Context Repo MCP Server

*One workspace for your prompts, documents, and collections — accessible from every AI client you use.* Context Repo is an AI context management platform for capturing, organizing, versioning, and searching the knowledge artifacts you use with AI tools. This MCP server exposes **28 tools** that give Claude, Cursor, ChatGPT, Factory, Windsurf, Codex, Claude Code, and any other MCP-compatible client direct read-and-write access to your personal workspace — no copy-paste, no context loss between conversations. ## Features - **Prompts** — Full CRUD with version history, rollback, and semantic search across your prompt library - **Documents** — Markdown and plain-text storage with automatic chunking and 1536-dim vector embeddings - **Collections** — Named folders that group prompts and documents into project-scoped contexts - **Catalog Search** — `find_items` returns ranked results across prompts, documents, and collections in a single call (semantic by default, literal fallback) - **Deep Search** — Hierarchical document navigation: search ranked passages, then expand up to parents, down to children, or sideways to siblings for token-efficient exploration of long content - **Version History** — Every content edit creates a new version; restore any prompt or document to any previous state - **Real-time Sync** — Changes propagate instantly via Convex live queries; AI clients always see the latest content - **ChatGPT Apps Ready** — `search` and `fetch` are OpenAI Apps SDK Company-Knowledge eligible; `find_items` carries an optional `ui://` resource for inline result rendering ## Tools (28 total) | Category | Tools | |---|---| | User Info (1) | `get_user_info` | | Prompts (7) | `search_prompts` · `read_prompt` · `create_prompt` · `update_prompt` · `delete_prompt` · `get_prompt_versions` · `restore_prompt_version` | | Documents (7) | `list_documents` · `get_document` · `create_document` · `update_document` · `delete_document` · `get_document_versions` · `restore_document_version` | | Collections (7) | `list_collections` · `get_collection` · `create_collection` · `update_collection` · `delete_collection` · `add_to_collection` · `remove_from_collection` | | Catalog (1) | `find_items` | | Deep Search (3) | `deep_search` · `deep_read` · `deep_expand` | | ChatGPT Apps (2) | `search` · `fetch` | ## Authentication Two ways to connect: 1. **API Key** — Generate a scoped `gm_*` key at [contextrepo.com/dashboard/settings](https://contextrepo.com/dashboard/settings). Per-key permissions: `prompts.read`, `prompts.write`, `documents.read`, `documents.write`, `documents.scrape`. Sent as `Authorization: Bearer gm_...`. 2. **Clerk OAuth 2.0** — RFC 9728 protected-resource metadata at `/.well-known/oauth-protected-resource/mcp`, RFC 8414 authorization-server metadata at `/.well-known/oauth-authorization-server`. Standard OAuth flow for clients that support it. ## Use Cases - **Prompt library that follows you.** Stop copy-pasting prompts between Claude, Cursor, and ChatGPT. Maintain one canonical version, retrieve it from any client. - **Personal knowledge base.** Save research articles, documentation, and AI conversations with the [Context Repo Chrome Extension](https://contextrepo.com/chrome-extension), then pull them in as grounded context inside your AI tools. - **Project-scoped collections.** Separate workspaces per client, repo, or topic so an AI assistant only sees what's relevant to the task at hand. - **Version-controlled prompts.** Track how prompts evolve, A/B test variants, and roll back when an "improvement" turns out worse. - **Long-document exploration.** Deep Search navigates book-length documents passage by passage instead of dumping them into context — every chunk carries parent/child/sibling links the agent can walk. ## Compatibility Streamable HTTP transport, MCP spec ≥ 2025-03-26. Verified with Claude Desktop, Cursor, ChatGPT (via the OpenAI Apps SDK), Factory, Windsurf, Codex, Claude Code, VS Code (Continue), and Amp. Any MCP-compatible client should work. ## Resources - Website: [contextrepo.com](https://contextrepo.com) - Documentation: [contextrepo.com/docs](https://contextrepo.com/docs) - Pricing & free trial: [contextrepo.com/pricing](https://contextrepo.com/pricing) - Agent discovery: [contextrepo.com/llms.txt](https://contextrepo.com/llms.txt) - API reference: [contextrepo.com/openapi.json](https://contextrepo.com/openapi.json)

接入信息

传输形态

http

鉴权方式

需 API Key（需要配置：apiKey）

端点

https://context-repo-mcp--contextrepo.run.tools

{
  "mcpServers": {
    "Context Repo MCP Server": {
      "headers": {
        "Authorization": "Bearer \u003cYOUR_KEY\u003e"
      },
      "url": "https://context-repo-mcp--contextrepo.run.tools"
    }
  }
}

能力清单