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MIT · Plugins

Model Context Protocol Python SDK

Official Python SDK for building MCP servers and clients.

GitHub Open repository
23K stars 3.5K forks MIT license 2026-06-02 verified
bash
$# Model Context Protocol Python SDK
$pip install model-context-protocol-python-sdk
$npx model-context-protocol-python-sdk --help
Open sourceMCPAPI
Overview

What is Model Context Protocol Python SDK?

The Model Context Protocol Python SDK is an official MIT-licensed SDK for building MCP servers and clients in Python.

Plugin

Model Context Protocol Python SDK surfaces plugin as a core capability in its published project metadata and source links.

This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.

Mcp

Model Context Protocol Python SDK surfaces mcp as a core capability in its published project metadata and source links.

This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.

Connectors

Model Context Protocol Python SDK surfaces connectors as a core capability in its published project metadata and source links.

This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.
Use cases

What teams use it for

Developer workflow

Use it as a candidate for developer workflow when the project facts, license, and official links match your deployment requirements.

Ecosystem

Tags & capabilities

pluginopen sourcepluginmcpconnectorsprotocolopen sourcemcp compatible
Comparison

How it stacks up

When to choose Model Context Protocol Python SDK

Compare it with nearby plugins by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.

FAQ

Questions

What should I check before using Model Context Protocol Python SDK?

Connect one low-risk service or local server, then inspect auth scope, logs, schema clarity, and failure behavior.

Is Model Context Protocol Python SDK open source?

Model Context Protocol Python SDK is listed on OpenAgent.bot with MIT based on the current resource metadata. Re-check the official repository, docs, and license before production use.

Decision brief

Should you use Model Context Protocol Python SDK?

JSON
Best for
  • Python teams building MCP connectors
  • Agent builders exposing tools and data sources through MCP
  • Developers who want an official SDK rather than a wrapper
Not for
  • TypeScript-first projects
  • Teams that do not need MCP compatibility
Trust and freshness
  • Verified 2026-06-02
  • License: MIT
  • Repo: modelcontextprotocol/python-sdk
  • Open-source signal
Deployment

cloud

Permission surface

shell/files, memory, external services

Decision signals

MCP, API

Agent packet

Structured decision data for Model Context Protocol Python SDK

This packet is the compact machine-readable view agents should use before following source links or taking action.

Full JSON Agent packet Markdown brief
Capabilities

plugin, mcp, connectors, protocol

Constraints

open source, mcp compatible

Deployment

cloud

Permission surface

shell/files, memory, external services

Recommended workflows

Coding agent workflow, Connector or protocol layer

Overview

What Model Context Protocol Python SDK does

What it is

Model Context Protocol Python SDK is listed on OpenAgent.bot as a plugins resource for open AI builders.

Why it matters

MCP is a practical connector pattern for agents. The official Python SDK gives builders a source-backed way to expose tools, resources, and prompts to agent systems.

How to evaluate it

Start from the official source links, then validate the project against your deployment needs, license requirements, and maintenance expectations.

Facts

Known metadata and operating surface

These fields are separated from editorial interpretation so agents can reason over facts and missing checks.

Resource type plugin
Category Plugins
Maturity active
Difficulty Unknown
License MIT
Pricing open source
Verified 2026-06-02
Source confidence high
Risk level elevated
Fit matrix

Where Model Context Protocol Python SDK fits in an agent stack

strong

Coding agent workflow

Model Context Protocol Python SDK has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.

  • Run a small repository change and inspect the diff, tests, and rollback path.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong

Connector or protocol layer

Model Context Protocol Python SDK has multiple signals for connector or protocol layer, including matching tags, capabilities, category, or positioning.

  • Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial

Memory or RAG workflow

Model Context Protocol Python SDK has at least one signal for memory or rag workflow, but should be checked against a real task before adoption.

  • Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial

Reusable skill workflow

Model Context Protocol Python SDK has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.

  • Run one skill end to end and check whether it produces evidence or structured output.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak

Browser automation

Model Context Protocol Python SDK is not primarily positioned for browser automation in the current metadata.

  • Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak

Evaluation and observability

Model Context Protocol Python SDK is not primarily positioned for evaluation and observability in the current metadata.

  • Add one repeatable test case and confirm results can run again in review or CI.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs

What an agent should inspect

Likely inputs

  • Repositories, files, issues, terminal output, and test results
  • Tool schemas, API requests, service resources, and auth scopes
  • Prompts, messages, documents, images, or model inputs
  • Official setup instructions and a small real workflow

Likely outputs

  • Diffs, commits, explanations, test results, or review notes
  • A decision on whether this resource fits the target workflow
Evidence

Sources, claims, and missing checks

Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.

GitHub github

Repository source for code, license, issues, releases, and implementation details.

 Homepage homepage

Official or project-controlled source for this resource profile.
verified

Model Context Protocol Python SDK is listed as open source.

License metadata: MIT
verified

Model Context Protocol Python SDK has a recorded GitHub repository: modelcontextprotocol/python-sdk.

Resource facts and GitHub source link.
inferred

Model Context Protocol Python SDK supports these recorded deployment modes: cloud.

OpenAgent decision signal metadata.
inferred

Model Context Protocol Python SDK is tagged with plugin, mcp, connectors, protocol capabilities.

OpenAgent capability taxonomy.
Missing checks
  • Dedicated docs link is missing.
  • Repository freshness has not been recorded.
Next action

How to start evaluating Model Context Protocol Python SDK

Inspect repository

Check license, recent activity, issues, examples, and security-sensitive code paths.

Open source

Open Homepage

Start from the official source before adopting third-party instructions.

Open source
Compare

Alternatives and nearby resources

Use related resources to compare category fit, license, deployment model, and first-workflow behavior.

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Model Context Protocol server that exposes AgentQL data extraction capabilities to AI agents.

Plugins MongoDB MCP Server

Model Context Protocol server for connecting AI assistants to MongoDB databases and Atlas clusters.

Plugins Agent Browser Protocol

Deterministic browser automation protocol for Claude, Codex, OpenCode, and MCP-style agent workflows.

Plugins
FAQ

Common questions about Model Context Protocol Python SDK

What is Model Context Protocol Python SDK used for?

Model Context Protocol Python SDK is used as a plugin for plugins workflows. The most relevant recorded capabilities are plugin, mcp, connectors, protocol.

Is Model Context Protocol Python SDK open source?

Model Context Protocol Python SDK is listed as open source with MIT license metadata. Re-check the official repository or source link before production use.

Can agents use Model Context Protocol Python SDK directly?

Model Context Protocol Python SDK has recorded interfaces such as repo, docs. Agents should prefer the JSON or Markdown profile first, then follow official docs for real execution.

What should I check before production use?

Check source confidence (high), risk level (elevated), license, maintenance freshness, permission surface, required credentials, and whether the first workflow succeeds in a sandbox.