What AI providers are supported?
Anthropic (Claude), OpenAI (GPT), OpenAI‑compatible (e.g., Azure), and Google (Gemini).
Summarization Functions MCP Server
@Braffolk
Basic information
About Summarization Functions MCP Server
Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents
Summarization Functions MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositorySummarization Functions MCP Server tools
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Overview
What is Summarization Functions?
An MCP server that provides intelligent text summarization for AI agents, primarily developed to enhance context window management and prevent overflow. It integrates with the Model Context Protocol and supports multiple AI providers (Anthropic, OpenAI, OpenAI-compatible, Google).
How to use Summarization Functions?
Install via npm i mcp-summarization-functions, then add the server to your MCP configuration file with required environment variables (PROVIDER and API_KEY). Use tools like summarize_command, summarize_files, summarize_directory, summarize_text, and get_full_content.
Key features of Summarization Functions
- Command output summarization with execution.
- File content analysis with technical accuracy.
- Directory structure overview with recursion.
- Flexible model support across providers.
- AI agent context optimization with caching.
Use cases of Summarization Functions
- Summarizing large command outputs to prevent AI agent context overflow.
- Analyzing file contents focused on security, API surface, or errors.
- Getting quick overviews of complex directory structures.
- Summarizing arbitrary text like logs, errors, or API responses.
Frequently asked questions
How is it used with AI agents?
Include the provided “CONTEXT MANAGEMENT” prompt in agent instructions to mandate summarization for all large outputs (commands, files, directories, etc.).
What tools does the server expose?
`summarize_command`, `summarize_files`, `summarize_directory`, `summarize_text`, and `get_full_content`.
What environment variables are required?
`PROVIDER` (e.g., ANTHROPIC) and `API_KEY`. Optional: `MODEL_ID`, `PROVIDER_BASE_URL`, `MAX_TOKENS`, `SUMMARIZATION_CHAR_THRESHOLD`, `SUMMARIZATION_CACHE_MAX_AGE`, and `MCP_WORKING_DIR`.
Is there a caching mechanism?
Yes; summarized content is cached with a default maximum age of 1 hour (`SUMMARIZATION_CACHE_MAX_AGE`). Full content is stored for later retrieval via `get_full_content`.
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