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executor

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  • License MIT

Local AI executor with a CLI, local API server, and web UI.

Package Exports

    This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (executor) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

    Readme

    executor

    https://github.com/user-attachments/assets/11225f83-e848-42ba-99b2-a993bcc88dad

    The integration layer for AI agents. One catalog for every tool, shared across every agent you use.

    Ask DeepWiki

    Quick start

    npm install -g executor
    executor web

    This starts a local runtime with a web UI at http://127.0.0.1:4788. From there, add your first source and start using tools.

    Use as an MCP server

    Point any MCP-compatible agent (Cursor, Claude Code, OpenCode, etc.) at Executor to share your tool catalog, auth, and policies across all of them.

    executor mcp

    Example mcp.json for Claude Code / Cursor:

    {
      "mcpServers": {
        "executor": {
          "command": "executor",
          "args": ["mcp"]
        }
      }
    }

    Add a source

    If you can represent it with a JSON schema, it can be an integration. Executor has first-party support for OpenAPI, GraphQL, MCP, and Google Discovery — but the plugin system is open to any source type.

    Via the web UI

    Open http://127.0.0.1:4788, go to Add Source, paste a URL, and Executor will detect the type, index the tools, and handle auth.

    Via the CLI

    executor call 'return await tools.executor.sources.add({
      kind: "openapi",
      name: "GitHub",
      specUrl: "https://raw.githubusercontent.com/github/rest-api-description/main/descriptions/api.github.com/api.github.com.json",
      baseUrl: null,
      auth: { kind: "none" }
    })'

    Use tools

    Agents discover and call tools through a typed TypeScript runtime:

    // discover by intent
    const matches = await tools.discover({ query: "github issues", limit: 5 });
    
    // inspect the schema
    const detail = await tools.describe.tool({
      path: matches.bestPath,
      includeSchemas: true,
    });
    
    // call with type safety
    const issues = await tools.github.issues.list({
      owner: "vercel",
      repo: "next.js",
    });

    Run code via the CLI:

    executor call --file script.ts
    executor call 'return await tools.discover({ query: "send email" })'

    If an execution pauses for auth or approval, resume it:

    executor resume --execution-id exec_123

    CLI reference

    executor web                        # start runtime + web UI
    executor mcp                        # start MCP endpoint
    executor call --file script.ts      # execute a file
    executor call '<code>'              # execute inline code
    executor call --stdin               # execute from stdin
    executor resume --execution-id <id> # resume paused execution

    Developing locally

    bun install
    bun dev

    The dev server starts at http://127.0.0.1:4788.

    Community

    Join the Discord: https://discord.gg/eF29HBHwM6

    Learn more

    Visit executor.sh to learn more.

    Attribution

    • Thank you to Crystian for providing the npm package name executor.