Summarization FunctionsSAFE
Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
Intelligent text summarization for the Model Context Protocol
Features • AI Agent Integration • Installation • Usage
[](https://smithery.ai/server/mcp-summarization-functions) [](https://www.npmjs.com/package/mcp-summarization-functions)
Overview
A powerful MCP server that provides intelligent summarization capabilities through a clean, extensible architecture. Built with modern TypeScript and designed for seamless integration with AI workflows.
Installation
Installing via Smithery
To install Summarization Functions for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-summarization-functions --client claude
npm i mcp-summarization-functions
AI Agent Integration
This MCP server was primarily developed to enhance the performance and reliability of AI agents like Roo Cline and Cline. It addresses a critical challenge in AI agent operations: context window management.
Context Window Optimization
AI agents frequently encounter situations where their context window gets rapidly filled with large outputs from:
- Command execution results
- File content readings
- Directory listings
- API responses
- Error messages and stack traces
This server helps maintain efficient context usage by:
- Providing concise, relevant summaries instead of full content
- Storing full content for reference when needed
- Offering focused analysis based on specific needs (security, API surface, etc.)
- Supporting multiple output formats for optimal context utilization
Benefits for AI Agents
- Reduced Failure Rates: By preventing context window overflow
- **Improved Response Qu
536256d68785OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add mcp-summarization-functions --env ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} --env API_KEY=${API_KEY} --env GEMINI_API_KEY=${GEMINI_API_KEY} --env MAX_TOKENS=${MAX_TOKENS} -- npx -y [email protected]{
"mcpServers": {
"mcp-summarization-functions": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
"API_KEY": "${API_KEY}",
"GEMINI_API_KEY": "${GEMINI_API_KEY}",
"MAX_TOKENS": "${MAX_TOKENS}"
}
}
}
}Exposed tools (7)
6 read · 1 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
get_full_content | read | Retrieve the full content for a given summary ID |
summarize_command | write | Execute a command and summarize its output if it exceeds the threshold |
summarize_directory | read | Summarize the structure of a directory |
summarize_directoryEval | read | Evaluates the directory summarization functionality |
summarize_files | read | Summarize the contents of one or more files |
summarize_text | read | Summarize any text content (e.g., MCP tool output) |
summarize_textEval | read | Evaluates the summarize_text tool by providing text to summarize |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (2 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (8)
import { AnthropicModel, createAnthropicModel } from '../../models/anthropic.js';import { ModelConfig, SummarizationOptions } from '../../types/models.js';import { constructPrompt, getBaseSummarizationInstructions, getFinalInstructions } from '../../models/prompts.js';import { createAnthropicModel } from '../../models/anthropic.js';import { OpenAIModel } from '../../models/openai.js';@anthropic-ai/sdk, @modelcontextprotocol/sdk, dotenv, execa, isomorphic-fetch, mcp-evals, uuid, @types/isomorphic-fetch
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentatio
in_action.png
Gates applied: no_behavioural_pass.
536256d68785full audit observations/trust-audit/mcp-server/braffolk__summarization-functions.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 536256d68785 | SAFE | B | 89 | first audit |
Questions
What is the Summarization Functions MCP server?
Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents
What tools does Summarization Functions expose?
7 in total: 6 read-only, 1 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is Summarization Functions safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does Summarization Functions need?
It reads ANTHROPIC_API_KEY, API_KEY, GEMINI_API_KEY, MAX_TOKENS and OPENAI_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does Summarization Functions run?
It speaks stdio, so it runs as a local process your client starts. It is published on npm as mcp-summarization-functions at 0.1.5.
How current is this page?
The grade is for one exact copy of the source (536256d68785), read on 2026-10-08. The repository is watched and re-audited when it changes.