by probelabs
Search any codebase or documentation, including Git Hub repositories, with Probe's optimized, auto-updating search engin
Makes any documentation or codebase searchable by AI assistants using the Probe search engine. Point it to a Git repository or local folder to enable natural language queries about code and docs.
Probe Documentation Search is a community-built MCP server published by probelabs that provides AI assistants with tools and capabilities via the Model Context Protocol. Search any codebase or documentation, including Git Hub repositories, with Probe's optimized, auto-updating search engin It is categorized under productivity, developer tools. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
You can install Probe Documentation Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Probe Documentation Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We evaluated Probe Documentation Search against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Probe Documentation Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Probe Documentation Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Probe Documentation Search against two servers with overlapping tools; this profile had the clearer scope statement.
Probe Documentation Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Probe Documentation Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Probe Documentation Search is the kind of server we cite when onboarding engineers to host + tool permissions.
Probe Documentation Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Probe Documentation Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Probe Documentation Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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A flexible Model Context Protocol (MCP) server powered by Probe that makes any documentation or codebase searchable by AI assistants.
Chat with code or your docs by simply pointing to a git repo or folder:
npx -y @probelabs/docs-mcp@latest --gitUrl https://github.com/probelabs/probe
Use Cases:
The content source (documentation or code) can be pre-built into the package during the npm run build step, or configured dynamically at runtime using local directories or Git repositories. By default, when using a gitUrl without enabling auto-updates, the server downloads a .tar.gz archive for faster startup. Full Git cloning is used only when autoUpdateInterval is greater than 0.
Add to your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"docs-search": {
"command": "npx",
"args": [
"-y",
"@probelabs/docs-mcp@latest",
"--gitUrl",
"https://github.com/your-org/your-repo",
"--toolName",
"search_docs",
"--toolDescription",
"Search documentation"
]
}
}
}
You can configure your MCP client to launch this server using npx. Here are examples of how you might configure a client (syntax may vary based on the specific client):
Example 1: Dynamically Searching a Git Repository (Tyk Docs)
This configuration tells the client to run the latest @probelabs/docs-mcp package using npx, pointing it dynamically to the Tyk documentation repository. The -y argument automatically confirms the npx installation prompt. The --toolName and --toolDescription arguments customize how the search tool appears to the AI assistant.
{
"mcpServers": {
"tyk-docs-search": {
"command": "npx",
"args": [
"-y",
"@probelabs/docs-mcp@latest",
"--gitUrl",
"https://github.com/TykTechnologies/tyk-docs",
"--toolName",
"search_tyk_docs",
"--toolDescription",
"Search Tyk API Management Documentation"
],
"enabled": true
}
}
}
Alternatively, some clients might allow specifying the full command directly. You could achieve the same as Example 1 using:
npx -y @probelabs/docs-mcp@latest --gitUrl https://github.com/TykTechnologies/tyk-docs --toolName search_tyk_docs --toolDescription "Search Tyk API Management Documentation"
Example 2: Using a Pre-built, Branded MCP Server (e.g., Tyk Package)
If a team publishes a pre-built package containing specific documentation (like @tyk-technologies/docs-mcp), the configuration becomes simpler as the content source and tool details are baked into that package. The -y argument is still recommended for npx.
{
"mcpServers": {
"tyk-official-docs": {
"command": "npx",
"args": [
"-y",
"@tyk-technologies/docs-mcp@latest"
],
"enabled": true
}
}
}
This approach is ideal for distributing standardized search experiences for official documentation or codebases. See the "Creating Your Own Pre-built MCP Server" section below.
Here is example on how Tyk team have build own documentation MCP server https://github.com/TykTechnologies/docs-mcp.
Create a docs-mcp.config.json file in the root directory to define the default content source and MCP tool details used during the build and at runtime (unless overridden by CLI arguments or environment variables).
{
"includeDir": "/Users/username/projects/my-project/docs",
"toolName": "search_my_project_docs",
"toolDescription": "Search the documentation for My Project.",
"ignorePatterns": [
"node_modules",
".git",
"build",
"*.log"
]
}
{
"gitUrl": "https://github.com/your-org/your-codebase.git",
"gitRef": "develop",
"autoUpdateInterval": 15,
"toolName": "search_codebase",
"toolDescription": "Search the main company codebase.",
"ignorePatterns": [
"*.test.js",
"dist/",
"__snapshots__"
]
}
includeDir: (Build/Runtime) Absolute path to a local directory whose contents will be copied to the data directory during build, or used directly at runtime if dataDir is not specified. Use this OR gitUrl.gitUrl: (Build/Runtime) URL of the Git repository. Use this OR includeDir.
autoUpdateInterval is 0 (default), the server attempts to download a .tar.gz archive directly (currently assumes GitHub URL structure: https://github.com/{owner}/{repo}/archive/{ref}.tar.gz). This is faster but doesn't support updates.autoUpdateInterval > 0, the server performs a git clone and enables periodic updates.gitRef: (Build/Runtime) The branch, tag, or commit hash to use from the gitUrl (default: main). Used for both tarball download and Git clone/pull.autoUpdateInterval: (Runtime) Interval in minutes to automatically check for Git updates (default: 0, meaning disabled). Setting this to a value > 0 enables Git cloning and periodic git pull operations. Requires the git command to be available in the system path.dataDir: (Runtime) Path to the directory containing the content to be searched at runtime. Overrides content sourced from includeDir or gitUrl defined in the config file or built into the package. Useful for pointing the server to live data without rebuilding.toolName: (Build/Runtime) The name of the MCP tool exposed by the server (default: search_docs). Choose a descriptive name relevant to the content.toolDescription: (Build/Runtime) The description of the MCP tool shown to AI assistants (default: "Search documentation using the probe search engine.").ignorePatterns: (Build/Runtime) An array of glob patterns.enableBuildCleanup: (Build) If true (default), removes common binary/media files (images, videos, archives, etc.) and files larger than 100KB from the data directory after the build step. Set to false to disable this cleanup.
includeDir during build: Files matching these patterns are excluded when copying to data. .gitignore rules are also respected.gitUrl or dataDir at runtime: Files matching these patterns within the data directory are ignored by the search indexer.Precedence:
--dataDir, --gitUrl, etc.) and Environment Variables (DATA_DIR, GIT_URL, etc.) override all other settings. CLI arguments take precedence over Environment Variables.docs-mcp.config.json (includeDir, gitUrl, toolName, etc.) define defaults used during npm run build and also serve as runtime defaults if not overridden.toolName: 'search_docs', autoUpdateInterval: 5).Note: If both includeDir and gitUrl are provided in the same configuration source (e.g., both in the config file, or both as CLI args), gitUrl takes precedence.
You can use this project as a template to create and publish your own npm package with documentation or code pre-built into it. This provides a zero-configuration experience for users (like Example 2 above).
docs-mcp.config.json: Define the includeDir or gitUrl pointing to your content source. Set the default toolName and toolDescription.package.json: Change the name (e.g., @my-org/my-docs-mcp), version, description, etc.npm run build. This clones/copies your content into the data directory and makes the package ready.npm publish (you'll need npm authentication configured).Now, users can run your specific documentation server easily: npx @my-org/my-docs-mcp@latest.
(The previous "Running", "Dynamic Configuration at Runtime", and "Environment Variables" sections have been removed as npx usage with arguments within client configurations is now the primary documented method.)
This MCP server exposes a search tool to connected AI assistants via the Model Context Protocol. The tool's name and description are configurable (see Configuration section). It searches the content with
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.