claude-code-session-mcp
MCP server that provides read-only analysis of Claude Code session transcripts, enabling queries about project activity, session details, and tool usage.
README
claude-code-session-mcp
An MCP server that lets Claude answer questions about your own Claude Code history, from the transcripts already sitting on your disk.
Three tools, all read-only. Ask "which projects did I work on last week", "what was the long session on Tuesday", "how much of this month was reading versus editing", and the model reaches for them on its own.

Nothing in that screenshot is staged. The question is one line of English, the
model picked tool_usage on its own and filled in project, since and until
from the wording, the JSON is exactly what the server returned, and the table is
the model's own summary of it. Two more runs, with the tool calls copied out of
the transcripts Claude Code wrote for them, are in
assets/real-run.md.
It counts, it does not read back
Claude Code transcripts contain everything you ever typed into it. A server that hands those back to a model is a liability, so this one is built the other way round: it reads the message text in order to count things, and returns only the counts. Prompts, replies and tool arguments never leave the process.
That is a claim worth testing rather than trusting. The fixtures carry a canary string in a prompt, in an assistant reply, and inside a tool argument, and two tests fail if it ever appears in an output: one on the reading layer, one on the far side of the protocol, checking the bytes that actually crossed the wire.
The three tools
| Tool | Answers | Arguments |
|---|---|---|
list_sessions |
What happened, and when | project, since, until, limit |
session_stats |
Everything about one session | session_id |
tool_usage |
Which tools, how often | project, since, until |
Every session carries its project, time span, turn and prompt counts, subagent turns, per-model token usage split into input, output, cache read and cache write, a tally of tool calls by name, and a count of damaged lines.
Install
git clone https://github.com/dambinhtu-nhuy/claude-code-session-mcp
cd claude-code-session-mcp
npm install
npm test
Claude Code
claude mcp add session-history -- node /absolute/path/to/server.mjs
Or drop this in .mcp.json at the root of a project:
{
"mcpServers": {
"session-history": {
"command": "node",
"args": ["/absolute/path/to/server.mjs"]
}
}
}
mcp-config.json in the repo root is that same block with a relative path, for
passing to claude --mcp-config while standing in this directory, which is how
the runs in assets/real-run.md were driven. Relative paths
only resolve from the repo root, so use the absolute form above for a real
install.
Claude Desktop
Same block, in claude_desktop_config.json:
- macOS
~/Library/Application Support/Claude/claude_desktop_config.json - Windows
%APPDATA%\Claude\claude_desktop_config.json
Restart the app afterwards. Claude Desktop only reads the config at startup.
Trying it without exposing anything
Point the server at the fixtures instead of your real history:
CLAUDE_PROJECTS_DIR=./sample/projects node server.mjs
CLAUDE_PROJECTS_DIR overrides the default of ~/.claude/projects. The test
suite uses it so no test ever touches a real session.
How it works
sessions.mjs reads the .jsonl transcripts, returns counts no MCP, no model
server.mjs declares three tools, speaks stdio no logic
The split is the point. All the counting lives in plain functions that take a string and return an object, which is why it can be tested against fixtures without a client, a network, or a model in the loop.
Two things are worth knowing if you are reading the code:
Cache tokens are reported two different ways depending on the client
version, either a flat cache_creation_input_tokens or a breakdown by TTL under
cache_creation. Reading only one of them silently undercounts.
A truncated last line is normal, because a live session is being appended to while you read it. Damaged lines are counted and reported rather than thrown, so one bad byte never hides a whole session, and the count tells you when a number is standing on incomplete data.
Tested
26 tests, 26 pass
test/sessions.test.mjs 19 the reading layer, against fixtures
test/protocol.test.mjs 7 a real MCP client, over stdio, spawning server.mjs
The protocol tests are the ones that matter for "does this work". They start
server.mjs as a child process, speak MCP to it, list the tools, call all
three, send a deliberately malformed argument, and confirm the server rejects it
by schema and is still answering afterwards.
Measured against a real transcript directory: 326 sessions, 27,392 assistant turns, 0 damaged lines, read in 1.9 seconds.
Limits worth stating
- Read-only by design. There is no tool here that writes, moves or deletes anything.
- Session content is not exposed and will not be added. If you want a model to read your old conversations back, this is the wrong tool.
- Project names come from Claude Code, which derives them from the working
directory with separators replaced by dashes, so
c:\dev\myappbecomesc--dev-myapp. There is no lookup back to the original path. - Sessions are grouped by their start day. One that runs past midnight counts on the day it began.
License
MIT.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.