Contextforge

by alfredoizdev

290 downloads

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About

Persistent memory MCP server for Claude. Store decisions, code snippets, and knowledge that

Details

Author: alfredoizdev
Downloads: 290
Categories: Knowledge Base, AI, Developer Tools, Communication

- Semantic search with pgvector embeddings tuned for technical content
- Automatic Git/PR sync — every commit becomes searchable context
- Project‑based organization with separate memory per project
- Team collaboration – share knowledge across your team
- Free tier includes 1 project, 3 spaces, 200 documents, 500 queries/month

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Contextforge

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

From the repository

Install with npx contextforge-mcp or add via Claude Code using claude mcp add contextforge -e CONTEXTFORGE_API_KEY=<your-key> -- npx contextforge-mcp. Obtain an API key at contextforge.dev.

`memory_ingest`

Add content to the contextual memory. Use this to store code snippets, documentation, decisions, or any knowledge you want to remember.

`memory_query`

Search the contextual memory using semantic search. Returns the most relevant stored content based on your query.

`memory_get_item`

Get the full content of a knowledge item by its ID. Use this when memory_query returns truncated previews and you need the complete content.

`memory_list_projects`

List all projects. Projects contain multiple spaces for organizing knowledge by project.

`memory_create_project`

Create a new project to organize related spaces

`memory_list_spaces`

List knowledge spaces (workspaces). By default shows only knowledge spaces. Use space_type "git" for GitHub repos, or "all" to see everything.

`memory_create_space`

Create a new memory space (workspace) for organizing knowledge

`memory_move_space`

Move a space to a different project

`memory_delete_space`

Delete a space and all its items permanently. This action cannot be undone.

`memory_delete_project`

Delete a project and all its spaces permanently. This will delete all spaces and their items within the project. This action cannot be undone.

`memory_relate`

Create a relationship between two knowledge items

`memory_delete`

Delete a knowledge item from memory by ID or title

`memory_stats`

Get statistics about memory usage

`memory_list_items`

List all items stored in memory. Shows titles, previews, tags, and creation dates.

`memory_help`

Show help and usage instructions for ContextForge memory commands

`memory_git_connect`

Connect a GitHub repository to automatically sync commits and PRs to memory

`memory_git_list`

List all connected GitHub repositories

`memory_git_activate`

Activate or deactivate a connected repository webhook after setup

`memory_git_disconnect`

Disconnect a GitHub repository and stop syncing

`memory_git_sync`

Sync existing commits and PRs from a connected GitHub repository into memory

`memory_git_commits`

List commits stored in memory from connected repositories

`memory_git_prs`

List pull requests stored in memory from connected repositories

`memory_snapshot_create`

Create a snapshot (backup) of the current memory state

`memory_snapshot_list`

List all available snapshots

`memory_snapshot_restore`

Restore memory to a previous snapshot state

`memory_snapshot_delete`

Delete a snapshot

`memory_export`

Export all items from a space to JSON, Markdown, or CSV format

`memory_import`

Import items from JSON, Markdown, Notion, or Obsidian format into a space

`memory_ingest_batch`

Add multiple items to memory in a single operation. More efficient than multiple single ingests.

`memory_delete_batch`

Delete multiple items from memory based on filters. Use dry_run=true first to preview what will be deleted.

`memory_link_project`

Link the current directory to a ContextForge project. When linked, all queries will be automatically filtered to only search within that project's spaces. This creates a .contextforge file in the current directory.

`memory_unlink_project`

Remove the project link from the current directory. This deletes the .contextforge file and queries will no longer be filtered by project.

`memory_current_project`

Show the currently linked project for this directory, including its spaces. Use this to see which project is linked and what spaces are available.

`tasks_list`

List tasks assigned to you. Shows pending tasks by default. Use status "all" to see everything, or "resolved" for completed tasks. IMPORTANT: Each task includes a dashboard URL (🔗). You MUST include these clickable links when presenting tasks to the user.

`tasks_start`

Mark a task as "in_progress". Use this when you start working on a task. The response includes a dashboard URL — always show it to the user.

`tasks_resolve`

Mark a task as "resolved". Use this when you finish working on a task. The response includes a dashboard URL — always show it to the user.

`tasks_what_next`

Get a recommendation of what task to work on next, based on priority and due dates. Use this when you want to know what task to focus on. The response includes a dashboard URL — always show it to the user.

`tasks_create`

Create a new task in a project. Optionally assign it to a collaborator by their email. The response includes a dashboard URL — always show it to the user.

`tasks_update`

Update a task's title, description, status, priority, tags, due date, or assignee. Provide issue_id or short_id to identify the task, plus one or more fields to update. The response includes a dashboard URL — always show it to the user.

`tasks_assign`

Assign a task to a collaborator by their email address. The response includes a dashboard URL — always show it to the user.

`tasks_resolve_by_name`

Resolve a task by searching for it by title. Use this when you only know the task name. The response includes a dashboard URL — always show it to the user.

`tasks_delete`

Delete a task by ID or short_id. This performs a soft delete (sets deleted_at timestamp).

`collaborators_list`

List collaborators on a shared project. Shows who has access and what tasks are assigned to them.

`project_share`

Share a project with a collaborator by email. Creates an invitation and returns the invite URL. An email notification may also be sent.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "contextforge": {
            "contextforge": {
                "command": "npx",
                "args": [
                    "-y",
                    "contextforge-mcp"
                ],
                "env": {
                    "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

McpServers

{
    "contextforge": {
        "command": "npx",
        "args": [
            "-y",
            "contextforge-mcp"
        ],
        "env": {
            "CONTEXTFORGE_API_KEY": "<YOUR_API_KEY>"
        }
    }
}

ContextForge MCP Server

Persistent memory for AI coding agents — Claude Code, Cursor, GitHub Copilot, and more. ## What it does ContextForge gives your AI coding assistants long-term memory. They remember code patterns, decisions, project context, and your preferences across sessions. No more re-explaining the same context every conversation. ## Key features - Semantic search — pgvector embeddings tuned for technical content - Git/PR sync — every commit becomes searchable context automatically - Project-based organization — separate memory per project, with shared spaces - Team collaboration — share knowledge across your team - Free tier — 1 project, 3 spaces, 200 documents, 500 queries/month, no credit card ## Works with - Claude Code - Claude Desktop - Cursor - GitHub Copilot (via MCP) - ChatGPT (via MCP) - Windsurf - Any MCP-compatible client

Install

Quick install: npx contextforge-mcp Or via Claude Code: claude mcp add contextforge -e CONTEXTFORGE_API_KEY=<your-key> -- npx contextforge-mcp Get your API key at contextforge.dev. - Landing page: contextforge.dev - GitHub: alfredoizdev/contextforge-mcp - npm: contextforge-mcp

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About

Details

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Setting up with Highlight

From the repository

memory_ingest

memory_query

memory_get_item

memory_list_projects

memory_create_project

memory_list_spaces

memory_create_space

memory_move_space

memory_delete_space

memory_delete_project

memory_relate

memory_delete

memory_stats

memory_list_items

memory_help

memory_git_connect

memory_git_list

memory_git_activate

memory_git_disconnect

memory_git_sync

memory_git_commits

memory_git_prs

memory_snapshot_create

memory_snapshot_list

memory_snapshot_restore

memory_snapshot_delete

memory_export

memory_import

memory_ingest_batch

memory_delete_batch

memory_link_project

memory_unlink_project

memory_current_project

tasks_list

tasks_start

tasks_resolve

tasks_what_next

tasks_create

tasks_update

tasks_assign

tasks_resolve_by_name

tasks_delete

collaborators_list

project_share

Claude Desktop / Cursor

McpServers

ContextForge MCP Server

Install

Install

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`memory_ingest`

`memory_query`

`memory_get_item`

`memory_list_projects`

`memory_create_project`

`memory_list_spaces`

`memory_create_space`

`memory_move_space`

`memory_delete_space`

`memory_delete_project`

`memory_relate`

`memory_delete`

`memory_stats`

`memory_list_items`

`memory_help`

`memory_git_connect`

`memory_git_list`

`memory_git_activate`

`memory_git_disconnect`

`memory_git_sync`

`memory_git_commits`

`memory_git_prs`

`memory_snapshot_create`

`memory_snapshot_list`

`memory_snapshot_restore`

`memory_snapshot_delete`

`memory_export`

`memory_import`

`memory_ingest_batch`

`memory_delete_batch`

`memory_link_project`

`memory_unlink_project`

`memory_current_project`

`tasks_list`

`tasks_start`

`tasks_resolve`

`tasks_what_next`

`tasks_create`

`tasks_update`

`tasks_assign`

`tasks_resolve_by_name`

`tasks_delete`

`collaborators_list`

`project_share`