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STDIO library — a local MCP server bridging your MCP client to your Willow workspace","maintainers":[{"name":"idan-webrix","email":"idan@webrix.ai"},{"name":"shalevshalit","email":"shalev@webrix.ai"}],"readme":"<p align=\"center\">\n  <a href=\"https://withwillow.ai/\">\n    <img src=\"https://icons.withwillow.ai/willow/full-logo-green.svg\" alt=\"Willow\" width=\"240\" />\n  </a>\n</p>\n\n<p align=\"center\">\n  <a href=\"https://withwillow.ai/\">withwillow.ai</a>\n  &nbsp;·&nbsp;\n  <a href=\"https://docs.withwillow.ai/\">Documentation</a>\n</p>\n\n# Willow STDIO Library\n\n`@mcp-s/mcp` is the Willow STDIO library: a local MCP server that speaks stdio\nto your AI client and connects it to your [Willow](https://withwillow.ai/)\nbasecamp.\n\n## What is Willow?\n\n[Willow](https://withwillow.ai/) is the identity and access layer for AI agents\nat work. Instead of every employee wiring their own MCP servers with personal\nAPI keys, Willow gives an organization one control plane: admins connect tools\nonce (1000+ connectors, plus API-to-MCP conversion for internal endpoints),\nscope them by identity with least-privilege permissions, and get a full audit\ntrail of every action an agent takes — with approvals, guardrails, and a kill\nswitch when something goes wrong.\n\n## What this library does\n\nThis package is the client-side half of that: the piece that runs on your\nmachine so your AI client can reach the tools your admin approved.\n\n- **Runs as a stdio MCP server.** Any MCP client that can spawn a process\n  (Cursor, Claude Desktop, Claude Code, VS Code, and others) can use it.\n- **Serves your whole Willow basecamp.** Tools, resources and prompts from\n  every integration connected in Willow show up in your client, scoped to what\n  your identity is allowed to use.\n- **Handles authentication for you.** No API keys to copy around. The first run\n  opens a browser sign-in through your organization's identity provider; the\n  session is cached in `~/.willow` and refreshed when it expires.\n- **Proxies local MCP servers.** Servers your organization configured to run\n  locally are spawned and bridged through the same connection, so a single entry\n  in your client config covers everything.\n- **Logs and audits.** Every tool call is reported back to Willow's audit trail,\n  and everything the server does is written to a local log file for debugging.\n\n## Installation\n\nAdd Willow to your client's MCP configuration:\n\n```json\n{\n  \"mcpServers\": {\n    \"Willow\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@mcp-s/mcp\"],\n      \"env\": {\n        \"ORG\": \"<YOUR_ORG>\"\n      }\n    }\n  }\n}\n```\n\nReplace `<YOUR_ORG>` with your organization identifier, save the file, and\nrestart the client. Per-client setup instructions live in the\n[Willow docs](https://docs.withwillow.ai/).\n\n## Signing in\n\nOn first start the server has no session yet, so it exposes a single\n`authenticate` tool. Ask your assistant to authenticate (or call the tool\ndirectly) and a browser window opens for sign-in. Once you finish, the session\nis saved to `~/.willow` and the full tool list is pushed to your client\nimmediately — no restart needed.\n\n## Environment variables\n\n| Variable | Description |\n| --- | --- |\n| `ORG` | Your organization identifier. Required unless `BASE_URL` is set. |\n| `BASE_URL` | Custom base URL for the Willow service. Defaults to `https://${ORG}.mcp-s.com/mcp`. |\n| `TOOLKIT` | Comma-separated toolkit slugs to scope the connection to. |\n| `MCP` | Comma-separated MCP server slugs to scope the connection to. |\n| `MESH` | Set to `true` to serve five discovery meta-tools instead of the full catalog. Off by default. |\n| `AUTH_MESSAGE` | Custom description for the `authenticate` tool. Defaults to `This returns a url that authenticates the user`. |\n| `LIST_TOOLS_TIMEOUT_MS` | Timeout for `tools/list` before falling back to just the `authenticate` tool. Defaults to 2 minutes. |\n| `MAX_TOOLS` | Opt-in cap on how many tools are returned in one `tools/list` response. Above it, a single explanatory tool is returned asking you to scope with `TOOLKIT` or `MCP`. Off by default. |\n\nIf your basecamp exposes a large catalog, scope the connection with `TOOLKIT`\nor `MCP` so your client only loads the tools it actually needs.\n\n## Mesh mode\n\nA large basecamp can put hundreds of tool schemas into the model's context\nbefore it has read a single message. `MESH=true` swaps that for five\nmeta-tools, mirroring the hosted `/mcp-mesh` endpoint, and lets the model pull\nin only what a task needs:\n\n| Tool | What it does |\n| --- | --- |\n| `search_tools` | Ranked search across every server, by keyword or phrase. |\n| `get_mcp_servers` | Lists the servers you have access to, with tool counts. |\n| `get_mcp_tools` | Lists the tools on one server. |\n| `get_tool_details` | Returns descriptions and input schemas for chosen tools. |\n| `execute_tool` | Runs a tool by server and tool slug. |\n\n```json\n{\n  \"mcpServers\": {\n    \"Willow\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@mcp-s/mcp\"],\n      \"env\": {\n        \"ORG\": \"<YOUR_ORG>\",\n        \"MESH\": \"true\"\n      }\n    }\n  }\n}\n```\n\nSearch runs locally against your catalog, so it costs no round trip and no\nmodel call. It is ranked rather than filtered: a query matches on the tool's\nslug, display name, description and the server it belongs to, weighted in that\norder, and tools matching every term always come before tools matching only\nsome. Along the way it handles the things a model actually types —\n`\"send a message in slack\"` finds `slack__send_message` past the stop words,\n`issues` finds `create_issue`, `repo` finds `list_repositories`, and `chanel`\nfinds `list_channels`. When nothing matches, the response carries the closest\ntools as `did_you_mean` instead of an empty list, so the model can recover\nwithout another guess.\n\nThe catalog is fetched on the first discovery call rather than at startup, so\n`tools/list` returns immediately, and calls go through the same permission\nchecks, guardrails and audit trail as the regular tools. Mesh mode composes\nwith `TOOLKIT` and `MCP`: discovery only ever sees the scoped catalog. Prompts\nand resources are unaffected — they are listed as usual.\n\n## Logs\n\nEverything the server writes to `console` — plus uncaught exceptions, unhandled\npromise rejections and shutdown signals — is appended to a log file in the same\ninstall directory as the saved session:\n\n```\n~/.willow/logs/mcp-s.log\n```\n\nEach spawned local MCP server also gets its own `~/.willow/logs/server-<id>.log`\ncontaining that server's stderr. The main log rotates at 5 MB, keeping the three\nprevious generations (`mcp-s.log.1` … `mcp-s.log.3`). Access keys and tokens are\nreplaced with `[redacted]` before anything is written.\n\nLogging is controlled by these optional environment variables:\n\n- `WILLOW_LOG_LEVEL`: `debug`, `info` (default), `warn`, `error` or `silent`.\n  Use `debug` when troubleshooting — it adds every upstream HTTP call, its\n  status and timing, plus the arguments of each tool call.\n- `WILLOW_LOG_DIR`: write logs somewhere other than `~/.willow/logs`.\n- `WILLOW_LOG_MAX_SIZE_MB`: rotation threshold in MB (default `5`).\n- `WILLOW_HOME`: relocate the whole install directory (session and logs).\n\n## Learn more\n\n- [docs.withwillow.ai](https://docs.withwillow.ai/) — admin and user guides,\n  connector setup, and the API reference.\n- [withwillow.ai](https://withwillow.ai/) — the platform, the connector\n  marketplace, and everything else Willow does.\n","readmeFilename":"README.md"}