github-assistant-mcp
GitHub Assistant MCP
Небольшой автономный сервер Model Context Protocol (MCP), который предоставляет пять инструментов, ориентированных на чтение, для ИИ-ассистента программирования (например, OpenCode). Он позволяет ассистенту просматривать локальное рабочее пространство и получать публичный профиль GitHub через чистый изолированный stdio-транспорт.
«Простой GitHub MCP-сервер для OpenCode.»
Содержание
Related MCP server: agenticscope
Обзор
Сервер — это локальный MCP-сервер, запускаемый OpenCode как дочерний процесс. Он общается по протоколу MCP через stdio (stdin/stdout) и регистрирует пять инструментов. Ассистент вызывает эти инструменты; сервер выполняет работу (чтение файловой системы, git diff или вызов GitHub API) и возвращает структурированные текстовые результаты.
Всё, что касается файловой системы, ограничено одним каталогом WORKSPACE_ROOT, поэтому ассистент никогда не сможет прочитать или выйти за пределы папки проекта.
Как это работает (архитектура)
┌─────────────────────────┐ stdio (MCP/JSON-RPC) ┌──────────────────────────────┐
│ │ ───────────────────────────────▶ │ github-assistant (this) │
│ OpenCode / AI │ tool call: get_github_profile │ │
│ Assistant │ │ ┌────────────────────────┐ │
│ │ ◀─────────────────────────────── │ │ McpServer │ │
│ - sees 5 tools │ result (JSON text) │ │ (server.ts) │ │
│ - calls them │ │ └───────────┬────────────┘ │
│ - sandbox enforced │ │ │ registerTools │
└─────────────────────────┘ └──────────────┼──────────────┘
▼
┌────────────────────────────────┐
│ tools.ts (5 tool handlers) │
└───┬──────┬──────┬──────┬─────┬──┘
┌───────────────┘ │ │ │ │
▼ ▼ ▼ ▼ ▼
┌────────────┐ ┌────────────┐ ┌─────────┐ ┌────────────┐
│ github.ts │ │ workspace.ts│ │ git.ts │ │ paths.ts │
│ GitHub API │ │ list/read/ │ │ git diff│ │ resolve │
│ (fetch) │ │ search │ │ │ │ sandbox │
└─────┬──────┘ └─────┬──────┘ └────┬────┘ └─────┬──────┘
│ │ │ │
▼ ▼ ▼ ▼
api.github.com WORKSPACE_ROOT/* git CLI config.ts
(files only) (cwd=root) WORKSPACE_ROOTПоток данных для одного вызова инструмента:
Assistant ──JSON-RPC request──▶ McpServer
│
▼
tool handler (tools.ts)
│ validates args with zod
▼
business logic (github / workspace / git / paths)
│ resolveWorkspacePath() enforces sandbox
▼
result helper (result.ts) → { content: [{ type:"text", text }] }
│
▼
Assistant ◀──JSON-RPC response── McpServerТранспорт и жизненный цикл
Тип:
local— OpenCode запускает сервер как дочерний процесс.Транспорт:
stdioчерезserveStdio()из@modelcontextprotocol/server/stdio.Последовательность запуска:
Выполняется
node dist/server.js(объявлено вopencode.json) сcwd = ".".createServer()создаётMcpServerс именемgithub-assistant(v1.0.0).registerTools(server)подключает пять инструментов.serveStdio(createServer)начинает читать JSON-RPC-сообщения из stdin и записывать результаты в stdout.
Завершение: OpenCode завершает процесс, когда сеанс заканчивается.
Поскольку процесс наследует рабочий каталог OpenCode, WORKSPACE_ROOT разрешается в каталог проекта (path.resolve(process.cwd())).
Справочник инструментов
Все инструменты регистрируются в src/tools.ts и возвращают текстовые результаты MCP (JSON или обычный текст).
1. get_github_profile
Получает публичный профиль GitHub жёстко заданного пользователя (imshashwatsingh).
Входные данные: нет
Бэкенд:
fetch()кhttps://api.github.com/users/imshashwatsinghс заголовкомAccept: application/vnd.github+jsonи заголовкомUser-Agent.Возвращает: имя пользователя, имя, компанию, местоположение, био, публичные репозитории/гисты, подписчиков, подписки, URL профиля, временные метки создания/обновления.
Файл:
src/github.ts
2. list_files
Перечисляет файлы в каталоге рабочего пространства до заданной глубины.
Входные данные:
path(по умолчанию"."),maxDepth(0–10, по умолчанию 3)Бэкенд: рекурсивный
collectFiles()вsrc/workspace.ts— пропускает символические ссылки (без циклов) и игнорирует настроенные каталоги (node_modules,.git,dist,.next,coverage,.cache). ОграниченоMAX_RESULTS(500).Возвращает: корень рабочего пространства, количество файлов и относительные пути к файлам.
Файл:
src/workspace.ts
3. read_file
Читает текстовый файл UTF-8 с опциональным диапазоном строк.
Входные данные:
path(обязательно),startLine(опционально),endLine(опционально)Бэкенд:
readWorkspaceFile()— обеспечивает песочницу, отклоняет не-файлы, отказывается от файлов большеMAX_FILE_SIZE(1 МБ) и от бинарных расширений. Возвращает строки с номерами.Возвращает: содержимое файла с префиксами
line: text.Файл:
src/workspace.ts
4. search_context
Поиск по ключевым словам в рабочем пространстве с окружающим контекстом.
Входные данные:
query(обязательно),path(по умолчанию"."),maxResults(1–100, по умолчанию 50),contextLines(0–10, по умолчанию 2)Бэкенд:
searchContext()собирает файлы, фильтрует только текстовые файлы с ограничением размера, затем сканирует каждую строку (без учёта регистра) и захватываетcontextLinesвыше/ниже каждого совпадения.Возвращает: запрос, путь поиска, количество совпадений и совпадения с файлом/строкой/контекстом.
Файл:
src/workspace.ts
5. summarize_diff
Проверяет текущий Git diff и возвращает структурированную сводку.
Входные данные:
staged(по умолчаниюfalse),base(опциональная git-ссылка),path(опциональный файл/каталог),maxDiffChars(1000–200000, по умолчанию 50000)Бэкенд:
summarizeDiff()выполняетgit diff --no-ext-diff --unified=3(с--cached/ базовой ссылкой / фильтрами пути) изWORKSPACE_ROOT. Статистика извлекается из самого unified diff (без второго вызоваgit). Diff усекается, если превышаетmaxDiffChars.Возвращает: изменённые файлы, вставки, удаления, статистику по файлам и исходный diff — или
{ empty: true }, когда изменений нет.Файл:
src/git.ts
Модель безопасности
Сервер намеренно только для чтения и изолирован:
Проблема | Защита |
Обход пути ( |
|
Чтение бинарных файлов |
|
Слишком большие файлы |
|
Циклы символических ссылок |
|
Разрастание каталога | Перечисление/поиск ограничены |
Запись / удаление / выполнение | Нет. У сервера нет инструментов записи, удаления или произвольного выполнения команд в оболочке. Единственный порождаемый процесс — |
Сеть | Только один исходящий вызов: публичный GitHub API только для чтения для фиксированного пользователя. |
Граница песочницы находится целиком в
paths.ts. Любой новый инструмент, который касается файловой системы, обязан пропускать пути черезresolveWorkspacePath().
Разбор проекта
Точка входа —
src/server.tscreateServer()создаёт экземплярMcpServerи вызываетregisterTools().serveStdio()связывает его с stdin/stdout.Регистрация инструментов —
src/tools.tsПять вызововserver.registerTool(...). Каждый объявляет описание, проверяемую через zodinputSchemaи асинхронный обработчик. Обработчики делегируют работу модулям ниже и оборачивают вывод с помощью помощников изresult.ts.Конфигурация —
src/config.tsЦентральные константы:WORKSPACE_ROOT(разрешается изprocess.cwd()), лимиты размера/результатов, имя пользователя/URL GitHub и наборы игнорируемых/бинарных файлов.Безопасность путей —
src/paths.tsresolveWorkspacePath()— это шлюз песочницы.toWorkspaceRelative()превращает абсолютные пути обратно в относительные строки рабочего пространства для отображения.isProbablyTextFile()классифицирует файлы по расширению.Ввод-вывод рабочего пространства —
src/workspace.tscollectFiles()(рекурсивное перечисление),readWorkspaceFile()(безопасное чтение) иsearchContext()(сканирование по ключевым словам). Все проходят черезresolveWorkspacePath().GitHub —
src/github.tsfetchGitHubProfile()вызывает публичный API и преобразует сыройGitHubUserв более удобную формуGitHubProfile.Git —
src/git.tssummarizeDiff()формирует и выполняет командуgit diff;parseDiffStats()извлекает количество вставок/удалений по файлам прямо из текста diff.Результаты —
src/result.tsНебольшие помощники (textResult,errorResult,errorWithContext) стандартизируют конвертcontentMCP и флаги ошибок.
Конфигурация
opencode.json (корень проекта) объявляет сервер:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"github-assistant": {
"type": "local",
"command": ["node", "dist/server.js"],
"cwd": ".",
"enabled": true
}
}
}Внутри сервера поведение настраивается через константы в src/config.ts:
Константа | По умолчанию | Значение |
|
| Корень песочницы (каталог проекта) |
|
| Максимальный читаемый размер файла |
|
| Максимум файлов из списка/поиска |
|
| Целевой профиль |
|
| Пропускаются при обходе |
|
| Считаются не-текстовыми |
Сборка и запуск
# install dependencies
npm install
# compile TypeScript -> dist/
npm run build
# start the server (used by opencode.json)
npm start
# run directly from source (no build step)
npm run dev
# the workspace must be a git repo for summarize_diff to work
git initOpenCode автоматически подхватывает сервер из opencode.json после сборки (dist/server.js).
Структура файлов
github_assistant_mcp/
├── opencode.json # MCP server declaration for OpenCode
├── package.json # scripts + dependencies
├── tsconfig.json # TypeScript config
├── src/
│ ├── server.ts # Entry point: create + serve McpServer
│ ├── tools.ts # Registers the 5 tools + handlers
│ ├── config.ts # Constants, limits, GitHub target
│ ├── paths.ts # Sandbox path resolution + helpers
│ ├── workspace.ts # list / read / search filesystem
│ ├── github.ts # GitHub profile fetch
│ ├── git.ts # git diff summary + stat parsing
│ └── result.ts # MCP result/error helpers
└── dist/ # Compiled output (npm run build)Ограничения
get_github_profileнацелен на одного жёстко заданного пользователя; он не параметризован.summarize_diffсообщает только об изменениях в рабочем дереве — неотслеживаемые файлы не показываются командойgit diff.Инструменты файловой системы ограничены
WORKSPACE_ROOT; доступа к другим проектам нет.Все инструменты только для чтения по замыслу — никаких правок, удалений или выполнения команд в оболочке.
Нет аутентификации: вызов GitHub использует неаутентифицированный публичный API (ограничение 60 запросов/час на IP).
Available Tools
5 toolsget_github_profileA
Get the public GitHub profile of imshashwatsingh.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It only states 'Get the public GitHub profile' without mentioning authentication requirements, rate limits, return format, or side effects. The description is minimally transparent beyond the core action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no fluff. It states the action and target clearly, earning full marks for conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For the tool's simplicity (no parameters, no output schema), the description adequately conveys what it does. It could mention the return format, but the core purpose is clear and complete for the given context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, and schema coverage is effectively 100% (vacuously). The description doesn't need to explain parameters, and the baseline for 0-parameter tools is 4. It does not add any misleading parameter info.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Get') and clearly identifies the resource ('public GitHub profile of imshashwatsingh'). This distinguishes it from sibling tools (file operations), making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The context is clear: use when you need the public GitHub profile for the specified user. No explicit exclusions or alternatives are mentioned, but the sibling tools are unrelated, so confusion is unlikely. It lacks explicit 'when not to use' guidance, hence not a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_filesA
List files in the workspace so the assistant can inspect the project before reading or summarizing it.
| Name | Required | Description | Default |
|---|---|---|---|
| path | No | Directory relative to the workspace root. | . |
| maxDepth | No | Maximum directory depth to traverse. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. However, it only restates the basic function without exposing any behavioral traits: it doesn't mention that it traverses directories, that output includes files and directories (or just files), whether it returns a tree or flat list, or any caveats like permission requirements. This is a significant gap for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, focused sentence with no filler. It immediately states the action and purpose, making it highly scannable and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with only two parameters, both fully described in the schema, and no output schema. The description states the core purpose and intended usage context, which is sufficient for an agent to know when to invoke it. It doesn't detail return format, but for a listing tool that's often implicit. Overall, it's adequately complete for the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% (both parameters are fully described in the schema), so the baseline is 3. The description adds no parameter-specific details, but the schema already provides defaults and explanation, so the description does not need to compensate. No extra semantic value is added.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List files') and the resource ('in the workspace'), with a specific purpose ('so the assistant can inspect the project before reading or summarizing it'). This distinguishes it from sibling tools like read_file (which reads content) and search_context (which searches).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly indicates when to use it: 'before reading or summarizing it' – providing a clear usage context. It doesn't explicitly state exclusions or alternatives, but the context is sufficient for an agent to infer it should be used first in a project inspection workflow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
read_fileA
Read a text file from the workspace. Use list_files first to discover available files.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | File path relative to the workspace root. | |
| endLine | No | Optional 1-based ending line. | |
| startLine | No | Optional 1-based starting line. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. 'Read' clearly implies a non-destructive, read-only operation, but the description does not disclose any additional behavioral traits such as error behavior, encoding, or line range semantics (though line range is covered by the schema). It is adequate but minimal, not misleading.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core action and followed by a useful usage hint. There is zero filler, and every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, with a well-documented schema. The description provides sufficient context for a basic read operation, including the prerequisite step of listing files. While there is no output schema, the return value (file content) is obvious. Missing details like error handling are minor and expected for such a straightforward tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for all three parameters (path, startLine, endLine), with clear descriptions. The tool description adds no additional meaning beyond the schema, so the baseline of 3 applies as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb and resource: 'Read a text file from the workspace.' This is a specific, unambiguous action that distinguishes it from sibling tools like list_files (listing) and search_context (searching). The inclusion of 'text file' also scopes the tool's domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly instructs to 'Use list_files first to discover available files,' providing clear contextual guidance on when to use this tool relative to the siblings. It implies that read_file is for after discovery, though it does not explicitly state exclusions or alternative scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_contextA
Search the workspace for a keyword or phrase. Returns matching files and surrounding lines so the assistant can understand relevant context.
| Name | Required | Description | Default |
|---|---|---|---|
| path | No | Optional directory relative to the workspace root. | . |
| query | Yes | Keyword or phrase to search for. | |
| maxResults | No | Maximum number of matching lines. | |
| contextLines | No | Number of surrounding lines to return. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral disclosure. It states the core behavior (returns matching files and surrounding lines) but does not mention edge behaviors such as case sensitivity, binary file handling, or ordering of results. It adds value beyond the schema but lacks deeper behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, both information-dense with no filler. It immediately states the action, then the result and purpose, making it easy to scan and understand the tool's role.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite lacking an output schema and annotations, the description provides a sufficient high-level understanding of the return value. Combined with a fully documented schema, it is complete enough for a straightforward search tool. It could elaborate on return format, but the essentials are present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The description echoes the 'query' and 'contextLines' concepts ('keyword or phrase', 'surrounding lines') but does not add substantive meaning beyond what the schema parameters already document. It does not clarify path defaults or maxResults behavior beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Search') with a clear resource ('the workspace') and explicitly states the output ('matching files and surrounding lines'). This clearly distinguishes it from sibling tools like list_files and read_file, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use it through the clause 'so the assistant can understand relevant context,' indicating it is for gaining situational understanding via keyword search. It does not explicitly mention alternatives or exclusion cases, but for a simple search tool this is adequate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
summarize_diffA
Inspect the current Git diff and return a compact structured summary of changed files, additions, deletions, and the actual diff for the assistant to summarize.
| Name | Required | Description | Default |
|---|---|---|---|
| base | No | Optional Git ref such as main, HEAD~1, or origin/main. | |
| path | No | Optional file or directory relative to the workspace. | |
| staged | No | When true, inspect staged changes instead of working-tree changes. | |
| maxDiffChars | No | Maximum number of diff characters returned. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the transparency burden. It clearly signals a read-only operation via 'Inspect' and describes the output shape (summary plus actual diff). It does not detail edge cases such as empty diffs or repository errors, but the core behavioral contract is well communicated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that front-loads the key action and outcome. Every clause adds value, and there is no fluff or redundant repetition of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description correctly explains what the tool returns: changed files, additions, deletions, and the actual diff. The parameters are fully documented in the schema, so the description combined with the schema gives sufficient context for correct selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already has 100% description coverage for all four parameters, so the baseline is 3. The description adds context about the overall output but does not enrich understanding of individual parameters beyond what the schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Inspect') and resource ('current Git diff'), and clearly states it returns a structured summary with changed files, additions, deletions, and the actual diff. This distinguishes it from sibling tools like list_files and read_file, which do not operate on Git diffs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'for the assistant to summarize' implies the intended use case: obtaining diff data to produce a summary. However, there is no explicit guidance about when to choose this over alternatives or when not to use it, so it relies on implication rather than clear direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
5 tool updates
v1.0.0- First observed
get_github_profile - First observed
list_files - First observed
read_file - First observed
search_context - First observed
summarize_diff
TDQS
Scored across 5 tools
The tools are clearly distinct: one fetches GitHub profile data, while the others handle local workspace file operations (listing, reading, searching, diffing). No functional overlap exists between them.
All tool names follow a consistent 'verb_noun' pattern (e.g., list_files, read_file, summarize_diff). The single compound name 'get_github_profile' still adheres to the same structure, maintaining a uniform convention.
Five tools is a reasonable number for a focused assistant, neither too sparse nor overwhelming. However, the mix leans heavily toward workspace operations rather than GitHub-specific actions, which slightly reduces appropriateness for the server's stated purpose.
The tool surface is severely incomplete for a GitHub assistant: it only covers profile retrieval and local file operations. Core GitHub workflows like issues, pull requests, repository management, and code search are entirely absent, making the toolset insufficient for its intended domain.
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