
Speakeasy Platform MCP
com.speakeasy.ai由 ai.speakeasy.com 发布官方发布者v1.0.0更新于 Oct 26, 2026
Secure and manage MCP servers through the Speakeasy AI Control Plane from your agent.
概览
Speakeasy AI 控制平面的远程端点,让助手在集中策略下管理并观测 MCP 服务器、技能与助手。
- 可以做什么
- 通过 Speakeasy AI 控制平面管理 MCP 服务器、技能、插件与助手,并按角色控制权限。
- 查看并导出 AI 使用遥测,包括 token 与成本统计、预算和会话深入分析。
- 查阅已记录的工具调用、权限变更与访问事件。
- 执行并检查用于拦截、脱敏或记录敏感数据及提示注入的策略。
- 清单未列出具体工具,实际可执行的操作取决于托管平台。
- 适用场景
- 适合已在使用 Speakeasy 控制平面的组织,让助手管理或审计 MCP 访问、权限与 AI 支出,而不是调用某个具体的 SaaS 工具。没有 Speakeasy 账号的个人开发者从中获益有限。
- 运行要求
- 需要访问 ai.speakeasy.com 的远程 streamable HTTP 端点,并须通过 OAuth 认证;需要托管平台上的 Speakeasy 账号与组织。未声明任何环境变量或请求头。
安装
在 SourceWeft 中
- 打开 控制台中的 Speakeasy Platform MCP,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.speakeasy.ai%2Fplatform/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"speakeasy-platform": {
"type": "http",
"url": "https://ai.speakeasy.com/platform-mcp"
}
}
}README
Speakeasy AI Control Plane
Securely scale AI usage across your organization. Built for humans and agents.
Learn more »
Documentation · Running locally · Tech Stack · Contributing · Login · Roadmap
Introduction
This repository is the open source stack behind Speakeasy's AI control plane. Secure and centrally manage MCPs, Skills, and Assistants your whole company to access, with fine-grained permissions, threat detection, and full observability of token use and costs. Every tool call, permission change, and access event logged and searchable. SOC 2 Type II and ISO 27001 certified.
To get started on the hosted platform you can Sign up, or check out the Quickstart guide.
Supports popular AI providers
[Claude] [Claude Code] [ChatGPT] [Codex] [Gemini] [Cursor] [GitHub Copilot]
Observe
Track AI usage across teams and measure impact with either tokens or cost. Deep dive expensive sessions, create budgets and measure tool effectiveness. Built on a foundation of Opentelemetry. Exportable and interactive via platform MCP and a built in assistant.
Secure
Every prompt, response, and agent action is inspected and enforced in real time. Sensitive data is blocked, redacted, or logged before it leaves your environment. Create and enforce flexible policies to prevent prompt injection, log shadow use and detect PII secrets and other sensitive data types.
Connect
A single control layer for connecting your agents to MCPs for your SaaS vendors, APIs, and internal systems, with policy enforcement and granular access control built in. Private networking and tunneling deployed on demand.
Distribute
Centralise distribution of MCPs, Skills, Plugins and Assistants to your team based on enterprise roles. Team, server, and tool level permissions enforced through RBAC and Oauth2.1. Synced to your enterprise IDP (Okta, Azure AD, Google Workspace, etc.).
Support
- Chat with us: Join our slack for support and discussions or email us at [email protected].
- Contribute feature requests or report issues on our roadmap.
- Documentation for the platform is available here.
Running locally
Run ./zero until it succeeds. This script is what you use to run the dashboard and services for local development. It installs dependencies, runs pending database migrations, and starts everything up.
The main dependencies are Mise and Docker. The ./zero script will guide you to install these if they are not found.
Seed your local organization with a realistic working environment — a deployed API, agent sessions, telemetry, risk findings, teammates, and an API key:
It talks to the databases directly, so it can run before the services are up, and re-running it resets the seeded data.
To work on several branches at once, each git worktree can run its own full stack on its own ports:
See CONTRIBUTING.md for more detail on local development, auth, worktrees, and the CLI.
Contributing
Contributions are welcome! Please open an issue or discussion for questions or suggestions before starting significant work.
See CONTRIBUTING.md for development setup and detailed contribution guidelines.
Tech Stack
- TypeScript — dashboard language.
- Golang — backend language.
- Goa — design-first API framework.
- Temporal — workflow engine.
- Polar — usage-based billing.
- OpenRouter — LLM gateway.
- Speakeasy — generated SDKs. Spec hosted here.
Contributors
[Speakeasy contributors]来源:README.md,提交 cc04b93
工具
0版本历史
1- v1.0.0最新Oct 22, 2026
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