Documentation ◆ Samples ◆ Python SDK ◆ Tools ◆ MCP Server
This MCP server provides curated documentation access to your GenAI tools via llms.txt files, enabling AI coding assistants to find pages by title and retrieve their contents.
- Document Search: Weighted TF-IDF ranking over document titles, extended to page content once a page is hydrated (fetched), so body terms become searchable
- Section-Based Browsing: Browse document structure via table of contents, then fetch only the section you need - more token-efficient than retrieving full pages
- Curated Content: Indexes documentation from llms.txt files with clean, human-readable titles
- On-Demand Fetching: Lazy-loads full document content only when needed for optimal performance
- Snippet Generation: Hydrates the top-ranked pages to provide contextual previews
- Real URL Support: Works with actual HTTPS URLs while maintaining backward compatibility
search_docs(query, k)ranks by document title and by page content once a page has been hydrated. Both title-like keywords and body terms work; callfetch_docto inspect a result's contents.- Search scores are unbounded weighted TF-IDF values. They are useful only for ordering results from the same query; they are not probabilities and should not be compared across queries.
search_docsreturns an empty list when no document matches. If a matched page cannot be fetched for its snippet, the result still includes the URL and title.fetch_docreturns{"error": "...", "url": "..."}for unsupported URLs and failed page fetches. For sectioned documents, unknown section IDs also return an error;sectionis ignored when the full document is returned automatically.
STRANDS_MCP_PREFETCH_ALL: when set to a truthy value (1,true,yes), the server prefetches and indexes all pages in the background at startup, so body-term search works immediately instead of only after a page has been hydrated by a prior query. Defaults to off. Prefetch is best-effort and eventually consistent: results may be title-only until background hydration completes.
The usage methods below require uv to be installed on your system. You can install it by following the official installation instructions.
You can use the Strands Agents MCP server with 40+ applications that support MCP servers, including Amazon Q Developer CLI, Anthropic Claude Code, Cline, and Cursor.
Get started quickly with one-click installation buttons for popular MCP clients. Click the buttons below to install servers directly in your IDE:
See the Kiro documentation for instructions on managing MCP configuration.
In ~/.kiro/settings/mcp.json:
{
"mcpServers": {
"strands-agents": {
"command": "uvx",
"args": ["strands-agents-mcp-server"],
"env": {
"FASTMCP_LOG_LEVEL": "INFO"
},
"disabled": false,
"autoApprove": ["search_docs", "fetch_doc"]
}
}
}See the Q Developer CLI documentation for instructions on managing MCP configuration.
In ~/.aws/amazonq/mcp.json:
{
"mcpServers": {
"strands-agents": {
"command": "uvx",
"args": ["strands-agents-mcp-server"],
"env": {
"FASTMCP_LOG_LEVEL": "INFO"
},
"disabled": false,
"autoApprove": ["search_docs", "fetch_doc"]
}
}
}See the Claude Code documentation for instructions on managing MCP servers.
claude mcp add strands uvx strands-agents-mcp-serverSee the Cline documentation for instructions on managing MCP configuration.
Provide Cline with the following information:
I want to add the MCP server for Strands Agents.
Here's the GitHub link: @https://github.com/strands-agents/harness-sdk/tree/main/strands-mcp
Can you add it?"
See the Cursor documentation for instructions on managing MCP configuration.
In ~/.cursor/mcp.json:
{
"mcpServers": {
"strands-agents": {
"command": "uvx",
"args": ["strands-agents-mcp-server"],
"env": {
"FASTMCP_LOG_LEVEL": "INFO"
},
"disabled": false,
"autoApprove": ["search_docs", "fetch_doc"]
}
}
}See the VS Code documentation for instructions on managing MCP configuration.
In your mcp.json file:
{
"servers": {
"strands-agents": {
"command": "uvx",
"args": ["strands-agents-mcp-server"]
}
}
}You can quickly test the MCP server using the MCP Inspector:
# For published package
npx @modelcontextprotocol/inspector uvx strands-agents-mcp-server
# For local development
npx @modelcontextprotocol/inspector python -m strands_mcp_serverNote: This requires npx to be installed on your system. It comes bundled with Node.js.
The Inspector is also useful for troubleshooting MCP server issues as it provides detailed connection and protocol information. For an in-depth guide, have a look at the MCP Inspector documentation.
-
Install prerequisites:
- Install uv following the official installation instructions
- Make sure you have Node.js installed for npx commands
-
Configure your MCP client:
- Choose your preferred MCP client from the installation examples above
- Add the Strands Agents MCP server configuration to your client
-
Test the connection:
# For published package npx @modelcontextprotocol/inspector uvx strands-agents-mcp-server # For local development npx @modelcontextprotocol/inspector python -m strands_mcp_server
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Start using the documentation tools:
search_docs- Find relevant documentation with intelligent rankingfetch_doc- Browse a page's structure and preamble, then read individual sections- The server automatically indexes curated content from llms.txt files
git clone https://github.com/strands-agents/harness-sdk.git
cd harness-sdk/strands-mcp
python3 -m venv venv
source venv/bin/activate
pip3 install -e ".[dev]"
npx @modelcontextprotocol/inspector python -m strands_mcp_server# Unit tests (fast, no network access required)
pytest tests/
# Integration tests (requires network access to strandsagents.com)
pytest tests_integ/ -v
# All tests
pytest tests/ tests_integ/ -vTo skip integration tests (e.g., in CI environments without network access):
SKIP_INTEG_TESTS=1 pytest tests_integ/We welcome contributions! See our Contributing Guide for details on:
- Reporting bugs & features
- Development setup
- Contributing via Pull Requests
- Code of Conduct
- Reporting of security issues
Come meet the Strands team and other users on Discord
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
See CONTRIBUTING for more information.