Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Recap AI coding sessions (Claude Code, Codex, dsh, OpenCode): intent, decisions, open threads.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"session-recap": {
"command": "npx",
"args": [
"-y",
"session-recap",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add session-recap -- npx -y session-recap mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"session-recap": {
"command": "npx",
"args": [
"-y",
"session-recap",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"session-recap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"session-recap",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account BruceXcluding, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.6.1) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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English | 中文
Remember what every AI coding session was for.
intent · key decisions · what changed · open threads · where to resume, for sessions of any length, from any agent, through MCP, a local viewer or a plugin
Projects grow, and so does the number of sessions in each one, often across several agents. After a few weeks a session is a 100 MB transcript you no longer remember: why you started it, what you decided, what was left half done.
session-recap reads a session's whole transcript and writes a short, structured recap. Use it from any MCP client (Codex, Cursor, Zed, Cline, Gemini CLI, OpenCode, Claude Code…), in a local viewer for every agent's sessions, from the command line, or through native plugins for Claude Code, dsh and Codex.
| Section | What it answers |
|---|---|
| Intent | What was I ultimately trying to achieve? |
| Key ideas and decisions | What did we choose, and why? Which alternatives were rejected? |
| What changed | Files, features, documents, commits, PRs |
| Open threads | What is unfinished, unverified or still a question |
| Where to resume | The most sensible next step today |
Every recap also has a Map: the phases the work went through (pivots marked) down to "you are here", the key decisions with what was turned down, and lists of what shipped, what is open and what was dropped. Recaps are written in the language you mostly write in.
npm install -g session-recap
session-recap mcp-config # prints the MCP entry for your client session-recap serve # opens the local viewer
Then, in your agent: *"Recap this session"*, *"What was my last session in this project about?"*, *"总结一下这个会话"*.
No API key needed. Through MCP, the agent you are talking to writes the recap with its own model; session-recap only reads and condenses the transcript. A model of session-recap's own is optional (for the CLI and the viewer's Write recap button).
Or run it without installing: npx session-recap …. session-recap has no dependencies and runs no install scripts. The development version: npm install -g github:BruceXcluding/session-recap --allow-git=all (npm 12 blocks installs from GitHub without the flag).
Requirements: Node.js 20+, python3 (macOS ships one), and for dsh sessions the zstd command or Python 3.14+.
| Best for | How | |
|---|---|---|
| MCP server | any MCP client | session-recap mcp-config , see below |
| Local viewer | browsing every agent's sessions, Recap and Map | session-recap serve |
| Claude Code plugin | a Recap / Map pane beside the chat | /plugin install session-recap --marketplace BruceXcluding/session-recap |
| dsh plugin | /recap and the session_recap tool in dsh | packages/dsh |
| Codex plugin | the MCP server, packaged for Codex | plugins/codex |
| Command line | scripts, quick looks, other formats | session-recap, session-recap list |
session-recap mcp-config prints the entry for claude, codex, cursor, gemini (and Qwen Code), opencode, zed, vscode or cline, with absolute paths so an IDE started from the dock finds it. For example:
session-recap mcp-config codex >> ~/.codex/config.toml
claude mcp add --scope user session-recap -- session-recap mcp
Tools:
| Tool | What it does |
|---|---|
list_sessions | Sessions of every agent, filtered by title words, project folder or agent |
recap_session | The recap of the current session (or one named): a stored one if the session has not changed; else written by session-recap's model if one is configured; else the condensed, secret-free transcript and instructions for the calling agent to write it |
save_recap | Stores the recap the agent wrote, so it is reused, and updated from the new part next time |
recap_session also takes format: standup, handoff or pr instead of the recap.
session-recap serve opens http://127.0.0.1:4711 with every agent's sessions by project folder, grouped by time, filtered by agent; each session's Recap and Map; and, with a model configured, Write recap and Update recap. It reads the recaps written by the Claude Code plugin, the CLI and MCP clients alike. It answers only on loopback, to the browser tab it opened.
/session-recap recaps the session you are in; /session-recap browse lists projects and sessions; /session-recap opens a project or a session by name. The pane shows Recap and Map, uses the session's own model (or one picked under Model), and shows your Claude Code sessions first, with All agents one tap away.
| Command | What it does |
|---|---|
session-recap [words] | Recaps the session whose title holds the words; with none, the newest one in this folder |
session-recap list [words] | Lists sessions (the calling agent's; --all for every agent) |
session-recap --format standup | A standup note instead (handoff, pr) |
session-recap --dry-run | Shows the size that would be sent, and how many secrets were removed, without calling a model |
session-recap models | Lists your provider's models |
session-recap config set model | Saves settings (partModel, api, baseUrl; the key with config set apiKey - from stdin) |
The CLI's own model: SESSION_RECAP_API (anthropic or openai), SESSION_RECAP_BASE_URL, SESSION_RECAP_API_KEY, SESSION_RECAP_MODEL, or ANTHROPIC_*, DEEPSEEK_API_KEY, OPENAI_API_KEY.
| Agent | Sessions read from |
|---|---|
| Claude Code | ~/.claude/projects/ |
| Codex | ~/.codex/sessions/, archived_sessions/ (review threads left out) |
| dsh (deepseek-harness) | ~/.dsh/sessions/ (zstd; subagent sessions left out) |
| OpenCode | ~/.local/share/opencode/opencode.db |
Want another? Adding an agent is one reader and one test, or ask for it.
PASSWORD=…-style assignments are replaced with [REDACTED: ] before any text reaches a model. --dry-run shows how many. It is pattern matching, so it cannot know every format: see SECURITY.md.Listing never calls a model. On a real 179 MB Claude Code session (220 prompts), a first recap sends about 195k characters (~96k tokens); when the session continues, an update reads only the new prompts. Long sessions are condensed in parts of ≤75k characters, each part's notes cached, and a cheaper model can condense the parts (partModel).
saved sessions (Claude Code · Codex · dsh · OpenCode)
│ hooks/digest.py one reader per agent → turns (prompt, actions, final reply, edits) → secrets removed │ core/recap.mjs parts → notes (parallel, cached) → one call writes the recap and its map, or updates it │ MCP server · viewer · CLI · Claude Code pane · dsh tool and /recap (one cache: ~/.cache/session-recap)
Output is versioned: see docs/data-format.md and schema/recap-v1.schema.json to build your own viewer or exporter.
Agents, recap formats, translations and viewers are all welcome. Start with CONTRIBUTING.md; adding an agent and adding a format (one entry in core/formats.mjs) are the easiest first contributions.
MIT