mcp-session-insight

mcp-session-insight

Enables AI assistants to query and analyze past Claude Code sessions, providing structured insights like file changes, decisions, errors, and git history across projects.

Category
Visit Server

README

<img src="banner.png" width="100%" alt="mcp-session-insight" />

<div align="center">

MCP Session Insight

AI-Native Session Observability for Claude Code

简体中文 | English

npm license node MCP TypeScript Vitest

</div>


Why session-insight?

Claude Code sessions accumulate rich context — file changes, user requests, decisions, errors, git history — but that context vanishes when the session ends. CLAUDE.md stores static rules, but can't answer "what did I work on today?" or "what went wrong in that last session?".

session-insight gives your AI assistant a read-only lens into all past sessions:

  • Session analytics — extract structured insights from JSONL: file changes, decisions, errors, tool usage, todo progress
  • EnrichedSummary — returns structured JSON instead of Markdown templates, letting the calling LLM synthesize concise summaries at zero extra API cost
  • Cross-project git logs — collect commit history across all projects with date range, project, and author filters
  • Semantic classification — bash commands classified into 9 categories (build/test/deploy/debug/network/run/git/explore/other)
  • Session handoff — generate structured context for seamless session continuation

Quick Start

# Install
npm install -g @morningljn/mcp-session-insight

# One-command setup
claude mcp add session-insight -- npx @morningljn/mcp-session-insight

Restart your AI assistant and it can now query all past sessions.

Manual Setup

Add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "session-insight": {
      "command": "npx",
      "args": ["@morningljn/mcp-session-insight"]
    }
  }
}

Tools

Tool Description
list_sessions List all sessions with optional project filter and limit
show_session Show session metadata (supports prefix matching on session ID)
search_sessions Search sessions by keyword in content or ID
get_session_summary Returns EnrichedSummary JSON for LLM synthesis
get_session_changes Get file changes (created / modified / read)
get_session_requests Get deduplicated user requests
get_session_todos Get todo progress snapshots
get_session_errors Get errors and issues with context
get_session_decisions Get key decisions from thinking blocks
get_session_conversation Get conversation history with role filter
get_git_logs Collect git commit logs across projects

get_session_summary (EnrichedSummary)

Returns structured JSON instead of formatted text. The calling LLM reads the data and synthesizes a concise summary — zero extra API cost.

{
  "sessionDuration": "116min",
  "messageDensity": "low",
  "classifiedBash": [{ "cmd": "npm test", "category": "test" }],
  "errorsWithContext": [{ "message": "...", "trigger": "Bash", "relatedFile": "src/server.ts" }],
  "fileChangeGroups": [{ "directory": "src", "created": ["git.ts"], "modified": [] }],
  "dedupedRequests": ["refactor summary to structured JSON"],
  "decisions": ["use Jaccard trigram for dedup"],
  "toolStats": { "Bash": 93, "Read": 39, "Edit": 38 },
  "gitActions": ["git commit -m \"feat: ...\"", "git push origin main"]
}

get_git_logs

Collect git commit history across all Claude Code projects:

[
  {
    "project": "/Users/user/project",
    "projectName": "my-app",
    "commits": [
      { "hash": "a1b2c3d", "message": "feat: add auth", "author": "user", "date": "2026-05-20T10:00:00+08:00", "files": ["src/auth.ts"] }
    ]
  }
]

Architecture

┌───────────────────┐   stdio    ┌──────────────────┐   read     ┌──────────────────────────┐
│   MCP Client      │◄─────────►│ session-insight  │◄──────────►│ ~/.claude/projects/      │
│ (Claude / Codex)  │   JSON    │     server       │            │                          │
└───────────────────┘           └───────┬──────────┘            │  ┌─project-a/            │
                                        │                       │  │  ├─session-1.jsonl     │
                                 ┌──────┴──────┐                │  │  └─session-2.jsonl     │
                                 │             │                │  └─project-b/            │
                                 │  Extractor  │   Git Log      │     └─session-3.jsonl     │
                                 │  (summary,  │   Collector    │                          │
                                 │   classify, │   (git log     └──────────────────────────┘
                                 │   dedup,    │    per project)
                                 │   errors)   │
                                 └─────────────┘

Key design decisions:

  • Stateless — no database, no persistence, reads JSONL directly on each request
  • Zero dependencies — only @modelcontextprotocol/sdk, all processing is pure computation
  • LLM-friendly output — structured JSON that the calling LLM synthesizes into natural language

Development

npm install
npm test        # run tests with vitest
npm run build   # compile TypeScript
npm start       # start MCP server

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured