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MCP Agent

MCP Agent is an Apache-2.0 Python framework that connects language models to Model Context Protocol servers and provides composable patterns for building, orchestrating and exposing AI agents.

Independent OpenViST project profile, based on linked sources.

MCP Agent — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an agent application needs MCP protocol support and composable workflow patterns in Python, especially when the design may extend from a simple task agent to a multi-step or durable workflow.

Who it is for

  • Python developers building MCP-connected AI agents.
  • Teams composing multi-step agent workflows around MCP tools and services.
  • Developers creating MCP servers that can expose agent functionality.
  • Builders evaluating durable agent workflows with Temporal.

Documented uses

  • Connect an LLM to MCP-compatible tools and services.
  • Compose agent stages into workflows such as routers, orchestrators and evaluator-optimizers.
  • Manage MCP server connection lifecycles within an agent application.
  • Expose an agent as an MCP server.
  • Use Temporal as a documented runtime backend for durable workflows.
Before you choose

Requirements & limits

The project is a public GitHub repository with an Apache-2.0 license. The repository documents CLI, cloud, self-hosted and server usage, with cloud deployment described as beta.

  • Python is the documented primary language.
  • MCP is the central integration model, with support listed for tools, resources, prompts, notifications, OAuth, sampling, elicitation and roots.
  • The minimal example uses an OpenAI augmented LLM and requires an LLM API key in mcp_agent.secrets.yaml or the environment.
  • Temporal is available as the documented backend for durable execution.
  • The repository describes cloud deployment as beta and says deployed applications are exposed as MCP servers.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
MCP AgentConnect an LLM to MCP-compatible tools and services.CLI, Cloud, Self-hosted, ServerThe project is a public GitHub repository with an Apache-2.0 license. The repository documents CLI, cloud, self-hosted and server usage, with cloud deployment described as beta.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
2 October 2026
Original website title
lastmile-ai/mcp-agent · Official homepage title · retained in its source language
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