@selfagency/beans-mcp
MCP server for Beans issue tracker, providing programmatic and CLI interfaces for AI-powered interactions with Beans workspaces.
README
@selfagency/beans-mcp 🫘
<img src="docs/assets/icon.png" alt="beans-mcp icon" width="300" />
MCP (Model Context Protocol) server for Beans issue tracker. Provides programmatic and CLI interfaces for AI-powered interactions with Beans workspaces.
Documentation: beans-mcp.self.agency
🤖 Try Beans fully-integrated with GitHub Copilot in VS Code! Install the <a href="https://marketplace.visualstudio.com/items?itemName=selfagency.beans-vscode">selfagency.beans-vscode</a> extension.
Usage
npx @selfagency/beans-mcp /path/to/workspace
Versioning
@selfagency/beans-mcp has its own package versioning. Compatibility with the
Beans CLI is tracked separately.
At startup, the server compares the installed beans CLI version against the
hardcoded supported Beans version: 0.4.2. If they differ, it prints a warning
to stderr and continues startup.
Parameters
--workspace-rootor positional arg: Workspace root path--cli-path: Path to Beans CLI--port: MCP server port (default: 39173)--log-dir: Log directory-h,--help: Print usage and exit
Summary of public MCP tools
| Tool | Description |
|---|---|
beans_init |
Initialize the workspace (optional prefix). |
beans_archive |
Archive completed/scrapped beans. |
beans_view |
Fetch full bean details by beanId or beanIds. |
beans_create |
Create a new bean (title/type + optional body/parent). |
beans_bulk_create |
Create multiple beans in one call, optionally under a shared parent. |
beans_update |
Consolidated metadata + body updates (status/type/priority/parent/clearParent/blocking/blockedBy/body/bodyAppend/bodyReplace) plus optional optimistic concurrency hint (ifMatch). |
beans_bulk_update |
Update multiple beans in one call, optionally reassigning them to a shared parent. |
beans_complete_tasks |
Mark all markdown checklist tasks within a bean as complete. |
beans_delete |
Delete one or many beans (beanId or beanIds, optional force). |
beans_reopen |
Reopen a completed or scrapped bean to an active status. |
beans_query |
Unified list/search/filter/sort/ready operations, with GraphQL passthrough. |
beans_bean_file |
Read/edit/create/delete files under .beans. |
beans_output |
Read extension output logs or show guidance. |
<details> <summary>Notes</summary>
- The
beans_querytool is intentionally broad: prefer it for listing, searching, filtering or sorting beans, and for generating Copilot instructions (operation: 'llm_context'). - All file and log operations validate paths to keep them within the workspace or the VS Code log directory. The
.beans/prefix is automatically stripped from paths — you can pass eithersome-bean.mdor.beans/some-bean.mdand the result is the same. beans_updatereplaces many fine-grained update tools; callers should use it to keep the public tool surface small and predictable.beans_archiveprovides CLI parity for archiving completed/scrapped beans.- Closing a parent bean via
beans_update(status: completedorstatus: scrapped) cascades the same status to all descendants. - Reopening a parent bean via
beans_reopencascades the target status to closed descendants (completed/scrapped). beans_bulk_createandbeans_bulk_updateare best-effort: they process each item sequentially and return a per-item result array with success/error entries rather than failing atomically.- Frontmatter
title:values are automatically double-quoted on write. Pass raw titles — quoting and escaping is handled for you. beans_bean_filesupportsupdate_frontmatterfor atomic frontmatter-only writes; supported fields includeprandbranch.- Unfiltered list results are cached with a short burst TTL and a timestamp-probe refresh strategy. Mutation tools (
beans_create,beans_update,beans_delete, etc.) invalidate the cache immediately. - Version mismatches between
beans-mcpand the Beans CLI are warning-only and non-blocking by design. - When
beanIdis missing in tool input, validation errors include a hint:Did you mean \beanId`?`.
</details>
Examples
<details> <summary>beans_init</summary>
Request:
{ "prefix": "project" }
Response (structuredContent):
{ "initialized": true }
</details>
<details> <summary>beans_view</summary>
Request:
{ "beanId": "bean-abc" }
Request (multiple beans):
{ "beanIds": ["bean-abc", "bean-def"] }
Response (structuredContent):
{
"bean": {
"id": "bean-abc",
"title": "Fix login timeout",
"status": "todo",
"type": "bug",
"priority": "critical",
"body": "...markdown...",
"createdAt": "2025-12-01T12:00:00Z",
"updatedAt": "2025-12-02T08:00:00Z"
}
}
</details>
<details> <summary>beans_archive</summary>
Request:
{}
Response (example):
{ "archived": true, "archivedCount": 3 }
</details>
<details> <summary>beans_create</summary>
Request:
{
"title": "Add dark mode",
"type": "feature",
"status": "todo",
"priority": "normal",
"body": "Implement theme toggle and styles",
"parent": "epic-123"
}
descriptionis accepted as a deprecated alias forbody.
Response (structuredContent):
{
"bean": {
"id": "new-1",
"title": "Add dark mode",
"status": "todo",
"type": "feature"
}
}
</details>
<details> <summary>beans_bulk_create</summary>
Request:
{
"parent": "epic-123",
"beans": [
{ "title": "Design mockups", "type": "task" },
{ "title": "Implement API", "type": "task", "priority": "high" },
{ "title": "Write tests", "type": "task", "parent": "epic-456" }
]
}
The top-level parent is applied as a default to any bean that does not specify its own parent. Here Design mockups and Implement API are assigned to epic-123; Write tests overrides with epic-456.
Response (structuredContent):
{
"requestedCount": 3,
"successCount": 3,
"failedCount": 0,
"results": [
{ "bean": { "id": "task-1", "title": "Design mockups" } },
{ "bean": { "id": "task-2", "title": "Implement API" } },
{ "bean": { "id": "task-3", "title": "Write tests" } }
]
}
</details>
<details> <summary>beans_bulk_update</summary>
Request (move a batch of tasks to in-progress and assign them to a parent):
{
"parent": "epic-123",
"beans": [
{ "beanId": "task-1", "status": "in-progress" },
{ "beanId": "task-2", "status": "in-progress" },
{ "beanId": "task-3", "status": "in-progress", "parent": "epic-456" }
]
}
Response (structuredContent):
{
"requestedCount": 3,
"successCount": 3,
"failedCount": 0,
"results": [
{ "beanId": "task-1", "bean": { "id": "task-1", "status": "in-progress" } },
{ "beanId": "task-2", "bean": { "id": "task-2", "status": "in-progress" } },
{ "beanId": "task-3", "bean": { "id": "task-3", "status": "in-progress" } }
]
}
Both bulk tools are best-effort: partial failures are reported per-item rather than aborting the whole batch.
</details>
<details> <summary>beans_update</summary>
Request (change status and add blocking):
{
"beanId": "bean-abc",
"status": "in-progress",
"blocking": ["bean-def"],
"ifMatch": "etag-value"
}
Request (atomic body modifications):
{
"beanId": "bean-abc",
"bodyReplace": [
{ "old": "- [ ] Task 1", "new": "- [x] Task 1" },
{ "old": "- [ ] Task 2", "new": "- [x] Task 2" }
],
"bodyAppend": "## Summary\n\nAll checklist items completed."
}
Note:
body(full replacement) cannot be combined withbodyAppendorbodyReplacein the same request.
Response (structuredContent):
{
"bean": {
"id": "bean-abc",
"status": "in-progress",
"blockingIds": ["bean-def"]
}
}
</details>
<details> <summary>beans_delete</summary>
Request:
{ "beanId": "bean-old", "force": false }
Response:
{ "deleted": true, "beanId": "bean-old" }
Batch request:
{ "beanIds": ["bean-old", "bean-older"], "force": false }
Batch response (summary):
{
"requestedCount": 2,
"deletedCount": 2,
"failedCount": 0,
"results": [
{ "beanId": "bean-old", "deleted": true },
{ "beanId": "bean-older", "deleted": true }
]
}
</details>
<details> <summary>beans_reopen</summary>
Request:
{
"beanId": "bean-closed",
"requiredCurrentStatus": "completed",
"targetStatus": "todo"
}
Response:
{ "bean": { "id": "bean-closed", "status": "todo" } }
</details>
<details> <summary>beans_complete_tasks</summary>
Request:
{ "beanId": "bean-abc" }
Response:
{
"bean": {
"id": "bean-abc",
"status": "todo"
},
"totalTaskCount": 5,
"updatedTaskCount": 3,
"unchangedTaskCount": 2
}
</details>
<details> <summary>beans_query examples</summary>
Refresh (list all beans):
{ "operation": "refresh" }
Response (partial):
{ "count": 12, "beans": [] }
Filter (statuses/types/tags):
{
"operation": "filter",
"statuses": ["in-progress", "todo"],
"types": ["bug", "feature"],
"tags": ["auth"]
}
Search (full-text):
{ "operation": "search", "search": "authentication", "includeClosed": false }
Sort (modes: status-priority-type-title, updated, created, id):
{ "operation": "sort", "mode": "updated" }
Ready (actionable beans only):
{ "operation": "ready" }
LLM context (generate Copilot instructions; optional write-to-workspace):
{ "operation": "llm_context", "writeToWorkspaceInstructions": true }
Response (structuredContent):
{
"graphqlSchema": "...",
"generatedInstructions": "...",
"instructionsPath": "/workspace/.github/instructions/beans-prime.instructions.md"
}
Raw GraphQL passthrough (CLI parity with beans query):
{
"operation": "graphql",
"graphql": "{ beans(filter: { type: [\"bug\"] }) { id title status } }"
}
With variables:
{
"operation": "graphql",
"graphql": "query($q: String!) { beans(filter: { search: $q }) { id title } }",
"variables": { "q": "authentication" }
}
</details>
<details> <summary>beans_bean_file</summary>
Request (read):
{ "operation": "read", "path": "beans-vscode-123--title.md" }
Response:
{
"path": "/workspace/.beans/beans-vscode-123--title.md",
"content": "---\n...frontmatter...\n---\n# Title\n"
}
Request (atomic frontmatter update):
{
"operation": "update_frontmatter",
"path": "beans-vscode-123--title.md",
"fields": {
"status": "in-progress",
"pr": "123",
"branch": "feature/cascade-status-and-skills-npm"
}
}
Response:
{
"path": "/workspace/.beans/beans-vscode-123--title.md",
"bytes": 256,
"updatedFields": ["status", "pr", "branch"],
"frontmatter": {
"status": "in-progress",
"pr": "123",
"branch": "feature/cascade-status-and-skills-npm"
}
}
</details>
<details> <summary>beans_output</summary>
Request (read last 200 lines):
{ "operation": "read", "lines": 200 }
Response:
{
"path": "/workspace/.vscode/logs/beans-output.log",
"content": "...log lines...",
"linesReturned": 200
}
</details>
Programmatic usage
Installation
npm install beans-mcp
Example
import { createBeansMcpServer, parseCliArgs } from '@selfagency/beans-mcp';
const server = await createBeansMcpServer({
workspaceRoot: '/path/to/workspace',
cliPath: 'beans', // or path to beans CLI
});
// Connect to stdio transport or your own transport
API
createBeansMcpServer(opts)
Creates and initializes a Beans MCP server instance.
Options:
workspaceRoot(string): Path to the Beans workspacecliPath(string, optional): Path to Beans CLI executable (default: 'beans')name(string, optional): Server name (default: 'beans-mcp-server')version(string, optional): Server versionlogDir(string, optional): Directory for server logsbackend(BackendInterface, optional): Custom backend implementation
Returns: { server: McpServer; backend: BackendInterface }
startBeansMcpServer(argv)
CLI-compatible entrypoint for launching the server.
Utility Functions
parseCliArgs(argv: string[]): Parse CLI argumentsisPathWithinRoot(root: string, target: string): boolean: Check if path is contained within rootsortBeans(beans, mode): Sort beans by specified mode
Types & Schemas
Export of GraphQL schema, Zod validation schemas, and TypeScript types for Beans records and operations.
Agent Skills (skills-npm, skills.sh)
This package ships a built-in Agent Skill under skills/ and also publishes that skill in a format that fits the broader open skills ecosystem surfaced by skills.sh.
- Skill path in package:
skills/beans-mcp/SKILL.md - Published skill artifact:
https://beans-mcp.self.agency/.well-known/agent-skills/beans-mcp/SKILL.md - Published discovery index:
https://beans-mcp.self.agency/.well-known/agent-skills/index.json - Compatible with discovery tools that scan:
node_modules/**/skills/*/SKILL.md
That means you can use it with npm-based workflows such as skills-npm, while also pointing ecosystem tooling at the published skill artifact and discovery index used by skills catalogs like skills.sh.
To symlink installed npm-packaged skills into your agent workspace, you can use skills-npm in your consuming project.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。