
Speakeasy Platform MCP
com.speakeasy.ai由 ai.speakeasy.com 發布官方發布者v1.0.0更新於 Oct 26, 2026
Secure and manage MCP servers through the Speakeasy AI Control Plane from your agent.
概覽
Speakeasy AI 控制平面的遠端端點,讓助理在集中政策下管理並觀測 MCP 伺服器、技能與助理。
- 可以做什麼
- 透過 Speakeasy AI 控制平面管理 MCP 伺服器、技能、外掛與助理,並依角色控管權限。
- 檢視並匯出 AI 使用遙測,包括 token 與成本統計、預算和工作階段深入分析。
- 查閱已記錄的工具呼叫、權限變更與存取事件。
- 套用並檢查用於攔截、去識別化或記錄敏感資料及提示注入的政策。
- 清單未列出具體工具,實際可執行的操作取決於託管平台。
- 適用情境
- 適合已在使用 Speakeasy 控制平面的組織,讓助理管理或稽核 MCP 存取、權限與 AI 支出,而非呼叫某個特定 SaaS 工具。沒有 Speakeasy 帳號的個人開發者從中獲益有限。
- 執行需求
- 需要存取 ai.speakeasy.com 的遠端 streamable HTTP 端點,並須通過 OAuth 驗證;需要託管平台上的 Speakeasy 帳號與組織。未宣告任何環境變數或請求標頭。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Speakeasy Platform MCP,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.speakeasy.ai%2Fplatform/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"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]來源:README.md,提交 cc04b93
工具
0版本歷史
1- v1.0.0最新Oct 22, 2026
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