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Contextforge MCP

by alfredoizdevversion 0.13.3i★ –iRuns on your computer
Registry nameio.github.alfredoizdev/contextforge-mcp

Install

Overview

Description from the maker (original English)

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: CONTEXTFORGE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: CONTEXTFORGE_API_KEY, CONTEXTFORGE_API_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "contextforge": {
      "command": "npx",
      "args": [
        "-y",
        "contextforge-mcp"
      ],
      "env": {
        "CONTEXTFORGE_API_KEY": "your-value",
        "CONTEXTFORGE_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add contextforge --env CONTEXTFORGE_API_KEY=your-value --env CONTEXTFORGE_API_URL=your-value -- npx -y contextforge-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "contextforge": {
      "command": "npx",
      "args": [
        "-y",
        "contextforge-mcp"
      ],
      "env": {
        "CONTEXTFORGE_API_KEY": "your-value",
        "CONTEXTFORGE_API_URL": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "contextforge": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "contextforge-mcp"
      ],
      "env": {
        "CONTEXTFORGE_API_KEY": "your-value",
        "CONTEXTFORGE_API_URL": "your-value"
      }
    }
  }
}

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.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • CONTEXTFORGE_API_KEY secret required env
    Your API key from the ContextForge dashboard at contextforge.dev
  • CONTEXTFORGE_API_URL env
    API endpoint URL (defaults to production)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account alfredoizdev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7247 servers in this category
  • Published to the registry more recently than 94% of the other 7247 servers in this category
  • Basic checks equal to or better than 100% of the other 7247 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Contextforge MCP safe?

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.

What keys or codes does it need?

You need to fill in: CONTEXTFORGE_API_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.13.3) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ContextForge MCP — Persistent Memory for Claude, Cursor & Copilot

Give Claude Code, Cursor, and GitHub Copilot persistent memory across sessions via the Model Context Protocol (MCP). Stop re-explaining your project every time.

ContextForge MCP is an open-source MCP server that connects your AI coding assistants to long-term, searchable memory. Decisions, architecture notes, debugging context, and project knowledge stay available across every session — across every tool that supports MCP.

  • 🧠 Persistent memory — your AI remembers everything across sessions, days, and weeks
  • 🔍 Semantic search — find knowledge by meaning, not keywords
  • 🔗 One memory, every tool — Claude Code, Cursor, Copilot, Claude Desktop, Windsurf
  • 🐙 Git integration — sync commits and PRs automatically
  • ✅ Task tracking — issues, assignments, and project status
  • 👥 Team collaboration — share projects and memory with your team
  • 🆓 Free tier — get started without a credit card

[!NOTE]

Works automatically, no config needed (v0.5.1+). On connect, the server sends startup instructions to your AI client. Clients that honor them (Claude Desktop, Claude Code) load your project memory at the start of every session and save new decisions proactively — without you editing any settings. Running init (Step 4) is now a reinforcement, not a requirement, and still helps on clients that don't yet honor server instructions (e.g. Cursor).


Quick Start

1. Install

No install step needed — the setup below runs the server via npx -y contextforge-mcp, which fetches it on demand and keeps it up to date.

Prefer a global install for slightly faster cold starts? npm install -g contextforge-mcp is optional; if you do it, you can drop the npx -y prefix from the commands below.

2. Get your API key
  1. Go to [contextforge.dev](https://contextforge.dev)
  2. Sign up (free tier available)
  3. Settings → API Keys → Generate API Key
  4. Copy your key (starts with cf_)
3. Connect to your AI tool
Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{

"mcpServers": { "contextforge": { "command": "npx", "args": ["-y", "contextforge-mcp"], "env": { "CONTEXTFORGE_API_KEY": "your-api-key-here" } } } }

Restart Claude Desktop.

Claude Code (CLI)
claude mcp add contextforge -s user \

-e CONTEXTFORGE_API_KEY=your-api-key-here \ -- npx -y contextforge-mcp

Restart Claude Code and run /mcp to verify it's connected.

Cursor

Add to your Cursor MCP settings:

{

"mcpServers": { "contextforge": { "command": "npx", "args": ["-y", "contextforge-mcp"], "env": { "CONTEXTFORGE_API_KEY": "your-api-key-here" } } } }

GitHub Copilot (VS Code)

Add to your Copilot MCP config:

{

"servers": { "contextforge": { "command": "npx", "args": ["-y", "contextforge-mcp"], "env": { "CONTEXTFORGE_API_KEY": "your-api-key-here" } } } }

4. Initialize your project (recommended)

With v0.5.1+ the server auto-loads memory on supporting clients (see the note at the top), so this step is optional but recommended: it reinforces the behavior, covers clients that don't honor server instructions, and fully overrides the built-in file-based memory.

Set up your project so your AI editor always prefers ContextForge memory:

npx contextforge-mcp init

By default, init auto-detects which editor your project uses and writes three rule sections and two hooks:

  • Memory rules — route memory questions to ContextForge instead of the built-in file memory
  • Session Presence rules — make parallel sessions check for each other at conversation start and before big changes
  • Startup Context rules — load a short project summary (overview, open tasks, live sessions) from ContextForge at the start of every conversation
  • Post-compaction recall hook (Claude Code only) — a SessionStart hook with matcher compact in .claude/settings.json. When Claude Code compacts a long conversation, the hook runs npx -y contextforge-mcp recall and re-injects the session objective, memories relevant to what you are working on, your project's 10 most recent memories and pending tasks, so decisions saved in ContextForge survive the summary.
  • Session objective hook (Claude Code only, 0.13.0) — a UserPromptSubmit hook that runs the generated script .claude/hooks/contextforge-objective.cjs with plain node (~50 ms). It records your prompts to ~/.contextforge-mcp/sessions/ .jsonl on your machine, so recall can put the session's objective back after a compaction. The log is pruned after 14 days and never uploaded; see the privacy note below for what recall sends.

Files written:

  • CLAUDE.md for Claude Code (signals: existing CLAUDE.md or .claude/ directory)
  • .cursorrules for Cursor (signals: existing .cursorrules or .cursor/ directory)
  • .claude/settings.json for Claude Code — merged, never overwritten; only the two ContextForge hook groups are added
  • .claude/hooks/contextforge-objective.cjs for Claude Code — the generated objective hook script (safe to commit; refreshed by init when a new version ships; Claude Code's own system turns — prompts that start with an XML-like tag and contain a closing tag — are not logged)

If no editor is detected, both files are generated.

On clients that honor server instructions (Claude Desktop, Claude Code), ContextForge is used automatically even without this step. On other clients — or to guarantee the built-in file-based auto-memory never wins — run init: it writes explicit rules that always route memory to ContextForge.

Override with --editor
FlagBehavior
--editor=claudeGenerate only CLAUDE.md
--editor=cursorGenerate only .cursorrules
--editor=allGenerate both, skip detection

Re-running init is idempotent per section — sections you already have are left untouched; missing ones are appended. Upgrading from an older version? Just re-run npx contextforge-mcp init: it adds the new Startup Context section without touching the rest of your file.

Check your version
npx contextforge-mcp --version   # also: -v, version

Prints the installed version (e.g. contextforge-mcp 0.5.2).

Surviving compaction (Claude Code)

Long sessions get compacted: Claude Code summarizes the conversation to free space, and the summary keeps the gist but drops details — usually the decisions, and often the task itself. init installs two hooks that fix both:

  1. Objective hook (UserPromptSubmit) — records each prompt locally so the session's first real request is never lost to the summary.
  2. Recall hook (SessionStart, matcher compact) — fires right after every compaction and prints back, in this order: the session objective and the latest request before the cut; up to 5 memories relevant to the current work (semantic search over the objective, git branch, recent commit subjects and changed files, whatever their age); the project's 10 most recent memories; up to 5 pending tasks; and a reminder to call memory_query for anything older. The whole block stays around 4 KB and is injected once, never pinned, so it does not move the compaction trigger.

The relevance search is one metered query per compaction. It only runs when there is a session objective or you are on a non-default branch (git-only context on main is noise), it runs in parallel with the other fetches under the same 6-second stage deadline, so a slow search can never drop the rest of the block, and CONTEXTFORGE_RECALL_RELEVANCE=0 in the environment turns it off entirely.

The hooks run as plain shell commands, so recall reads your API key from CONTEXTFORGE_API_KEY if set, otherwise from the contextforge server entry in ~/.claude.json (where claude mcp add stores it), otherwise from a project .mcp.json. It needs a linked project (.contextforge in the repo root). If anything is missing it prints nothing and never blocks the session. Note that a CONTEXTFORGE_API_KEY exported in your shell profile wins over ~/.claude.json: if it holds an old key, recall silently prints nothing.

Try it by hand from your project directory:

npx contextforge-mcp recall           # prints the block for the newest session in this directory

npx contextforge-mcp recall --stats # local numbers: recalls, objective coverage, follow-up queries

Privacy: the prompt log and the recall stats live under ~/.contextforge-mcp/ on your machine and are never uploaded. What leaves the machine: after a compaction, recall sends the session objective (at most 600 characters, together with the git branch, recent commit subjects and changed file names) to ContextForge as the search query, the same way memory_query sends a query; it is not stored. Note that .claude/settings.json is usually committed, so teammates who pull the repo get the prompt hook too; they can remove the UserPromptSubmit group to opt out.

Already using ContextForge? (existing users)

Nothing to reconfigure. Update to the latest and restart your AI client:

npm update -g contextforge-mcp   # only if you installed globally; npx users get it on next launch

You do not need to re-run init for the auto-load behavior. To get the post-compaction recall hook and the session objective hook, run npx contextforge-mcp init once in each project; it only adds what is missing. Since 0.13.2 the server reminds you once per project when the recall hook is installed but the objective hook is missing or outdated.


Available Tools

ContextForge defines 69 tools across Knowledge Management, GitHub Integration, Issue Tracking, and Collaboration. No capability was ever removed — every tool below is fully callable — but since v0.11.0 your AI client sees only a small subset by default — 15 since v0.13.3 (11 in 0.11.0–0.13.2) (CONTEXTFORGE_TOOLS=lean, the default):

  • 14 core tools — the ten used on the agent's own initiative every session: memory_query, memory_ingest, memory_check_freshness, memory_confirm, memory_correct, memory_forget, tasks_list, tasks_what_next, session_list, memory_help — plus the four that CLAUDE.md / .cursorrules files generated before 0.11.0 call by name, kept visible so those files keep working without re-running init: session_update, memory_current_project, memory_link_project, memory_list_items.
  • `cf_tools` — one gateway tool that discovers and runs the other 55 (and can reach the core ones too). Ask your AI naturally ("sync my git commits", "restore from a snapshot", "olvida ese recuerdo viejo") and it searches (English or Spanish) and calls the right tool for you — no need to know an exact name.

Set CONTEXTFORGE_TOOLS=full to expose all 69 tools directly to your client instead, matching the behavior of versions before 0.11.0. See Environment Variables.

Why lean by default: 69 tool schemas cost ~15,000 tokens of context on every session, push past Cursor's 40-tool cap, and contribute to the accuracy degradation several clients show past ~50 tools. The lean set cuts that to ~3,500 tokens (~77% less) while keeping every tool one call away via cf_tools.

##

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