install
Low install friction with a pure-Python wheel and four runtime dependencies. Maintenance status is aging—the project was first released in January 2025 and last updated in October 2025, with no commits since then, though the repository remains active with 423 stars.
Requires Python 3.12 or later; MCP server command must be executable and available in your environment.
License in practice
MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.
Quickstart
from mcp import StdioServerParameters
from mcpadapt.core import MCPAdapt
from mcpadapt.smolagents_adapter import SmolAgentsAdapter
with MCPAdapt(
StdioServerParameters(command="uv", args=["run", "src/echo.py"]),
SmolAgentsAdapter(),
) as tools:
# use tools in your agentic workflowVerify before relying
- Stability and maturity of the adapter implementations for each supported framework.
- Performance characteristics when connecting to multiple MCP servers simultaneously.
- Security audit status of SSE (Server-Sent Events) remote server connections.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesjsonrefmcppydanticpython-dotenv |
| Maintenance | Aging 294 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 217,821 / month, #9,350 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.12Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: mcpadapt-0.1.20-py3-none-any.whl
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See also langchain-mcp-adapters · smolagents · crewai-tools · traia-iatp · llama-index-tools-mcp · fastmcp-extensions · mcp-use · mcpo · databricks-mcp · fast-agent-mcp